Correction of errors in SPOT-Derived DEM's using GTOPO30 data
In hydrological studies of the Little Washita River Watershed, OK, a 1000 km/sup 2/ 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 devel...
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Published in: | IEEE transactions on geoscience and remote sensing Vol. 38; no. 3; pp. 1234 - 1241 |
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01-05-2000
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Abstract | In hydrological studies of the Little Washita River Watershed, OK, a 1000 km/sup 2/ 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/spl times/60 km/sup 2/ 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. |
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AbstractList | In hydrological studies of the Little Washita River Watershed, OK, a 1000 km/sup 2/ 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/spl times/60 km/sup 2/ 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. In hydrological studies of the Little Washita River Watershed, OK, a 1000 km super(2) 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 (GCP's) 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 x 60 km super(2) 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. In hydrological studies of the Little Washita River Watershed, OK, a 1000 km super(2) 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 6060 km super(2) 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 In hydrological studies of the Little Washita River Watershed, OK, a 1000 km(2) 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 60x60 km(2) 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 In hydrological studies of the Little Washita River Watershed, OK, a 1000 sq km section of a 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 rms error (RMSE) by nearly 10 percent. 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 DEMs 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 percent. This research indicates that 60 60 sq km 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. (Author) |
Author | Hsu, A. Wood, E.F. Endreny, T.A. |
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Keywords | altitude drainage basins corrections correlation hydrology Spot Space remote sensing imagery topography accuracy North America errors |
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References | satellitbild (ref4) 1997; 29 ref9 (ref2) 1997 jenson (ref10) 1988; 54 ref5 theodossiou (ref8) 1990; 56 ref1 starks (ref7) 1996 clavet (ref11) 1993; 59 (ref6) 1996 jensen (ref3) 1996 |
References_xml | – volume: 54 start-page: 1593 year: 1988 ident: ref10 article-title: extracting topographic structure from digital elevation data for geographic information system analysis publication-title: Photogramm Eng Remote Sensing contributor: fullname: jenson – year: 1996 ident: ref7 publication-title: Hydrology Data Report Washita ' 94 contributor: fullname: starks – start-page: 49 year: 1996 ident: ref3 publication-title: Introductory Digital Image Processing A Remote Sensing Perspective contributor: fullname: jensen – year: 1996 ident: ref6 publication-title: Global 30-Arc Second Elevation Data Set – ident: ref1 doi: 10.1002/hyp.3360050103 – volume: 59 start-page: 107 year: 1993 ident: ref11 article-title: gps control for 1:50 000-scale topographic mapping from satellite images publication-title: Photogramm Eng Remote Sensing contributor: fullname: clavet – ident: ref9 doi: 10.1117/12.155806 – year: 1997 ident: ref2 publication-title: Standards for Digital Elevation Models – volume: 56 start-page: 1643 year: 1990 ident: ref8 article-title: heighting accuracy of spot publication-title: Photogramm Eng Remote Sensing contributor: fullname: theodossiou – volume: 29 start-page: 10 year: 1997 ident: ref4 article-title: digital elevation models from the optical sensor on jers-1 publication-title: Remote Sensing Inform Swedish Space Corp contributor: fullname: satellitbild – ident: ref5 doi: 10.1109/36.701078 |
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SubjectTerms | Aerospace engineering Applied geophysics Digital elevation models Discrete element method Earth sciences Earth, ocean, space Elevation Error analysis Error correction Exact sciences and technology Forestry Grounds Hydrology Internal geophysics Land Layout Rivers Root mean square Satellite broadcasting Spatial resolution Water resources Watersheds |
Title | Correction of errors in SPOT-Derived DEM's using GTOPO30 data |
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