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| Subject: | GISList: Re: SRTM Data and ellipsoid-geoid problem |
| Date: |
11/09/2002 09:21:36 PM |
| From: |
Peter Shary |
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Aditya,
I worked with SRTM DEMs in my scientific research on comparative land form analysis. I do not know your experience with SRTM, so I list below well-known things together with those originated from my research.
There are two kinds of SRTM DEMs: 1) "PI_Processor" elevations that are relative to the WGS84 ellipsoid. 2) "GDPS" elevations that are relative to the WGS84 geoid. For descriptions (and for data), see files at this FTP thread: ftp://edcsgs9.cr.usgs.gov/pub/data/srtm/ For links to SRTM and other DEMs see this URL: http://members.fortunecity.com/eco4/giseco/id8.html
Ellipsoid essentially differs from geoid, and this might result in essential mismatch in elevation values. Geoid is the best choice, but my colleague told me that such elevations are normally secret in many countries including USA and Russia (he commented that the difference between ellipsoid and geoid reaches 70 meters even in non-mountainous territories). I do not know USA National Elevation Dataset specifications (is it relative to ellipsoid or to geoid?), but there is a little sense to compare ellipsoid-based and geoid-based DEMs. Note this remark by Thomas Harris at "Gislist" listserver: "I received USGS DRG's that are in UTM NAD27. Overlaying our Hawaii roads coverage reveals a uniform offset in the DRG data of over 100 meters. We have confidence in our road data because of field validation with GPS."... Comments were like by Mike Flannigan for "Gislist": "It sounds very familiar"...
Does someboby knows better the problem of geoid-ellipsoid differences in national standards? I will sum.
SRTM DEMs have several disadvantages, at least the following ones: (1) Elevations are rounded to whole number of meters. Because of this, you will encounter problems in some applications, such as hydrological ones. Essentially, such topography "works" good (for hydrological modelling, oil spatial re-distribution after pipeline damage, etc.) only in mountainous terrains. (2) "PI_Processor" elevations contain non-existing peaks and sinks (sinks up to 100 m in depth) that are due to low radar irradiation reflectance from water, and to elevation mismatch at ground control points. (3) "PI_Processor" elevations contain "holes" (areas with unknown elevations) related mostly to surface water and to mountain peaks. Water surfaces and wet surrounding, such as riverbeds, are too "noisy" (amplitude of tens of meters).
To my knowledge, "GDPS" elevations became available only couple of month ago at FTP link above, and this data quality is not quite clear. Washington officials promise to make 90-m SRTM DEMs available worldwide by 2004 (for 80% of drylands), see this website: http://usinfo.state.gov/cgi-bin/washfile/display.pl?p=/products/washfile/latest&f=02090401.clt&t=/products/washfile/newsitem.shtml
Hope this helps.
Peter Shary ********************** Scientific researcher and GIS developer Institute of physical, chemical, and biological problems of soil science of the Russian Academy of Sciences 142290 Poushchino Moscow region Russia Tel.: +7 0967 733604 Fax: +7 0967 790595 Research URL: http://members.fortunecity.com/eco4/research_shary/ **********************
>From: Aditya Agrawal <Aditya.Agrawal@NOAA.GOV> >Reply-To: Applied GIS and RS <APPLIED-GIS-RS@LISTES.ULAVAL.CA> >To: APPLIED-GIS-RS@LISTES.ULAVAL.CA >Subject: [APPLIED-GIS-RS] SRTM Data >Date: Fri, 1 Nov 2002 11:18:07 -0800 > >Hello. I was wondering if anyone has used the new SRTM elevation data >that is available through the USGS (http://srtm.usgs.gov). Has anyone >come across a comparison of the level of accuracy between the SRTM and >the NED (National Elevation Dataset, also through USGS)? I'm trying to >get some indication of how much these two datasets differ. If you have >any suggestions or >insight about these data, please let me know. Thank you for your time. >I will sum the replies. > >Cheers, >Aditya > >-- >Aditya Agrawal >Research Associate/GIS >NOAA Fisheries >Southwest Science Center >Santa Cruz Laboratory >110 Shaffer Rd. >Santa Cruz, CA 95060 >phone 831.420.3916 > >----- >Applied-GIS-RS home page : http://www.matox.com/agisrs > >Archives : >http://listes.ulaval.ca/listserv/archives/applied-gis-rs.html > >To unsubscribe : >http://listes.ulaval.ca/cgi-bin/wa?SUBED1=applied-gis-rs&A:=1 >( or http://www.matox.com/agisrs and click on 'Leave list' )
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