GEDI Elevation Accuracy Assessment: A Case Study of Southwest Spain

Information about forest structures is becoming crucial to earth's global carbon cycle, forest habitats, and biodiversity. The Global Ecosystem Dynamics Investigation (GEDI) provides 25-m diameter footprints of the surface for 3-D structure measurements. The main goal of this study is to...

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Main Authors: Elia Quiros, Maria-Eugenia Polo, Laura Fragoso-Campon
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9432712/
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author Elia Quiros
Maria-Eugenia Polo
Laura Fragoso-Campon
author_facet Elia Quiros
Maria-Eugenia Polo
Laura Fragoso-Campon
author_sort Elia Quiros
collection DOAJ
description Information about forest structures is becoming crucial to earth's global carbon cycle, forest habitats, and biodiversity. The Global Ecosystem Dynamics Investigation (GEDI) provides 25-m diameter footprints of the surface for 3-D structure measurements. The main goal of this study is to compare 12 031 footprints of GEDI data with other airborne and spaceborne digital elevation models (DEMs) for Southwest Spain. Ground elevation differences [elevation of the lowest mode (ELM)] are analyzed by comparing GEDI measurements with airborne laser scanning (ALS) LiDAR- and TanDEM-X-derived DEMs. The vertical structure (RH100) is compared to the ALS LiDAR measurement. Ten zones are analyzed, considering different degrees of coverage and slopes. We achieved a root mean square error (RMSE) of 6.13 m for the ELM when comparing GEDI and LiDAR data and an RMSE of 7.14 m when comparing GEDI and TanDEM-X data. For some of the studied areas, these values were considerably smaller, with RMSE values even lower than 1 m. For the RH100 metric, an RMSE of 3.56 m was achieved when comparing GEDI and LiDAR data, but again with a minimum value of 2.09 m for one zone. The results show a clear relation to coverage and slope, especially for the latter. This work also evaluates the positional uncertainty of GEDI footprints, shifting them ±10 and ±5 m along and across the track of the satellite orbit and their intermediate angular positions. The outcomes reveal a strong tendency to obtain better results in the ELM when setting the footprint to 270° and displacing it within 10 m of its positional uncertainty in comparison with the LiDAR and TanDEM-X data.
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spelling doaj.art-b3dac5b6486a44958b897584337ae00e2022-12-21T22:36:41ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01145285529910.1109/JSTARS.2021.30807119432712GEDI Elevation Accuracy Assessment: A Case Study of Southwest SpainElia Quiros0https://orcid.org/0000-0002-8429-045XMaria-Eugenia Polo1https://orcid.org/0000-0002-7598-9998Laura Fragoso-Campon2https://orcid.org/0000-0003-0397-6247Department of Graphic Expression, University of Extremadura, Polytechnic School, Cáceres, SpainDepartment of Graphic Expression, University of Extremadura, University Centre of Mérida, Mérida, SpainDepartment of Graphic Expression, University of Extremadura, Polytechnic School, Cáceres, SpainInformation about forest structures is becoming crucial to earth's global carbon cycle, forest habitats, and biodiversity. The Global Ecosystem Dynamics Investigation (GEDI) provides 25-m diameter footprints of the surface for 3-D structure measurements. The main goal of this study is to compare 12 031 footprints of GEDI data with other airborne and spaceborne digital elevation models (DEMs) for Southwest Spain. Ground elevation differences [elevation of the lowest mode (ELM)] are analyzed by comparing GEDI measurements with airborne laser scanning (ALS) LiDAR- and TanDEM-X-derived DEMs. The vertical structure (RH100) is compared to the ALS LiDAR measurement. Ten zones are analyzed, considering different degrees of coverage and slopes. We achieved a root mean square error (RMSE) of 6.13 m for the ELM when comparing GEDI and LiDAR data and an RMSE of 7.14 m when comparing GEDI and TanDEM-X data. For some of the studied areas, these values were considerably smaller, with RMSE values even lower than 1 m. For the RH100 metric, an RMSE of 3.56 m was achieved when comparing GEDI and LiDAR data, but again with a minimum value of 2.09 m for one zone. The results show a clear relation to coverage and slope, especially for the latter. This work also evaluates the positional uncertainty of GEDI footprints, shifting them ±10 and ±5 m along and across the track of the satellite orbit and their intermediate angular positions. The outcomes reveal a strong tendency to obtain better results in the ELM when setting the footprint to 270° and displacing it within 10 m of its positional uncertainty in comparison with the LiDAR and TanDEM-X data.https://ieeexplore.ieee.org/document/9432712/Digital elevation models (DEMs)error analysisforestryuncertaintyvegetation mapping
spellingShingle Elia Quiros
Maria-Eugenia Polo
Laura Fragoso-Campon
GEDI Elevation Accuracy Assessment: A Case Study of Southwest Spain
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Digital elevation models (DEMs)
error analysis
forestry
uncertainty
vegetation mapping
title GEDI Elevation Accuracy Assessment: A Case Study of Southwest Spain
title_full GEDI Elevation Accuracy Assessment: A Case Study of Southwest Spain
title_fullStr GEDI Elevation Accuracy Assessment: A Case Study of Southwest Spain
title_full_unstemmed GEDI Elevation Accuracy Assessment: A Case Study of Southwest Spain
title_short GEDI Elevation Accuracy Assessment: A Case Study of Southwest Spain
title_sort gedi elevation accuracy assessment a case study of southwest spain
topic Digital elevation models (DEMs)
error analysis
forestry
uncertainty
vegetation mapping
url https://ieeexplore.ieee.org/document/9432712/
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AT mariaeugeniapolo gedielevationaccuracyassessmentacasestudyofsouthwestspain
AT laurafragosocampon gedielevationaccuracyassessmentacasestudyofsouthwestspain