DocumentCode :
1337429
Title :
Correction of errors in SPOT-Derived DEM´s using GTOPO30 data
Author :
Endreny, Theodore A. ; Wood, Eric F. ; Hsu, Ann
Author_Institution :
Dept. of Civil & Environ. Eng., Princeton Univ., NJ, USA
Volume :
38
Issue :
3
fYear :
2000
fDate :
5/1/2000 12:00:00 AM
Firstpage :
1234
Lastpage :
1241
Abstract :
In hydrological studies of the Little Washita River Watershed, OK, a 1000 km2 section of a satellite probatoire d´observation de la terre (SPOT)-derived digital elevation model (DEM) was observed to contain systematic elevation errors, and a technique for minimizing these errors was developed. Error minimization was achieved by first overlaying the Little Washita section of GTOPO30, the latest DEM providing global land coverage, and then computing GTOPO30-SPOT elevation residuals. Spatial analysis of these elevation residuals revealed a systematic elevation error oriented about a single axis, and rotating the SPOT-derived DEM scene about this axis minimized the GTOPO30-SPOT root mean square error (RMSE) by nearly 10%. The axis intercept, slope, and degree of rotation identified using the relatively coarse 1 km resolution GTOPO30 product were nearly identical to those identified using three separate DEM´s of 30 and 90 m resolution. Forty ground control points (GCPs) not used in the original stereocorrelation of the SPOT-derived DEM confirmed that rotation improved the Little Washita SPOT-derived DEM RMSE by nearly 26%. This research indicates that 60×60 km2 SPOT-derived DEM scenes may have interior subsections that contain systematic elevation error, and that the GTOPO30 data set has an adequate systematic accuracy for identifying and correcting this error
Keywords :
geodesy; geophysical techniques; photogrammetry; remote sensing; terrain mapping; topography (Earth); DEM; GTOPO30; Little Washita River Watershed; Oklahoma; SPOT; USA; United States; digital elevation model; error correction; error minimization; geodesy; geophysical measurement technique; ground control points; interior subsection; land surface; photogrammetry; remote sensing; satellite imaging; stereocorrelation; systematic elevation error; terrain mapping; topography; Aerospace engineering; Digital elevation models; Error correction; Forestry; Layout; Rivers; Root mean square; Satellite broadcasting; Spatial resolution; Water resources;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.843015
Filename :
843015
Link To Document :
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