<article>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#article10_01_03_199219</id>
	<title>Ideas For Exploiting NASA's SRTM Data</title>
	<author>timothy</author>
	<datestamp>1262546820000</datestamp>
	<htmltext>MaxTardiveau writes with an excerpt from an article where the pictures are worth clicking through for: <i>"Ten years ago, in February 2000, NASA mapped the entire world in eleven days. It's true: the mission was called the Shuttle Radar Topography Mission (SRTM), and over the course of eleven days, it used a big radar attached to the space shuttle to get elevation data from the vast majority of solid Earth; practically all land between 60 degrees North and 56 degrees South was included, with a resolution of 30 meters (90 feet). Over 9 terabytes of data were captured. It then took two years to process that data and make it usable (and it is still being refined to this day). This data is freely available to anyone, and the number of possible applications is almost infinite. It's been used in GIS, cartography, environmental planning, weather modeling (weather patterns are enormously influenced by the topography), flight simulators, Google Earth, and the list goes on. In this short article, I would like to give you a quick tour of the <a href="http://integrity-logic.com/Blog/?p=30">kinds of things this data can reveal</a>. My hope is to get you thinking about what else could be done with this incredible resource."</i></htmltext>
<tokenext>MaxTardiveau writes with an excerpt from an article where the pictures are worth clicking through for : " Ten years ago , in February 2000 , NASA mapped the entire world in eleven days .
It 's true : the mission was called the Shuttle Radar Topography Mission ( SRTM ) , and over the course of eleven days , it used a big radar attached to the space shuttle to get elevation data from the vast majority of solid Earth ; practically all land between 60 degrees North and 56 degrees South was included , with a resolution of 30 meters ( 90 feet ) .
Over 9 terabytes of data were captured .
It then took two years to process that data and make it usable ( and it is still being refined to this day ) .
This data is freely available to anyone , and the number of possible applications is almost infinite .
It 's been used in GIS , cartography , environmental planning , weather modeling ( weather patterns are enormously influenced by the topography ) , flight simulators , Google Earth , and the list goes on .
In this short article , I would like to give you a quick tour of the kinds of things this data can reveal .
My hope is to get you thinking about what else could be done with this incredible resource .
"</tokentext>
<sentencetext>MaxTardiveau writes with an excerpt from an article where the pictures are worth clicking through for: "Ten years ago, in February 2000, NASA mapped the entire world in eleven days.
It's true: the mission was called the Shuttle Radar Topography Mission (SRTM), and over the course of eleven days, it used a big radar attached to the space shuttle to get elevation data from the vast majority of solid Earth; practically all land between 60 degrees North and 56 degrees South was included, with a resolution of 30 meters (90 feet).
Over 9 terabytes of data were captured.
It then took two years to process that data and make it usable (and it is still being refined to this day).
This data is freely available to anyone, and the number of possible applications is almost infinite.
It's been used in GIS, cartography, environmental planning, weather modeling (weather patterns are enormously influenced by the topography), flight simulators, Google Earth, and the list goes on.
In this short article, I would like to give you a quick tour of the kinds of things this data can reveal.
My hope is to get you thinking about what else could be done with this incredible resource.
"</sentencetext>
</article>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633788</id>
	<title>Osama?</title>
	<author>Anonymous</author>
	<datestamp>1262509680000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p>Finally, we might actually be able to find Osama Bin Laden.</p></htmltext>
<tokenext>Finally , we might actually be able to find Osama Bin Laden .</tokentext>
<sentencetext>Finally, we might actually be able to find Osama Bin Laden.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30635042</id>
	<title>Re:OpenStreetMap.org</title>
	<author>MartinSchou</author>
	<datestamp>1262519220000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>If it's accurate to 30 meters, that could easily result in very impossible to navigate slopes for bicycles. I know plenty of small roads around here, that have inclines of 25 meters in less than 100 meters, and that is pretty close to impossible to drive up (they're gravel roads, and I can make wheel spin, going backwards in a high gear).</p></htmltext>
<tokenext>If it 's accurate to 30 meters , that could easily result in very impossible to navigate slopes for bicycles .
I know plenty of small roads around here , that have inclines of 25 meters in less than 100 meters , and that is pretty close to impossible to drive up ( they 're gravel roads , and I can make wheel spin , going backwards in a high gear ) .</tokentext>
<sentencetext>If it's accurate to 30 meters, that could easily result in very impossible to navigate slopes for bicycles.
I know plenty of small roads around here, that have inclines of 25 meters in less than 100 meters, and that is pretty close to impossible to drive up (they're gravel roads, and I can make wheel spin, going backwards in a high gear).</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633962</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30643516</id>
	<title>Re:Meters are not yards</title>
	<author>Anonymous</author>
	<datestamp>1262631960000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><blockquote><div><p>I suspect that, given that this was a US mission, the resolution was originally stated by NASA as approximately 100 feet.</p></div></blockquote><p>NASA does just about everything in metric units.  The only place they don't is press releases.</p></div>
	</htmltext>
<tokenext>I suspect that , given that this was a US mission , the resolution was originally stated by NASA as approximately 100 feet.NASA does just about everything in metric units .
The only place they do n't is press releases .</tokentext>
<sentencetext>I suspect that, given that this was a US mission, the resolution was originally stated by NASA as approximately 100 feet.NASA does just about everything in metric units.
The only place they don't is press releases.
	</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636514</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634318</id>
	<title>Re:Canada and USSR way ahead in this area.</title>
	<author>Anonymous</author>
	<datestamp>1262513940000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p>"RADARSAT is a commercial service."</p><p>And that's a difference that matters a lot.  While I'm pleased with Canadian innovation in this area (I'm in Canada), I'm a bit irked that if I want to get half-decent topography data (i.e. better than redigitized from contour maps at 1:250000 map scale, which is fricking huge) in large areas north of 60 degrees in my own country (see <a href="http://www.geobase.ca/geobase/en/browse.do?produit=cded&amp;decoupage=50k&amp;map=canada" title="geobase.ca" rel="nofollow">white areas on map</a> [geobase.ca]), I'm pretty much out of luck unless I want to spend thousands of dollars for regional coverage.</p><p>If it is any consolation, Canada is slowly but surely publicly releasing better data in those northern regions, but considering how much government money was invested in RADARSAT, I think it should already be available.  Until that is complete I'll take the free 30m data from the USGS/NASA, which also covers most of the rest of the world.</p><p>You are, of course, right that it doesn't take the overhead of people in space to do this sort of thing, but the relative attention given to the SRTM data versus other global topographic datasets boils down to one thing: it's free (or, more precisely, already paid for).  Thanks, USA.  It's a global contribution you can be proud of.</p></htmltext>
<tokenext>" RADARSAT is a commercial service .
" And that 's a difference that matters a lot .
While I 'm pleased with Canadian innovation in this area ( I 'm in Canada ) , I 'm a bit irked that if I want to get half-decent topography data ( i.e .
better than redigitized from contour maps at 1 : 250000 map scale , which is fricking huge ) in large areas north of 60 degrees in my own country ( see white areas on map [ geobase.ca ] ) , I 'm pretty much out of luck unless I want to spend thousands of dollars for regional coverage.If it is any consolation , Canada is slowly but surely publicly releasing better data in those northern regions , but considering how much government money was invested in RADARSAT , I think it should already be available .
Until that is complete I 'll take the free 30m data from the USGS/NASA , which also covers most of the rest of the world.You are , of course , right that it does n't take the overhead of people in space to do this sort of thing , but the relative attention given to the SRTM data versus other global topographic datasets boils down to one thing : it 's free ( or , more precisely , already paid for ) .
Thanks , USA .
It 's a global contribution you can be proud of .</tokentext>
<sentencetext>"RADARSAT is a commercial service.
"And that's a difference that matters a lot.
While I'm pleased with Canadian innovation in this area (I'm in Canada), I'm a bit irked that if I want to get half-decent topography data (i.e.
better than redigitized from contour maps at 1:250000 map scale, which is fricking huge) in large areas north of 60 degrees in my own country (see white areas on map [geobase.ca]), I'm pretty much out of luck unless I want to spend thousands of dollars for regional coverage.If it is any consolation, Canada is slowly but surely publicly releasing better data in those northern regions, but considering how much government money was invested in RADARSAT, I think it should already be available.
Until that is complete I'll take the free 30m data from the USGS/NASA, which also covers most of the rest of the world.You are, of course, right that it doesn't take the overhead of people in space to do this sort of thing, but the relative attention given to the SRTM data versus other global topographic datasets boils down to one thing: it's free (or, more precisely, already paid for).
Thanks, USA.
It's a global contribution you can be proud of.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633890</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30637858</id>
	<title>Mars DEMs are available too</title>
	<author>Vahokif</author>
	<datestamp>1262544780000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>You can find the MOLA MEGDR DEM on FTP <a href="http://pds-geosciences.wustl.edu/missions/mgs/megdr.html" title="wustl.edu">here</a> [wustl.edu], or browse the datasets <a href="http://ode.rsl.wustl.edu/mars/indexProductSearch.aspx" title="wustl.edu">here</a> [wustl.edu].</htmltext>
<tokenext>You can find the MOLA MEGDR DEM on FTP here [ wustl.edu ] , or browse the datasets here [ wustl.edu ] .</tokentext>
<sentencetext>You can find the MOLA MEGDR DEM on FTP here [wustl.edu], or browse the datasets here [wustl.edu].</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30635182</id>
	<title>MATLAB Library</title>
	<author>highways</author>
	<datestamp>1262520120000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>If you have access to MATLAB, give the following project a shot:</p><p><a href="http://sourceforge.net/projects/srtm-matlab/" title="sourceforge.net" rel="nofollow">http://sourceforge.net/projects/srtm-matlab/</a> [sourceforge.net]</p><p>Unfortunately, it only supports the worldwide 90m dataset, not the 30m dataset exclusive to the USA.</p><p>No idea if it works in Octave or not.</p></htmltext>
<tokenext>If you have access to MATLAB , give the following project a shot : http : //sourceforge.net/projects/srtm-matlab/ [ sourceforge.net ] Unfortunately , it only supports the worldwide 90m dataset , not the 30m dataset exclusive to the USA.No idea if it works in Octave or not .</tokentext>
<sentencetext>If you have access to MATLAB, give the following project a shot:http://sourceforge.net/projects/srtm-matlab/ [sourceforge.net]Unfortunately, it only supports the worldwide 90m dataset, not the 30m dataset exclusive to the USA.No idea if it works in Octave or not.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633918</id>
	<title>Best GIS software ?</title>
	<author>parens</author>
	<datestamp>1262511000000</datestamp>
	<modclass>Interestin</modclass>
	<modscore>2</modscore>
	<htmltext>I've been trying to play with GIS data for a few months now, and always seem to get hung up on what to do with said data once I've downloaded it.  I've attempted to find some open-source visualization software, and had some limited success with SAGA GIS<nobr> <wbr></nobr>... but the interface is pretty clunky, and the documentation is either outdated or for previous versions.

Anyone have any suggestions for visualization of terrain data ?  Frankly, whatever was used in the article would be useful, but I didn't see the author specify what software he was using.</htmltext>
<tokenext>I 've been trying to play with GIS data for a few months now , and always seem to get hung up on what to do with said data once I 've downloaded it .
I 've attempted to find some open-source visualization software , and had some limited success with SAGA GIS ... but the interface is pretty clunky , and the documentation is either outdated or for previous versions .
Anyone have any suggestions for visualization of terrain data ?
Frankly , whatever was used in the article would be useful , but I did n't see the author specify what software he was using .</tokentext>
<sentencetext>I've been trying to play with GIS data for a few months now, and always seem to get hung up on what to do with said data once I've downloaded it.
I've attempted to find some open-source visualization software, and had some limited success with SAGA GIS ... but the interface is pretty clunky, and the documentation is either outdated or for previous versions.
Anyone have any suggestions for visualization of terrain data ?
Frankly, whatever was used in the article would be useful, but I didn't see the author specify what software he was using.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633794</id>
	<title>Re:Games</title>
	<author>IdleTime</author>
	<datestamp>1262509740000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>I was going to look at the data for the city were I was born but it's north of 60 degrees so I'm shit out of luck.</htmltext>
<tokenext>I was going to look at the data for the city were I was born but it 's north of 60 degrees so I 'm shit out of luck .</tokentext>
<sentencetext>I was going to look at the data for the city were I was born but it's north of 60 degrees so I'm shit out of luck.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633568</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636376</id>
	<title>Re:Don't you love weasel language</title>
	<author>Alotau</author>
	<datestamp>1262528580000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p><div class="quote"><p>Carnival Rube: Hey honey, let's see how good this guy is. What'd I win?
<br>
<br>
Navin: Uh, anything in this general area right in here. Anything below the stereo and on this side of the bicentennial glasses. Anything between the ashtrays and the thimble. Anything in this three inches right in here in this area. That includes the Chiclets, but not the erasers.</p></div></div>
	</htmltext>
<tokenext>Carnival Rube : Hey honey , let 's see how good this guy is .
What 'd I win ?
Navin : Uh , anything in this general area right in here .
Anything below the stereo and on this side of the bicentennial glasses .
Anything between the ashtrays and the thimble .
Anything in this three inches right in here in this area .
That includes the Chiclets , but not the erasers .</tokentext>
<sentencetext>Carnival Rube: Hey honey, let's see how good this guy is.
What'd I win?
Navin: Uh, anything in this general area right in here.
Anything below the stereo and on this side of the bicentennial glasses.
Anything between the ashtrays and the thimble.
Anything in this three inches right in here in this area.
That includes the Chiclets, but not the erasers.
	</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633786</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636506</id>
	<title>Available in GeoTIFF via FTP</title>
	<author>phyr</author>
	<datestamp>1262529960000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>SRTM 3sec DEM is also available via anon FTP in GeoTIFF format from <a href="http://srtm.csi.cgiar.org/" title="cgiar.org" rel="nofollow">http://srtm.csi.cgiar.org/</a> [cgiar.org]</htmltext>
<tokenext>SRTM 3sec DEM is also available via anon FTP in GeoTIFF format from http : //srtm.csi.cgiar.org/ [ cgiar.org ]</tokentext>
<sentencetext>SRTM 3sec DEM is also available via anon FTP in GeoTIFF format from http://srtm.csi.cgiar.org/ [cgiar.org]</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30635970</id>
	<title>Re:Best GIS software ?</title>
	<author>Huntr</author>
	<datestamp>1262525700000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>If you're just wanting to play around with similar data, you might have luck with national elevation data (NED) in 10m or 30m grids.  You can then display and explore these in ESRI's free ArcReader.  It's limited though.  Just useful for displaying and simple map making, basically.</htmltext>
<tokenext>If you 're just wanting to play around with similar data , you might have luck with national elevation data ( NED ) in 10m or 30m grids .
You can then display and explore these in ESRI 's free ArcReader .
It 's limited though .
Just useful for displaying and simple map making , basically .</tokentext>
<sentencetext>If you're just wanting to play around with similar data, you might have luck with national elevation data (NED) in 10m or 30m grids.
You can then display and explore these in ESRI's free ArcReader.
It's limited though.
Just useful for displaying and simple map making, basically.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633918</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633624</id>
	<title>Vast majority...</title>
	<author>cnettel</author>
	<datestamp>1262551140000</datestamp>
	<modclass>Funny</modclass>
	<modscore>2</modscore>
	<htmltext>I live at 60 deg North, you insensitive clod! (Ok, right now it is 59 deg 51' 7"...) I don't want to learn that I'll fall off a cliff if I take a step in the wrong direction...</htmltext>
<tokenext>I live at 60 deg North , you insensitive clod !
( Ok , right now it is 59 deg 51 ' 7 " ... ) I do n't want to learn that I 'll fall off a cliff if I take a step in the wrong direction.. .</tokentext>
<sentencetext>I live at 60 deg North, you insensitive clod!
(Ok, right now it is 59 deg 51' 7"...) I don't want to learn that I'll fall off a cliff if I take a step in the wrong direction...</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633944</id>
	<title>I was an early user.</title>
	<author>RNLockwood</author>
	<datestamp>1262511180000</datestamp>
	<modclass>Interestin</modclass>
	<modscore>2</modscore>
	<htmltext><p>I got access to the data through my NASA contacts early on and download quite a bit for some western states.  We used/and still use the GPS position and altitude of our aircraft to extract elevation from SRTM and then compute the height over ground for our remote sensing data to aid in geo-rectification of our images of wildfires.</p></htmltext>
<tokenext>I got access to the data through my NASA contacts early on and download quite a bit for some western states .
We used/and still use the GPS position and altitude of our aircraft to extract elevation from SRTM and then compute the height over ground for our remote sensing data to aid in geo-rectification of our images of wildfires .</tokentext>
<sentencetext>I got access to the data through my NASA contacts early on and download quite a bit for some western states.
We used/and still use the GPS position and altitude of our aircraft to extract elevation from SRTM and then compute the height over ground for our remote sensing data to aid in geo-rectification of our images of wildfires.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30635474</id>
	<title>Re:Games</title>
	<author>Anonymous</author>
	<datestamp>1262521920000</datestamp>
	<modclass>Insightful</modclass>
	<modscore>1</modscore>
	<htmltext><p>just over 9000!!</p></htmltext>
<tokenext>just over 9000 !
!</tokentext>
<sentencetext>just over 9000!
!</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634198</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633920</id>
	<title>Re:30-meter data</title>
	<author>toastar</author>
	<datestamp>1262511000000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>I think Aster is 15m world wide.

<a href="http://www.gisdevelopment.net/technology/tm/tm001.htm" title="gisdevelopment.net" rel="nofollow">http://www.gisdevelopment.net/technology/tm/tm001.htm</a> [gisdevelopment.net]</htmltext>
<tokenext>I think Aster is 15m world wide .
http : //www.gisdevelopment.net/technology/tm/tm001.htm [ gisdevelopment.net ]</tokentext>
<sentencetext>I think Aster is 15m world wide.
http://www.gisdevelopment.net/technology/tm/tm001.htm [gisdevelopment.net]</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633682</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634788</id>
	<title>Re:Best GIS software ?</title>
	<author>MaxTardiveau</author>
	<datestamp>1262517480000</datestamp>
	<modclass>Informativ</modclass>
	<modscore>3</modscore>
	<htmltext>Take a look at Quantum GIS (http://www.qgis.org/), it's really good. It reads raw SRTM data directly, along with a huge list of other formats, raster and vector. It's free and it does a superb job. It's not ESRI, but it's excellent.</htmltext>
<tokenext>Take a look at Quantum GIS ( http : //www.qgis.org/ ) , it 's really good .
It reads raw SRTM data directly , along with a huge list of other formats , raster and vector .
It 's free and it does a superb job .
It 's not ESRI , but it 's excellent .</tokentext>
<sentencetext>Take a look at Quantum GIS (http://www.qgis.org/), it's really good.
It reads raw SRTM data directly, along with a huge list of other formats, raster and vector.
It's free and it does a superb job.
It's not ESRI, but it's excellent.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633918</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634570</id>
	<title>I've used SRTM data for radio coverage profiling</title>
	<author>molo</author>
	<datestamp>1262516100000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>Big thanks to NASA for this data, I've used it with the <a href="http://www.qsl.net/kd2bd/splat.html" title="qsl.net">Splat! tool</a> [qsl.net] for radio path profiling to generate maps and estimate height above average terrain (HAAT).  I've been using these maps to show what the approximate footprint is for amateur radio repeaters.  See <a href="http://img31.imageshack.us/img31/6298/tx1map.png" title="imageshack.us">this example</a> [imageshack.us] for a 90W 440Mhz repeater on top of the Empire State Building.</p><p>-molo</p></htmltext>
<tokenext>Big thanks to NASA for this data , I 've used it with the Splat !
tool [ qsl.net ] for radio path profiling to generate maps and estimate height above average terrain ( HAAT ) .
I 've been using these maps to show what the approximate footprint is for amateur radio repeaters .
See this example [ imageshack.us ] for a 90W 440Mhz repeater on top of the Empire State Building.-molo</tokentext>
<sentencetext>Big thanks to NASA for this data, I've used it with the Splat!
tool [qsl.net] for radio path profiling to generate maps and estimate height above average terrain (HAAT).
I've been using these maps to show what the approximate footprint is for amateur radio repeaters.
See this example [imageshack.us] for a 90W 440Mhz repeater on top of the Empire State Building.-molo</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633786</id>
	<title>Don't you love weasel language</title>
	<author>Anonymous</author>
	<datestamp>1262509680000</datestamp>
	<modclass>Insightful</modclass>
	<modscore>3</modscore>
	<htmltext><p>1. mapped the entire world in eleven days.
</p><p>2. vast majority of solid Earth
</p><p>3. practically all land between 60 degrees North and 56 degrees South was included, with a resolution of 30 meters (90 feet).
</p><p>Mmm, within ONE paragraph the writer sure lowers his tune. ALL the earth vs a part of it and then that part of it that is land and not sea? Anyone remember why it is called the Blue Planet at times? Because the majority of the surface is water?
</p><p>Interesting news of course, but come on, can we at least on a tech site skip the hyperbole.</p></htmltext>
<tokenext>1. mapped the entire world in eleven days .
2. vast majority of solid Earth 3. practically all land between 60 degrees North and 56 degrees South was included , with a resolution of 30 meters ( 90 feet ) .
Mmm , within ONE paragraph the writer sure lowers his tune .
ALL the earth vs a part of it and then that part of it that is land and not sea ?
Anyone remember why it is called the Blue Planet at times ?
Because the majority of the surface is water ?
Interesting news of course , but come on , can we at least on a tech site skip the hyperbole .</tokentext>
<sentencetext>1. mapped the entire world in eleven days.
2. vast majority of solid Earth
3. practically all land between 60 degrees North and 56 degrees South was included, with a resolution of 30 meters (90 feet).
Mmm, within ONE paragraph the writer sure lowers his tune.
ALL the earth vs a part of it and then that part of it that is land and not sea?
Anyone remember why it is called the Blue Planet at times?
Because the majority of the surface is water?
Interesting news of course, but come on, can we at least on a tech site skip the hyperbole.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636584</id>
	<title>Re:Osama?</title>
	<author>MobileTatsu-NJG</author>
	<datestamp>1262530500000</datestamp>
	<modclass>Funny</modclass>
	<modscore>2</modscore>
	<htmltext><p><div class="quote"><p>Finally, we might actually be able to find Osama Bin Laden.</p></div><p>Oh, please.  With a resolution of 30 meters, the only person we're gonna find is yo mama!</p></div>
	</htmltext>
<tokenext>Finally , we might actually be able to find Osama Bin Laden.Oh , please .
With a resolution of 30 meters , the only person we 're gon na find is yo mama !</tokentext>
<sentencetext>Finally, we might actually be able to find Osama Bin Laden.Oh, please.
With a resolution of 30 meters, the only person we're gonna find is yo mama!
	</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633788</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634016</id>
	<title>faggot wikipedia nigitors</title>
	<author>Anonymous</author>
	<datestamp>1262511720000</datestamp>
	<modclass>Flamebait</modclass>
	<modscore>-1</modscore>
	<htmltext>weasel language? dont use words like that, you sand like a faggot wikipedia editor</htmltext>
<tokenext>weasel language ?
dont use words like that , you sand like a faggot wikipedia editor</tokentext>
<sentencetext>weasel language?
dont use words like that, you sand like a faggot wikipedia editor</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633786</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633962</id>
	<title>OpenStreetMap.org</title>
	<author>Baloo Uriza</author>
	<datestamp>1262511240000</datestamp>
	<modclass>Informativ</modclass>
	<modscore>4</modscore>
	<htmltext>OpenStreetMap uses this data to give the elevation contour lines on the cycle map rendering.  Eventually, it'll be used to guide cyclists on a flatter, faster (but possibly slightly longer) route to avoid the steep stuff.</htmltext>
<tokenext>OpenStreetMap uses this data to give the elevation contour lines on the cycle map rendering .
Eventually , it 'll be used to guide cyclists on a flatter , faster ( but possibly slightly longer ) route to avoid the steep stuff .</tokentext>
<sentencetext>OpenStreetMap uses this data to give the elevation contour lines on the cycle map rendering.
Eventually, it'll be used to guide cyclists on a flatter, faster (but possibly slightly longer) route to avoid the steep stuff.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633792</id>
	<title>Atlantis</title>
	<author>Ceriel Nosforit</author>
	<datestamp>1262509740000</datestamp>
	<modclass>Interestin</modclass>
	<modscore>1</modscore>
	<htmltext><p>I want to know if Plato was just BSing us. Perhaps other lost civilizations could be found?<br>Perhaps 30 meters isn't enough?</p></htmltext>
<tokenext>I want to know if Plato was just BSing us .
Perhaps other lost civilizations could be found ? Perhaps 30 meters is n't enough ?</tokentext>
<sentencetext>I want to know if Plato was just BSing us.
Perhaps other lost civilizations could be found?Perhaps 30 meters isn't enough?</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633674</id>
	<title>Raw data</title>
	<author>Anonymous</author>
	<datestamp>1262551560000</datestamp>
	<modclass>Informativ</modclass>
	<modscore>5</modscore>
	<htmltext>The raw data, as well as data from multiple other sources can be downloaded from NASA's Earth Explorer <a href="http://edcsns17.cr.usgs.gov/EarthExplorer/" title="usgs.gov" rel="nofollow">http://edcsns17.cr.usgs.gov/EarthExplorer/</a> [usgs.gov]. The article doesn't really address the fact that the Google data has been cleaned up a lot. SRTM has a lot of voids and areas of poor quality, especially over mountains. The resolution of the data is worse for anywhere outside of the USA.</htmltext>
<tokenext>The raw data , as well as data from multiple other sources can be downloaded from NASA 's Earth Explorer http : //edcsns17.cr.usgs.gov/EarthExplorer/ [ usgs.gov ] .
The article does n't really address the fact that the Google data has been cleaned up a lot .
SRTM has a lot of voids and areas of poor quality , especially over mountains .
The resolution of the data is worse for anywhere outside of the USA .</tokentext>
<sentencetext>The raw data, as well as data from multiple other sources can be downloaded from NASA's Earth Explorer http://edcsns17.cr.usgs.gov/EarthExplorer/ [usgs.gov].
The article doesn't really address the fact that the Google data has been cleaned up a lot.
SRTM has a lot of voids and areas of poor quality, especially over mountains.
The resolution of the data is worse for anywhere outside of the USA.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30639872</id>
	<title>Re:Meters are not yards</title>
	<author>theCoder</author>
	<datestamp>1262615520000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>30 meter resolution is itself an approximation.  SRTM data is usually formatted in a geographic grid with a post spacing of 1 arc second.  Because of the curvature of the Earth, the post spacing in meters varies from cell to cell (SRTM, like DTED, is usually distributed in files containing 1 degree by 1 degree of data).  For example, the cell with Mt. Rainier in it (w122/n46) has a vertical (north-south) post spacing of 30.98 meters and a horizontal (east-west) post spacing of 21.52 meters.  The horizontal post spacing is smaller because the cell is so far north of the equator.</p></htmltext>
<tokenext>30 meter resolution is itself an approximation .
SRTM data is usually formatted in a geographic grid with a post spacing of 1 arc second .
Because of the curvature of the Earth , the post spacing in meters varies from cell to cell ( SRTM , like DTED , is usually distributed in files containing 1 degree by 1 degree of data ) .
For example , the cell with Mt .
Rainier in it ( w122/n46 ) has a vertical ( north-south ) post spacing of 30.98 meters and a horizontal ( east-west ) post spacing of 21.52 meters .
The horizontal post spacing is smaller because the cell is so far north of the equator .</tokentext>
<sentencetext>30 meter resolution is itself an approximation.
SRTM data is usually formatted in a geographic grid with a post spacing of 1 arc second.
Because of the curvature of the Earth, the post spacing in meters varies from cell to cell (SRTM, like DTED, is usually distributed in files containing 1 degree by 1 degree of data).
For example, the cell with Mt.
Rainier in it (w122/n46) has a vertical (north-south) post spacing of 30.98 meters and a horizontal (east-west) post spacing of 21.52 meters.
The horizontal post spacing is smaller because the cell is so far north of the equator.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633834</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30638182</id>
	<title>Re:Best GIS software ?</title>
	<author>Anonymous</author>
	<datestamp>1262635620000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p>try GRASS GIS-<br>
&nbsp; <a href="http://grass.osgeo.org/" title="osgeo.org" rel="nofollow">http://grass.osgeo.org/</a> [osgeo.org]</p><p>SRTM visualization tutorial here-<br>
&nbsp; <a href="http://grass.osgeo.org/newsletter/GRASSNews\_vol3.pdf" title="osgeo.org" rel="nofollow">http://grass.osgeo.org/newsletter/GRASSNews\_vol3.pdf</a> [osgeo.org]</p></htmltext>
<tokenext>try GRASS GIS-   http : //grass.osgeo.org/ [ osgeo.org ] SRTM visualization tutorial here-   http : //grass.osgeo.org/newsletter/GRASSNews \ _vol3.pdf [ osgeo.org ]</tokentext>
<sentencetext>try GRASS GIS-
  http://grass.osgeo.org/ [osgeo.org]SRTM visualization tutorial here-
  http://grass.osgeo.org/newsletter/GRASSNews\_vol3.pdf [osgeo.org]</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633918</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633880</id>
	<title>Re:Raw data</title>
	<author>Anonymous</author>
	<datestamp>1262510580000</datestamp>
	<modclass>Informativ</modclass>
	<modscore>4</modscore>
	<htmltext><p>A lot of it has been suprseded by the meaurements by the Japanese Aster instrument:<br>"Previously, the most complete topographic set of data publicly available was from NASA's Shuttle Radar Topography Mission. That mission mapped 80 percent of Earth's landmass, between 60 degrees north latitude and 57 degrees south. The new Aster data expand coverage to 99 percent, from 83 degrees north latitude and 83 degrees south. Each elevation measurement point in the new data is 30 meters (98 feet) apart. "<br>http://www.nasa.gov/topics/earth/features/aster-20090629.html</p></htmltext>
<tokenext>A lot of it has been suprseded by the meaurements by the Japanese Aster instrument : " Previously , the most complete topographic set of data publicly available was from NASA 's Shuttle Radar Topography Mission .
That mission mapped 80 percent of Earth 's landmass , between 60 degrees north latitude and 57 degrees south .
The new Aster data expand coverage to 99 percent , from 83 degrees north latitude and 83 degrees south .
Each elevation measurement point in the new data is 30 meters ( 98 feet ) apart .
" http : //www.nasa.gov/topics/earth/features/aster-20090629.html</tokentext>
<sentencetext>A lot of it has been suprseded by the meaurements by the Japanese Aster instrument:"Previously, the most complete topographic set of data publicly available was from NASA's Shuttle Radar Topography Mission.
That mission mapped 80 percent of Earth's landmass, between 60 degrees north latitude and 57 degrees south.
The new Aster data expand coverage to 99 percent, from 83 degrees north latitude and 83 degrees south.
Each elevation measurement point in the new data is 30 meters (98 feet) apart.
"http://www.nasa.gov/topics/earth/features/aster-20090629.html</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633674</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634998</id>
	<title>Re:Best GIS software ?</title>
	<author>macvorlon</author>
	<datestamp>1262518920000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>check out virtual terrain project

<a href="http://www.vterrain.org/" title="vterrain.org" rel="nofollow">http://www.vterrain.org/</a> [vterrain.org]

or for GIS alternatives to SAGA, OSGeo foundation:

<a href="http://www.osgeo.org/" title="osgeo.org" rel="nofollow">http://www.osgeo.org/</a> [osgeo.org]

GRASS / QGIS worth checking out</htmltext>
<tokenext>check out virtual terrain project http : //www.vterrain.org/ [ vterrain.org ] or for GIS alternatives to SAGA , OSGeo foundation : http : //www.osgeo.org/ [ osgeo.org ] GRASS / QGIS worth checking out</tokentext>
<sentencetext>check out virtual terrain project

http://www.vterrain.org/ [vterrain.org]

or for GIS alternatives to SAGA, OSGeo foundation:

http://www.osgeo.org/ [osgeo.org]

GRASS / QGIS worth checking out</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633918</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30637086</id>
	<title>Re:Don't you love weasel language</title>
	<author>MaxTardiveau</author>
	<datestamp>1262535660000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>Well, as other posters have pointed out, there is little value in mapping the surface of the oceans (at least with this technology).
<p>
If you think that land north of 60N and south of 56S represents a major portion of the earth, you need to stop using Mercator projection maps. and graduate to something like the <a href="http://en.wikipedia.org/wiki/Gall-Peters\_projection" title="wikipedia.org" rel="nofollow">Gall-Peters projection</a> [wikipedia.org].
</p><p>
Having said that, it's absolutely true that the SRTM data set does not cover Iceland, most of Norway and Sweden, northern Russia, etc... It's not that NASA doesn't like Nordic people, it's just a limitation due to the space shuttle's orbit.</p></htmltext>
<tokenext>Well , as other posters have pointed out , there is little value in mapping the surface of the oceans ( at least with this technology ) .
If you think that land north of 60N and south of 56S represents a major portion of the earth , you need to stop using Mercator projection maps .
and graduate to something like the Gall-Peters projection [ wikipedia.org ] .
Having said that , it 's absolutely true that the SRTM data set does not cover Iceland , most of Norway and Sweden , northern Russia , etc... It 's not that NASA does n't like Nordic people , it 's just a limitation due to the space shuttle 's orbit .</tokentext>
<sentencetext>Well, as other posters have pointed out, there is little value in mapping the surface of the oceans (at least with this technology).
If you think that land north of 60N and south of 56S represents a major portion of the earth, you need to stop using Mercator projection maps.
and graduate to something like the Gall-Peters projection [wikipedia.org].
Having said that, it's absolutely true that the SRTM data set does not cover Iceland, most of Norway and Sweden, northern Russia, etc... It's not that NASA doesn't like Nordic people, it's just a limitation due to the space shuttle's orbit.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633786</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633682</id>
	<title>30-meter data</title>
	<author>Anonymous</author>
	<datestamp>1262551620000</datestamp>
	<modclass>Informativ</modclass>
	<modscore>3</modscore>
	<htmltext><p>According to Wikipedia, the 30-meter data is only available for the United States. The rest of the world will have to do with 90-meter data.</p></htmltext>
<tokenext>According to Wikipedia , the 30-meter data is only available for the United States .
The rest of the world will have to do with 90-meter data .</tokentext>
<sentencetext>According to Wikipedia, the 30-meter data is only available for the United States.
The rest of the world will have to do with 90-meter data.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634198</id>
	<title>Re:Games</title>
	<author>melikamp</author>
	<datestamp>1262513100000</datestamp>
	<modclass>Funny</modclass>
	<modscore>2</modscore>
	<htmltext>How much is "almost infinite"?</htmltext>
<tokenext>How much is " almost infinite " ?</tokentext>
<sentencetext>How much is "almost infinite"?</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633568</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633938</id>
	<title>Data is trash</title>
	<author>Anonymous</author>
	<datestamp>1262511120000</datestamp>
	<modclass>Interestin</modclass>
	<modscore>1</modscore>
	<htmltext>The 30m SRTM data is trash, the mission totally fucked up collecting the data. We've been trying to use it for years. It isn't still being 'refined', it's being gap filled with various interpolation algorithms and other data sets. The best NASA DEM is the one <a href="http://asterweb.jpl.nasa.gov/content/03\_data/01\_Data\_Products/release\_DEM\_relative.htm" title="nasa.gov" rel="nofollow">from the ASTER instruments</a> [nasa.gov]. Not only is it also 30m horizontal resolution, but it goes up to 82 degrees north and south.</htmltext>
<tokenext>The 30m SRTM data is trash , the mission totally fucked up collecting the data .
We 've been trying to use it for years .
It is n't still being 'refined ' , it 's being gap filled with various interpolation algorithms and other data sets .
The best NASA DEM is the one from the ASTER instruments [ nasa.gov ] .
Not only is it also 30m horizontal resolution , but it goes up to 82 degrees north and south .</tokentext>
<sentencetext>The 30m SRTM data is trash, the mission totally fucked up collecting the data.
We've been trying to use it for years.
It isn't still being 'refined', it's being gap filled with various interpolation algorithms and other data sets.
The best NASA DEM is the one from the ASTER instruments [nasa.gov].
Not only is it also 30m horizontal resolution, but it goes up to 82 degrees north and south.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634126</id>
	<title>Re:Canada and USSR way ahead in this area.</title>
	<author>Anonymous</author>
	<datestamp>1262512440000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p><div class="quote"><p>It doesn't take all the NASA overhead of putting people in space to do this. The private sector is doing it just fine.</p></div><p>By standing on the shoulders of NASA and other government programs that took us there in the first place.</p></div>
	</htmltext>
<tokenext>It does n't take all the NASA overhead of putting people in space to do this .
The private sector is doing it just fine.By standing on the shoulders of NASA and other government programs that took us there in the first place .</tokentext>
<sentencetext>It doesn't take all the NASA overhead of putting people in space to do this.
The private sector is doing it just fine.By standing on the shoulders of NASA and other government programs that took us there in the first place.
	</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633890</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636516</id>
	<title>Re:Don't you love weasel language</title>
	<author>Anonymous</author>
	<datestamp>1262530020000</datestamp>
	<modclass>None</modclass>
	<modscore>-1</modscore>
	<htmltext><p>Dumb article. The person obviously has no concept of natural resource management or geography. Waste of a link. "Hey let's use dumps as seawalls!" Yeah ok this is one of the 'cool' things you can do with this data? That will get someone excited? You're a moron. How about the hugely critical things like mapping habitat for endangered species such as lekking areas for Sage Grouse, or endangered plants, or avalanche areas, or diseases, or one of a MILLION things not to do with video games or totally naive crap from people who spend far too much time in office buildings and not enough time asking the legitimate questions about our world.</p></htmltext>
<tokenext>Dumb article .
The person obviously has no concept of natural resource management or geography .
Waste of a link .
" Hey let 's use dumps as seawalls !
" Yeah ok this is one of the 'cool ' things you can do with this data ?
That will get someone excited ?
You 're a moron .
How about the hugely critical things like mapping habitat for endangered species such as lekking areas for Sage Grouse , or endangered plants , or avalanche areas , or diseases , or one of a MILLION things not to do with video games or totally naive crap from people who spend far too much time in office buildings and not enough time asking the legitimate questions about our world .</tokentext>
<sentencetext>Dumb article.
The person obviously has no concept of natural resource management or geography.
Waste of a link.
"Hey let's use dumps as seawalls!
" Yeah ok this is one of the 'cool' things you can do with this data?
That will get someone excited?
You're a moron.
How about the hugely critical things like mapping habitat for endangered species such as lekking areas for Sage Grouse, or endangered plants, or avalanche areas, or diseases, or one of a MILLION things not to do with video games or totally naive crap from people who spend far too much time in office buildings and not enough time asking the legitimate questions about our world.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633786</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633634</id>
	<title>Oh Wow!</title>
	<author>Anonymous</author>
	<datestamp>1262551260000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p>It's every programmer's wank-fodder... a solution in search of a problem!</p></htmltext>
<tokenext>It 's every programmer 's wank-fodder... a solution in search of a problem !</tokentext>
<sentencetext>It's every programmer's wank-fodder... a solution in search of a problem!</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633638</id>
	<title>How different?</title>
	<author>Anonymous</author>
	<datestamp>1262551260000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p>How is this different than the other elevation datasets which are already available?  It doesn't seem to be higher resolution, nor more complete coverage.</p></htmltext>
<tokenext>How is this different than the other elevation datasets which are already available ?
It does n't seem to be higher resolution , nor more complete coverage .</tokentext>
<sentencetext>How is this different than the other elevation datasets which are already available?
It doesn't seem to be higher resolution, nor more complete coverage.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30635038</id>
	<title>Quantum GIS, gvSIG, some more</title>
	<author>Anonymous</author>
	<datestamp>1262519160000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>Quantum GIS might be intereting to you: qgis.org and so may gvSIG. If you need raw power, look at GRASS GIS (the interface isn't up to par if you ask me and you can access many GRASS features directly from QGIS). (if you need a spatial database, there's nothing better than PostGIS)</p><p>The OSGeo.org (the open source geospatial foundation) is a great resource in that regards. Depending on your needs (geospatial is vast, see my sig), you may "need" ArcGIS from ESRI - it's commercial, it's expensive and it crashes regularly, but it does things no other GIS can easily do.</p></htmltext>
<tokenext>Quantum GIS might be intereting to you : qgis.org and so may gvSIG .
If you need raw power , look at GRASS GIS ( the interface is n't up to par if you ask me and you can access many GRASS features directly from QGIS ) .
( if you need a spatial database , there 's nothing better than PostGIS ) The OSGeo.org ( the open source geospatial foundation ) is a great resource in that regards .
Depending on your needs ( geospatial is vast , see my sig ) , you may " need " ArcGIS from ESRI - it 's commercial , it 's expensive and it crashes regularly , but it does things no other GIS can easily do .</tokentext>
<sentencetext>Quantum GIS might be intereting to you: qgis.org and so may gvSIG.
If you need raw power, look at GRASS GIS (the interface isn't up to par if you ask me and you can access many GRASS features directly from QGIS).
(if you need a spatial database, there's nothing better than PostGIS)The OSGeo.org (the open source geospatial foundation) is a great resource in that regards.
Depending on your needs (geospatial is vast, see my sig), you may "need" ArcGIS from ESRI - it's commercial, it's expensive and it crashes regularly, but it does things no other GIS can easily do.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633918</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30637180</id>
	<title>Re:Games</title>
	<author>Anonymous</author>
	<datestamp>1262536500000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p>that was our thought, I'm with an indie game developer (<a href="http://www.longbowgames.com/" title="longbowgames.com" rel="nofollow">Longbow Games</a> [longbowgames.com]) and we used almost a million km of nasa's data to recreate ancient greece for an rts we're working on. we really wanted to emphasize the tactical implications of the narrow valleys, mountain passes and river crossings of greece - stuff that's really ignored in most tactical wargames like total war. we did have to tweak stuff for playability and to fit our unit scale but there's no comparing realistic mountain formations to the randomly generated terrain you see in most games.</p></htmltext>
<tokenext>that was our thought , I 'm with an indie game developer ( Longbow Games [ longbowgames.com ] ) and we used almost a million km of nasa 's data to recreate ancient greece for an rts we 're working on .
we really wanted to emphasize the tactical implications of the narrow valleys , mountain passes and river crossings of greece - stuff that 's really ignored in most tactical wargames like total war .
we did have to tweak stuff for playability and to fit our unit scale but there 's no comparing realistic mountain formations to the randomly generated terrain you see in most games .</tokentext>
<sentencetext>that was our thought, I'm with an indie game developer (Longbow Games [longbowgames.com]) and we used almost a million km of nasa's data to recreate ancient greece for an rts we're working on.
we really wanted to emphasize the tactical implications of the narrow valleys, mountain passes and river crossings of greece - stuff that's really ignored in most tactical wargames like total war.
we did have to tweak stuff for playability and to fit our unit scale but there's no comparing realistic mountain formations to the randomly generated terrain you see in most games.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633568</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30642334</id>
	<title>Re:Canada and USSR way ahead in this area.</title>
	<author>Anonymous</author>
	<datestamp>1262627100000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p>Radarsat 1 and 2 were not designed to measure topography, but do produce nice high resolution imagery.  Tandem X launched by Europe will measure topography better than SRTM, but - you will have to pay plenty for it.</p></htmltext>
<tokenext>Radarsat 1 and 2 were not designed to measure topography , but do produce nice high resolution imagery .
Tandem X launched by Europe will measure topography better than SRTM , but - you will have to pay plenty for it .</tokentext>
<sentencetext>Radarsat 1 and 2 were not designed to measure topography, but do produce nice high resolution imagery.
Tandem X launched by Europe will measure topography better than SRTM, but - you will have to pay plenty for it.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633890</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634804</id>
	<title>60 degrees north.</title>
	<author>rossdee</author>
	<datestamp>1262517540000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>"(Ok, right now it is 59 deg 51' 7"...) "</p><p>Are you slowly moving south on the ice sheet/glacier?</p><p>I only live at 46.3 degrees north, and it just now got up to 0F for the first time in 3 days.)</p></htmltext>
<tokenext>" ( Ok , right now it is 59 deg 51 ' 7 " ... ) " Are you slowly moving south on the ice sheet/glacier ? I only live at 46.3 degrees north , and it just now got up to 0F for the first time in 3 days .
)</tokentext>
<sentencetext>"(Ok, right now it is 59 deg 51' 7"...) "Are you slowly moving south on the ice sheet/glacier?I only live at 46.3 degrees north, and it just now got up to 0F for the first time in 3 days.
)</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633624</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636594</id>
	<title>Re:Meters are not yards</title>
	<author>MobileTatsu-NJG</author>
	<datestamp>1262530620000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>We're reading a summary not running around with a ruler taking measurements.</p></htmltext>
<tokenext>We 're reading a summary not running around with a ruler taking measurements .</tokentext>
<sentencetext>We're reading a summary not running around with a ruler taking measurements.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633834</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634116</id>
	<title>One litre fuel, climb Mt Everest, roll long way</title>
	<author>thorpie</author>
	<datestamp>1262512440000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>I used the SRTM data extensively last year developing a program to identify set gradients for intelligent transport.</p><p>One liter of fuel passed through a small engine will provide enough energy to raise you to the height of Mount Everest.  </p><p>From the top of Mt Everest a consistent 0.7\% gradient will travel for over 1,000 km</p><p>Current technology, like an aero-dynamic coffin on rails, will roll down a 0.7\% gradient at over 65 km/hr</p><p>That's 1,000 km/litre, or over 2,500 mpg, and the efficiency we need to be aiming for with our transport system</p><p>check it at <a href="http//www.megametrelitre.com" title="slashdot.org" rel="nofollow">http//www.megametrelitre.com</a> [slashdot.org] </p></htmltext>
<tokenext>I used the SRTM data extensively last year developing a program to identify set gradients for intelligent transport.One liter of fuel passed through a small engine will provide enough energy to raise you to the height of Mount Everest .
From the top of Mt Everest a consistent 0.7 \ % gradient will travel for over 1,000 kmCurrent technology , like an aero-dynamic coffin on rails , will roll down a 0.7 \ % gradient at over 65 km/hrThat 's 1,000 km/litre , or over 2,500 mpg , and the efficiency we need to be aiming for with our transport systemcheck it at http//www.megametrelitre.com [ slashdot.org ]</tokentext>
<sentencetext>I used the SRTM data extensively last year developing a program to identify set gradients for intelligent transport.One liter of fuel passed through a small engine will provide enough energy to raise you to the height of Mount Everest.
From the top of Mt Everest a consistent 0.7\% gradient will travel for over 1,000 kmCurrent technology, like an aero-dynamic coffin on rails, will roll down a 0.7\% gradient at over 65 km/hrThat's 1,000 km/litre, or over 2,500 mpg, and the efficiency we need to be aiming for with our transport systemcheck it at http//www.megametrelitre.com [slashdot.org] </sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634856</id>
	<title>SRTM-DEM CSI-CGIAR v4 + ASTER-GDEM and more</title>
	<author>Lord Satri</author>
	<datestamp>1262517900000</datestamp>
	<modclass>Informativ</modclass>
	<modscore>4</modscore>
	<htmltext><p>First, a quick reaction to your post. Radarsat-1 and 2 data, in regards to DEMs, is far from being comparable. The SRTM mission was dual-antenna interferometry, with Radarsat (or Envisat), you must use two images at different times. DEMs from Radarsat can be good and better than SRTM, but it's pretty expensive and there are alternatives (in Canada: CDED1 data is free and in many cases much more reliable than Radarsat data).</p><p>If you ever want to use SRTM-DEM data, check the CSI-CGIAR version 4 version. It's the best out there, it's a *major* improvement over the original and previous versions. If you're in hydrography, look at HydroSHEDS SRTM-DEM data.</p><p>This year, the advent of the ASTER-GDEM (global DEM) diminished the interest of SRTM-DEM. ASTER-GDEM is still "research-grade", but offers higher spatial resolution, and most important, cover much more land than SRTM (northerm Canada and URSS).</p><p>On top of my mind, don't forget SRTM-DEM is available at a higher spatial resolution over the USA than elsewhere (1 arc-second vs 3). The 1-arc-second for the whole world is suppose to become available some time in the future, but that has not happened yet. Also, the X-band (the actual SRTM-DEM comes from the C-band data IIRC) is in the hands of the Germans, but to my knowledge, no public DEMs has come out of it yet (even after all those years). Still relying on my memory (I can be mistaken, see next paragraph), the TerraSAR-X in orbit should be able to give us an even better near global DEM than what's available at the moment.</p><p>Sorry for the lack of links. I'm still in my holiday break and you can simply google your way in. Or search SRTM on the site in my sig! have fun -</p></htmltext>
<tokenext>First , a quick reaction to your post .
Radarsat-1 and 2 data , in regards to DEMs , is far from being comparable .
The SRTM mission was dual-antenna interferometry , with Radarsat ( or Envisat ) , you must use two images at different times .
DEMs from Radarsat can be good and better than SRTM , but it 's pretty expensive and there are alternatives ( in Canada : CDED1 data is free and in many cases much more reliable than Radarsat data ) .If you ever want to use SRTM-DEM data , check the CSI-CGIAR version 4 version .
It 's the best out there , it 's a * major * improvement over the original and previous versions .
If you 're in hydrography , look at HydroSHEDS SRTM-DEM data.This year , the advent of the ASTER-GDEM ( global DEM ) diminished the interest of SRTM-DEM .
ASTER-GDEM is still " research-grade " , but offers higher spatial resolution , and most important , cover much more land than SRTM ( northerm Canada and URSS ) .On top of my mind , do n't forget SRTM-DEM is available at a higher spatial resolution over the USA than elsewhere ( 1 arc-second vs 3 ) .
The 1-arc-second for the whole world is suppose to become available some time in the future , but that has not happened yet .
Also , the X-band ( the actual SRTM-DEM comes from the C-band data IIRC ) is in the hands of the Germans , but to my knowledge , no public DEMs has come out of it yet ( even after all those years ) .
Still relying on my memory ( I can be mistaken , see next paragraph ) , the TerraSAR-X in orbit should be able to give us an even better near global DEM than what 's available at the moment.Sorry for the lack of links .
I 'm still in my holiday break and you can simply google your way in .
Or search SRTM on the site in my sig !
have fun -</tokentext>
<sentencetext>First, a quick reaction to your post.
Radarsat-1 and 2 data, in regards to DEMs, is far from being comparable.
The SRTM mission was dual-antenna interferometry, with Radarsat (or Envisat), you must use two images at different times.
DEMs from Radarsat can be good and better than SRTM, but it's pretty expensive and there are alternatives (in Canada: CDED1 data is free and in many cases much more reliable than Radarsat data).If you ever want to use SRTM-DEM data, check the CSI-CGIAR version 4 version.
It's the best out there, it's a *major* improvement over the original and previous versions.
If you're in hydrography, look at HydroSHEDS SRTM-DEM data.This year, the advent of the ASTER-GDEM (global DEM) diminished the interest of SRTM-DEM.
ASTER-GDEM is still "research-grade", but offers higher spatial resolution, and most important, cover much more land than SRTM (northerm Canada and URSS).On top of my mind, don't forget SRTM-DEM is available at a higher spatial resolution over the USA than elsewhere (1 arc-second vs 3).
The 1-arc-second for the whole world is suppose to become available some time in the future, but that has not happened yet.
Also, the X-band (the actual SRTM-DEM comes from the C-band data IIRC) is in the hands of the Germans, but to my knowledge, no public DEMs has come out of it yet (even after all those years).
Still relying on my memory (I can be mistaken, see next paragraph), the TerraSAR-X in orbit should be able to give us an even better near global DEM than what's available at the moment.Sorry for the lack of links.
I'm still in my holiday break and you can simply google your way in.
Or search SRTM on the site in my sig!
have fun -</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633890</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636514</id>
	<title>Re:Meters are not yards</title>
	<author>mykdavies</author>
	<datestamp>1262530020000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>I suspect that, given that this was a US mission, the resolution was originally stated by NASA as approximately 100 feet. This would later have been approximated to 30 metres for an international audience, and later still someone added the 90 feet approximation.</htmltext>
<tokenext>I suspect that , given that this was a US mission , the resolution was originally stated by NASA as approximately 100 feet .
This would later have been approximated to 30 metres for an international audience , and later still someone added the 90 feet approximation .</tokentext>
<sentencetext>I suspect that, given that this was a US mission, the resolution was originally stated by NASA as approximately 100 feet.
This would later have been approximated to 30 metres for an international audience, and later still someone added the 90 feet approximation.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633834</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636740</id>
	<title>recreated ancient greece for pc rts</title>
	<author>Anonymous</author>
	<datestamp>1262532300000</datestamp>
	<modclass>Informativ</modclass>
	<modscore>1</modscore>
	<htmltext><p>As a small indie video game developer NASA's srtm data was an invaluable resource for assembling an accurate map of ancient greece for our upcoming rts <a href="http://www.longbowgames.com/hegemony" title="longbowgames.com" rel="nofollow">Hegemony: Philip of Macedon</a> [longbowgames.com].</p></htmltext>
<tokenext>As a small indie video game developer NASA 's srtm data was an invaluable resource for assembling an accurate map of ancient greece for our upcoming rts Hegemony : Philip of Macedon [ longbowgames.com ] .</tokentext>
<sentencetext>As a small indie video game developer NASA's srtm data was an invaluable resource for assembling an accurate map of ancient greece for our upcoming rts Hegemony: Philip of Macedon [longbowgames.com].</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30639438</id>
	<title>Canadian data available through GeoBase (gvmt)</title>
	<author>xtal</author>
	<datestamp>1262611500000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>You can get high resolution data for free through GeoBase in Canada. Your tax dollars at work..</p><p><a href="http://www.geobase.ca/" title="geobase.ca">http://www.geobase.ca/</a> [geobase.ca]</p></htmltext>
<tokenext>You can get high resolution data for free through GeoBase in Canada .
Your tax dollars at work..http : //www.geobase.ca/ [ geobase.ca ]</tokentext>
<sentencetext>You can get high resolution data for free through GeoBase in Canada.
Your tax dollars at work..http://www.geobase.ca/ [geobase.ca]</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633890</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30638788</id>
	<title>Re:Canada and USSR way ahead in this area.</title>
	<author>hyc</author>
	<datestamp>1262601720000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>But it took NASA to develop SAR and refine its use. I worked on the control software for <a href="http://southport.jpl.nasa.gov/sir-c/" title="nasa.gov">SIR-C</a> [nasa.gov] back in 1991-1994; all of the software that I wrote for that got re-used by RADARSAT and SRTM and probably other missions as well. (Haven't really kept tabs after I left.)</p></htmltext>
<tokenext>But it took NASA to develop SAR and refine its use .
I worked on the control software for SIR-C [ nasa.gov ] back in 1991-1994 ; all of the software that I wrote for that got re-used by RADARSAT and SRTM and probably other missions as well .
( Have n't really kept tabs after I left .
)</tokentext>
<sentencetext>But it took NASA to develop SAR and refine its use.
I worked on the control software for SIR-C [nasa.gov] back in 1991-1994; all of the software that I wrote for that got re-used by RADARSAT and SRTM and probably other missions as well.
(Haven't really kept tabs after I left.
)</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633890</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634040</id>
	<title>Reverse engineering painter/photographer location</title>
	<author>lawrenceb</author>
	<datestamp>1262511960000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>We have no idea where many photographs were taken. Also, there are many old paintings with poor titles such as "Landscape at Dawn/Sunset".</p><p>By scanning images with definable features (e.g. two hills, river in the foreground, somewhere in France), it shouldn't be that hard to exhaustively search the SRTM data for possible location matches- especially if individuals could enrich the scanned data by providing height or distance estimates?</p></htmltext>
<tokenext>We have no idea where many photographs were taken .
Also , there are many old paintings with poor titles such as " Landscape at Dawn/Sunset " .By scanning images with definable features ( e.g .
two hills , river in the foreground , somewhere in France ) , it should n't be that hard to exhaustively search the SRTM data for possible location matches- especially if individuals could enrich the scanned data by providing height or distance estimates ?</tokentext>
<sentencetext>We have no idea where many photographs were taken.
Also, there are many old paintings with poor titles such as "Landscape at Dawn/Sunset".By scanning images with definable features (e.g.
two hills, river in the foreground, somewhere in France), it shouldn't be that hard to exhaustively search the SRTM data for possible location matches- especially if individuals could enrich the scanned data by providing height or distance estimates?</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633890</id>
	<title>Canada and USSR way ahead in this area.</title>
	<author>Animats</author>
	<datestamp>1262510640000</datestamp>
	<modclass>Interestin</modclass>
	<modscore>4</modscore>
	<htmltext><p>
The Canadian RADARSAT-I and <a href="http://www.radarsat2.info/" title="radarsat2.info">RADARSAT-2</a> [radarsat2.info] satellites have better data.  Resolution goes down to 3 meters if desired, and is 25 meters normally.  That's much better than what NASA has.
Here's <a href="http://www.radarsat2.info/images/gallery/RSAT2\_UltraFine\_Ottawa.jpg" title="radarsat2.info">Ottawa seen by RADARSAT-II</a> [radarsat2.info].  Here's <a href="http://www.radarsat2.info/images/gallery/RSAT-2\_UltraFine\_Paris.jpg" title="radarsat2.info">Paris.</a> [radarsat2.info]
They did it first, too; here's <a href="http://ceos.cnes.fr:8100/cdrom-98/ceos1/satellit/radarsat/first.htm" title="ceos.cnes.fr">RADARSAT-I's first image from 1995.</a> [ceos.cnes.fr] RADARSAT-I was launched from the US on a Delta booster back in 1995, but RADARSAT-II was launched from Kazakhstan on a Soyuz booster
</p><p>
They collect amplitude, phase, and range data, so they can do processing to get false-color images which bring out terrain features.  Here's <a href="http://www.radarsat2.info/images/gallery//RSAT-2\_FineQuad\_Washington.jpg" title="radarsat2.info">Washington</a> [radarsat2.info] after processing.
</p><p>
RADARSAT is a commercial service.  You can <a href="http://gs.mdacorporation.com/products/sensor/radarsat2/rs2\_price.asp" title="mdacorporation.com">order images.</a> [mdacorporation.com]  The base price for a custom image (taken at your request, not from the archive) is $5400CN.  Wait time is a week or two. If you're in a real hurry, an additional $4,800CN rush charge gets your picture taken within about 12 hours.  Archival data is much cheaper, and is available from <a href="http://gs.mdacorporation.com/" title="mdacorporation.com">MDA Corporation</a> [mdacorporation.com].  MDA also has data from Ikonos, Quickbird, Landsat, etc. Much topo data comes from those archives already.
</p><p>
Unlike the NASA data, this data is good enough to easily tell land from water.  Better radar systems return "first and last" returns, which, over wooded areas, return both ground height and tree height, so areas of vegetation can be detected. The Washington DC false-color image shows all this.
</p><p>
It doesn't take all the NASA overhead of putting people in space to do this.  The private sector is doing it just fine.</p></htmltext>
<tokenext>The Canadian RADARSAT-I and RADARSAT-2 [ radarsat2.info ] satellites have better data .
Resolution goes down to 3 meters if desired , and is 25 meters normally .
That 's much better than what NASA has .
Here 's Ottawa seen by RADARSAT-II [ radarsat2.info ] .
Here 's Paris .
[ radarsat2.info ] They did it first , too ; here 's RADARSAT-I 's first image from 1995 .
[ ceos.cnes.fr ] RADARSAT-I was launched from the US on a Delta booster back in 1995 , but RADARSAT-II was launched from Kazakhstan on a Soyuz booster They collect amplitude , phase , and range data , so they can do processing to get false-color images which bring out terrain features .
Here 's Washington [ radarsat2.info ] after processing .
RADARSAT is a commercial service .
You can order images .
[ mdacorporation.com ] The base price for a custom image ( taken at your request , not from the archive ) is $ 5400CN .
Wait time is a week or two .
If you 're in a real hurry , an additional $ 4,800CN rush charge gets your picture taken within about 12 hours .
Archival data is much cheaper , and is available from MDA Corporation [ mdacorporation.com ] .
MDA also has data from Ikonos , Quickbird , Landsat , etc .
Much topo data comes from those archives already .
Unlike the NASA data , this data is good enough to easily tell land from water .
Better radar systems return " first and last " returns , which , over wooded areas , return both ground height and tree height , so areas of vegetation can be detected .
The Washington DC false-color image shows all this .
It does n't take all the NASA overhead of putting people in space to do this .
The private sector is doing it just fine .</tokentext>
<sentencetext>
The Canadian RADARSAT-I and RADARSAT-2 [radarsat2.info] satellites have better data.
Resolution goes down to 3 meters if desired, and is 25 meters normally.
That's much better than what NASA has.
Here's Ottawa seen by RADARSAT-II [radarsat2.info].
Here's Paris.
[radarsat2.info]
They did it first, too; here's RADARSAT-I's first image from 1995.
[ceos.cnes.fr] RADARSAT-I was launched from the US on a Delta booster back in 1995, but RADARSAT-II was launched from Kazakhstan on a Soyuz booster

They collect amplitude, phase, and range data, so they can do processing to get false-color images which bring out terrain features.
Here's Washington [radarsat2.info] after processing.
RADARSAT is a commercial service.
You can order images.
[mdacorporation.com]  The base price for a custom image (taken at your request, not from the archive) is $5400CN.
Wait time is a week or two.
If you're in a real hurry, an additional $4,800CN rush charge gets your picture taken within about 12 hours.
Archival data is much cheaper, and is available from MDA Corporation [mdacorporation.com].
MDA also has data from Ikonos, Quickbird, Landsat, etc.
Much topo data comes from those archives already.
Unlike the NASA data, this data is good enough to easily tell land from water.
Better radar systems return "first and last" returns, which, over wooded areas, return both ground height and tree height, so areas of vegetation can be detected.
The Washington DC false-color image shows all this.
It doesn't take all the NASA overhead of putting people in space to do this.
The private sector is doing it just fine.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636566</id>
	<title>Re:Best GIS software ?</title>
	<author>phyr</author>
	<datestamp>1262530380000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>For visualizing terrain data the open source <a href="http://earth.esa.int/nest" title="esa.int" rel="nofollow">NEST ESA SAR Toolbox</a> [esa.int] is great.
It automatically downloads SRTM tiles as needed to orthorectify SAR images.
When the interferometry modules are ready it will also be able to generate new DEMs from SAR images</htmltext>
<tokenext>For visualizing terrain data the open source NEST ESA SAR Toolbox [ esa.int ] is great .
It automatically downloads SRTM tiles as needed to orthorectify SAR images .
When the interferometry modules are ready it will also be able to generate new DEMs from SAR images</tokentext>
<sentencetext>For visualizing terrain data the open source NEST ESA SAR Toolbox [esa.int] is great.
It automatically downloads SRTM tiles as needed to orthorectify SAR images.
When the interferometry modules are ready it will also be able to generate new DEMs from SAR images</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633918</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30645608</id>
	<title>Re:Meters are not yards</title>
	<author>Chapter80</author>
	<datestamp>1262597400000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p><div class="quote"><p>I suspect that, given that this was a US mission, the resolution was originally stated by NASA as approximately 100 feet. This would later have been approximated to 30 metres for an international audience, and later still someone added the 90 feet approximation.</p></div><p>So really then, about 25 meters.</p></div>
	</htmltext>
<tokenext>I suspect that , given that this was a US mission , the resolution was originally stated by NASA as approximately 100 feet .
This would later have been approximated to 30 metres for an international audience , and later still someone added the 90 feet approximation.So really then , about 25 meters .</tokentext>
<sentencetext>I suspect that, given that this was a US mission, the resolution was originally stated by NASA as approximately 100 feet.
This would later have been approximated to 30 metres for an international audience, and later still someone added the 90 feet approximation.So really then, about 25 meters.
	</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636514</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633910</id>
	<title>Re:Games</title>
	<author>stavrica</author>
	<datestamp>1262511000000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>You mean like <a href="http://www.battlecell.com/" title="battlecell.com" rel="nofollow">BattleCell</a> [battlecell.com]?  Offensive/defensive military strength of each cell depends on troop counts as well as altitude differences between cells.

(Yes, we used STRM data to acquire our altitudes.)</htmltext>
<tokenext>You mean like BattleCell [ battlecell.com ] ?
Offensive/defensive military strength of each cell depends on troop counts as well as altitude differences between cells .
( Yes , we used STRM data to acquire our altitudes .
)</tokentext>
<sentencetext>You mean like BattleCell [battlecell.com]?
Offensive/defensive military strength of each cell depends on troop counts as well as altitude differences between cells.
(Yes, we used STRM data to acquire our altitudes.
)</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633568</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633840</id>
	<title>Re:How different?</title>
	<author>toastar</author>
	<datestamp>1262510280000</datestamp>
	<modclass>Informativ</modclass>
	<modscore>4</modscore>
	<htmltext>Actually it's lower resolution then many other maps, It does have very high coverage, The problem is trying to find a pass that doesn't have to much cloud cover.

As someone who does GIS for a living, I can say we usually use this data til we can get a LIDAR Plane over the prospect.</htmltext>
<tokenext>Actually it 's lower resolution then many other maps , It does have very high coverage , The problem is trying to find a pass that does n't have to much cloud cover .
As someone who does GIS for a living , I can say we usually use this data til we can get a LIDAR Plane over the prospect .</tokentext>
<sentencetext>Actually it's lower resolution then many other maps, It does have very high coverage, The problem is trying to find a pass that doesn't have to much cloud cover.
As someone who does GIS for a living, I can say we usually use this data til we can get a LIDAR Plane over the prospect.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633638</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633924</id>
	<title>Re:Games</title>
	<author>negRo\_slim</author>
	<datestamp>1262511060000</datestamp>
	<modclass>Informativ</modclass>
	<modscore>3</modscore>
	<htmltext><p><div class="quote"><p>It's just perfect use for games</p></div><p>Probably if you could find the data being talked about. Hard to imagine what I'm going to do with it if I don't have <a href="http://edcsns17.cr.usgs.gov/EarthExplorer/" title="usgs.gov">it!</a> [usgs.gov]</p></div>
	</htmltext>
<tokenext>It 's just perfect use for gamesProbably if you could find the data being talked about .
Hard to imagine what I 'm going to do with it if I do n't have it !
[ usgs.gov ]</tokentext>
<sentencetext>It's just perfect use for gamesProbably if you could find the data being talked about.
Hard to imagine what I'm going to do with it if I don't have it!
[usgs.gov]
	</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633568</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30642956</id>
	<title>Re:SRTM-DEM CSI-CGIAR v4 + ASTER-GDEM and more</title>
	<author>Anonymous</author>
	<datestamp>1262629320000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p>Thanks for the efficient information.</p></htmltext>
<tokenext>Thanks for the efficient information .</tokentext>
<sentencetext>Thanks for the efficient information.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634856</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634036</id>
	<title>NASA imaging</title>
	<author>digitalhermit</author>
	<datestamp>1262511960000</datestamp>
	<modclass>Interestin</modclass>
	<modscore>4</modscore>
	<htmltext><p>Hopefully this will spur more interest in some of the many tools that NASA provides for free on its website. There are many free Java applications (standalone or jnlp) to view the data or embed it within your own application. Though the documentation is not always the greatest, with a little tinkering you can make interactive websites for anything from planning your camping trip to searching for ancient meteor craters.</p><p><a href="http://worldwind.arc.nasa.gov/java/" title="nasa.gov">http://worldwind.arc.nasa.gov/java/</a> [nasa.gov]</p><p>Though a lot of the sources are availble, many of the Linux distributions don't have an easy way of building them. It's a real pain to build, but the results are spectacular.</p></htmltext>
<tokenext>Hopefully this will spur more interest in some of the many tools that NASA provides for free on its website .
There are many free Java applications ( standalone or jnlp ) to view the data or embed it within your own application .
Though the documentation is not always the greatest , with a little tinkering you can make interactive websites for anything from planning your camping trip to searching for ancient meteor craters.http : //worldwind.arc.nasa.gov/java/ [ nasa.gov ] Though a lot of the sources are availble , many of the Linux distributions do n't have an easy way of building them .
It 's a real pain to build , but the results are spectacular .</tokentext>
<sentencetext>Hopefully this will spur more interest in some of the many tools that NASA provides for free on its website.
There are many free Java applications (standalone or jnlp) to view the data or embed it within your own application.
Though the documentation is not always the greatest, with a little tinkering you can make interactive websites for anything from planning your camping trip to searching for ancient meteor craters.http://worldwind.arc.nasa.gov/java/ [nasa.gov]Though a lot of the sources are availble, many of the Linux distributions don't have an easy way of building them.
It's a real pain to build, but the results are spectacular.</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30636762</id>
	<title>Re:Meters are not yards</title>
	<author>MaxTardiveau</author>
	<datestamp>1262532420000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext>Good point. I have corrected the article to reflect this. Thanks for pointing it out. Unfortunately I can't correct the part of the article that is in Slashdot, but I think civilization will endure anyway.</htmltext>
<tokenext>Good point .
I have corrected the article to reflect this .
Thanks for pointing it out .
Unfortunately I ca n't correct the part of the article that is in Slashdot , but I think civilization will endure anyway .</tokentext>
<sentencetext>Good point.
I have corrected the article to reflect this.
Thanks for pointing it out.
Unfortunately I can't correct the part of the article that is in Slashdot, but I think civilization will endure anyway.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633834</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633830</id>
	<title>It's about consistency</title>
	<author>Anonymous</author>
	<datestamp>1262510160000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p>I had the same thought. For most locations, there is data available which is even more precise than the SRTM data. </p><p>But the difference is that the SRTM data is freely available and has the same format all over the world, whereas the other data usually isn't cheap and has a different format in each country. Older data may even be non-structured (i.e. in a simple image format). It would be a PITA to get all the information together in a usable form.</p></htmltext>
<tokenext>I had the same thought .
For most locations , there is data available which is even more precise than the SRTM data .
But the difference is that the SRTM data is freely available and has the same format all over the world , whereas the other data usually is n't cheap and has a different format in each country .
Older data may even be non-structured ( i.e .
in a simple image format ) .
It would be a PITA to get all the information together in a usable form .</tokentext>
<sentencetext>I had the same thought.
For most locations, there is data available which is even more precise than the SRTM data.
But the difference is that the SRTM data is freely available and has the same format all over the world, whereas the other data usually isn't cheap and has a different format in each country.
Older data may even be non-structured (i.e.
in a simple image format).
It would be a PITA to get all the information together in a usable form.</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633638</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633834</id>
	<title>Meters are not yards</title>
	<author>Anonymous</author>
	<datestamp>1262510220000</datestamp>
	<modclass>Insightful</modclass>
	<modscore>4</modscore>
	<htmltext><p>I know Americans like to equate meters with yards, and when dealing with a small number, this is a close enough approximation for most purposes. However, 30 meters is 98.4 feet, so a better approximation for the purposes of this post would have been 100 feet.</p><p>Didn't we learn our lesson regarding sloppy unit conversions during one of our recent multi-million dollar collisions with Mars?<nobr> <wbr></nobr>;)</p></htmltext>
<tokenext>I know Americans like to equate meters with yards , and when dealing with a small number , this is a close enough approximation for most purposes .
However , 30 meters is 98.4 feet , so a better approximation for the purposes of this post would have been 100 feet.Did n't we learn our lesson regarding sloppy unit conversions during one of our recent multi-million dollar collisions with Mars ?
; )</tokentext>
<sentencetext>I know Americans like to equate meters with yards, and when dealing with a small number, this is a close enough approximation for most purposes.
However, 30 meters is 98.4 feet, so a better approximation for the purposes of this post would have been 100 feet.Didn't we learn our lesson regarding sloppy unit conversions during one of our recent multi-million dollar collisions with Mars?
;)</sentencetext>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30634078</id>
	<title>Re:Canada and USSR way ahead in this area.</title>
	<author>Anonymous</author>
	<datestamp>1262512200000</datestamp>
	<modclass>None</modclass>
	<modscore>0</modscore>
	<htmltext><p><div class="quote"><p>RADARSAT-I was launched from the US on a Delta booster...it doesn't take all the NASA overhead of putting people in space to do this</p></div><p>Who developed the Delta booster? Oh yea, NASA. And as far as which was first and had the best resolution, I'm pretty sure the <a href="http://en.wikipedia.org/wiki/Lacrosse\_(satellite)" title="wikipedia.org" rel="nofollow">lacrosse</a> [wikipedia.org] system has both of those honors. </p></div>
	</htmltext>
<tokenext>RADARSAT-I was launched from the US on a Delta booster...it does n't take all the NASA overhead of putting people in space to do thisWho developed the Delta booster ?
Oh yea , NASA .
And as far as which was first and had the best resolution , I 'm pretty sure the lacrosse [ wikipedia.org ] system has both of those honors .</tokentext>
<sentencetext>RADARSAT-I was launched from the US on a Delta booster...it doesn't take all the NASA overhead of putting people in space to do thisWho developed the Delta booster?
Oh yea, NASA.
And as far as which was first and had the best resolution, I'm pretty sure the lacrosse [wikipedia.org] system has both of those honors. 
	</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633890</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633992</id>
	<title>Re:30-meter data</title>
	<author>RealGrouchy</author>
	<datestamp>1262511480000</datestamp>
	<modclass>None</modclass>
	<modscore>1</modscore>
	<htmltext><p>No, the rest of the world would be 90 metres.<nobr> <wbr></nobr>;)</p><p>- RG&gt;</p></htmltext>
<tokenext>No , the rest of the world would be 90 metres .
; ) - RG &gt;</tokentext>
<sentencetext>No, the rest of the world would be 90 metres.
;)- RG&gt;</sentencetext>
	<parent>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633682</parent>
</comment>
<comment>
	<id>http://www.semanticweb.org/ontologies/ConversationInstances.owl#comment10_01_03_199219.30633568</id>
	<title>Games</title>
	<author>Anonymous</author>
	<datestamp>1262550600000</datestamp>
	<modclass>Interestin</modclass>
	<modscore>4</modscore>
	<htmltext><p>It's just perfect use for games, from flight simulators to city building and civilization series. It's a lot more fun to play on real terrain.</p></htmltext>
<tokenext>It 's just perfect use for games , from flight simulators to city building and civilization series .
It 's a lot more fun to play on real terrain .</tokentext>
<sentencetext>It's just perfect use for games, from flight simulators to city building and civilization series.
It's a lot more fun to play on real terrain.</sentencetext>
</comment>
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