An evaluation of the JPL TOPSAR for extracting tree heights

The accuracy of the digital elevation model (DEM) generated by the Jet Propulsion Laboratory (JPL) TOPSAR for extracting canopy height is evaluated. For this purpose, an experiment using C-band TOPSAR at the Michigan Forest Test Site (MFTS) in Michigan's Upper Peninsula was conducted. Nearly 25...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2000-11, Vol.38 (6), p.2446-2454
Hauptverfasser: Kobayashi, Y., Sarabandi, K., Pierce, L., Dobson, M.C.
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Sarabandi, K.
Pierce, L.
Dobson, M.C.
description The accuracy of the digital elevation model (DEM) generated by the Jet Propulsion Laboratory (JPL) TOPSAR for extracting canopy height is evaluated. For this purpose, an experiment using C-band TOPSAR at the Michigan Forest Test Site (MFTS) in Michigan's Upper Peninsula was conducted. Nearly 25 forest stands were chosen in MFTS, which included a variety of tree types, tree heights, and densities. For these stands, extensive ground data were also collected. The most important and difficult-to-characterize ground truth parameter was the forest ground level data, which is required for extracting the height of the scattering phase center from the interferometric SAR (INSAR) DEM. To accomplish this, differential Global Positioning System (GPS) measurements were done to accurately (/spl plusmn/5 cm) characterize the elevation of: (1) a grid of points over the forest floor of each stand and (2) numerous ground control points (GCPs) over unvegetated areas. Significant discrepancies between GPS and TOPSAR DEM and between the two TOPSAR DEMS of the same area were observed. The discrepancies are attributed to uncompensated aircraft roll and multipath. An algorithm is developed to remove the residual errors in roll angle using elevation data from: (1) 100-m resolution U.S. Geological Survey DEM and (2) the GPS-measured GCPs. With this: algorithm, the uncertainties are reduced to within 3 m. Still, comparison between the corrected TOPSAR DEMs shows an average periodic height discrepancy along the cross-track direction of about /spl plusmn/5 m.
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The discrepancies are attributed to uncompensated aircraft roll and multipath. An algorithm is developed to remove the residual errors in roll angle using elevation data from: (1) 100-m resolution U.S. Geological Survey DEM and (2) the GPS-measured GCPs. With this: algorithm, the uncertainties are reduced to within 3 m. 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For this purpose, an experiment using C-band TOPSAR at the Michigan Forest Test Site (MFTS) in Michigan's Upper Peninsula was conducted. Nearly 25 forest stands were chosen in MFTS, which included a variety of tree types, tree heights, and densities. For these stands, extensive ground data were also collected. The most important and difficult-to-characterize ground truth parameter was the forest ground level data, which is required for extracting the height of the scattering phase center from the interferometric SAR (INSAR) DEM. To accomplish this, differential Global Positioning System (GPS) measurements were done to accurately (/spl plusmn/5 cm) characterize the elevation of: (1) a grid of points over the forest floor of each stand and (2) numerous ground control points (GCPs) over unvegetated areas. Significant discrepancies between GPS and TOPSAR DEM and between the two TOPSAR DEMS of the same area were observed. The discrepancies are attributed to uncompensated aircraft roll and multipath. An algorithm is developed to remove the residual errors in roll angle using elevation data from: (1) 100-m resolution U.S. Geological Survey DEM and (2) the GPS-measured GCPs. With this: algorithm, the uncertainties are reduced to within 3 m. Still, comparison between the corrected TOPSAR DEMs shows an average periodic height discrepancy along the cross-track direction of about /spl plusmn/5 m.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/36.885193</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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subjects Algorithms
Animal, plant and microbial ecology
Applied geophysics
Area measurement
Biological and medical sciences
Data mining
Digital elevation models
Discrete element method
Earth sciences
Earth, ocean, space
Exact sciences and technology
Forests
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Geologic measurements
Global Positioning System
Internal geophysics
Laboratories
Propulsion
Satellite navigation systems
Scattering parameters
Stands
Supports
Synthetic aperture radar interferometry
Teledetection and vegetation maps
Testing
Trees
title An evaluation of the JPL TOPSAR for extracting tree heights
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