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
Main Authors: Endreny, T.A., Wood, E.F., Hsu, A.
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Published: New York, NY IEEE 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.
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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Issue 3
Keywords altitude
drainage basins
corrections
correlation
hydrology
Spot
Space remote sensing
imagery
topography
accuracy
North America
errors
Language English
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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 &#x0027 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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Snippet 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...
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...
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...
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...
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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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