Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors

The Ice, Cloud and Land Elevation Satellite-2 (ICESat-2), an Earth-observing laser altimetry mission, is currently providing global elevation measurements. Geolocation validation confirms the altimeter’s ability to accurately position the measurement on the surface of the Earth and provides insight...

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Published in:Remote Sensing
Main Authors: Lori Magruder, Kelly Brunt, Michael Alonzo
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12213653
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spelling ftmdpi:oai:mdpi.com:/2072-4292/12/21/3653/ 2023-08-20T04:00:57+02:00 Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors Lori Magruder Kelly Brunt Michael Alonzo agris 2020-11-07 application/pdf https://doi.org/10.3390/rs12213653 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs12213653 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 21; Pages: 3653 ICESat-2 ATLAS geolocation laser altimetry Text 2020 ftmdpi https://doi.org/10.3390/rs12213653 2023-08-01T00:25:30Z The Ice, Cloud and Land Elevation Satellite-2 (ICESat-2), an Earth-observing laser altimetry mission, is currently providing global elevation measurements. Geolocation validation confirms the altimeter’s ability to accurately position the measurement on the surface of the Earth and provides insight into the fidelity of the geolocation determination process. Surfaces well characterized by independent methods are well suited to provide a measure of the ICESat-2 geolocation accuracy through statistical comparison. This study compares airborne lidar data with the ICESat-2 along-track geolocated photon data product to determine the horizontal geolocation accuracy by minimizing the vertical residuals between datasets. At the same location arrays of corner cube retro-reflectors (CCRs) provide unique signal signatures back to the satellite from their known positions to give a deterministic solution of the laser footprint diameter and the geolocation accuracy for those cases where two or more CCRs were illuminated within one ICESat-2 transect. This passive method for diameter recovery and geolocation accuracy assessment is implemented at two locations: White Sands Missile Range (WSMR) in New Mexico and along the 88°S latitude line in Antarctica. This early on-orbit study provides results as a proof of concept for this passive validation technique. For the cases studied the diameter value ranged from 10.6 to 12 m. The variability is attributed to the statistical nature of photon-counting lidar technology and potentially, variations in the atmospheric conditions that impact signal transmission. The geolocation accuracy results from the CCR technique and airborne lidar comparisons are within the mission requirement of 6.5 m. Text Antarc* Antarctica MDPI Open Access Publishing Remote Sensing 12 21 3653
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic ICESat-2
ATLAS
geolocation
laser altimetry
spellingShingle ICESat-2
ATLAS
geolocation
laser altimetry
Lori Magruder
Kelly Brunt
Michael Alonzo
Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors
topic_facet ICESat-2
ATLAS
geolocation
laser altimetry
description The Ice, Cloud and Land Elevation Satellite-2 (ICESat-2), an Earth-observing laser altimetry mission, is currently providing global elevation measurements. Geolocation validation confirms the altimeter’s ability to accurately position the measurement on the surface of the Earth and provides insight into the fidelity of the geolocation determination process. Surfaces well characterized by independent methods are well suited to provide a measure of the ICESat-2 geolocation accuracy through statistical comparison. This study compares airborne lidar data with the ICESat-2 along-track geolocated photon data product to determine the horizontal geolocation accuracy by minimizing the vertical residuals between datasets. At the same location arrays of corner cube retro-reflectors (CCRs) provide unique signal signatures back to the satellite from their known positions to give a deterministic solution of the laser footprint diameter and the geolocation accuracy for those cases where two or more CCRs were illuminated within one ICESat-2 transect. This passive method for diameter recovery and geolocation accuracy assessment is implemented at two locations: White Sands Missile Range (WSMR) in New Mexico and along the 88°S latitude line in Antarctica. This early on-orbit study provides results as a proof of concept for this passive validation technique. For the cases studied the diameter value ranged from 10.6 to 12 m. The variability is attributed to the statistical nature of photon-counting lidar technology and potentially, variations in the atmospheric conditions that impact signal transmission. The geolocation accuracy results from the CCR technique and airborne lidar comparisons are within the mission requirement of 6.5 m.
format Text
author Lori Magruder
Kelly Brunt
Michael Alonzo
author_facet Lori Magruder
Kelly Brunt
Michael Alonzo
author_sort Lori Magruder
title Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors
title_short Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors
title_full Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors
title_fullStr Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors
title_full_unstemmed Early ICESat-2 on-orbit Geolocation Validation Using Ground-Based Corner Cube Retro-Reflectors
title_sort early icesat-2 on-orbit geolocation validation using ground-based corner cube retro-reflectors
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/rs12213653
op_coverage agris
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source Remote Sensing; Volume 12; Issue 21; Pages: 3653
op_relation https://dx.doi.org/10.3390/rs12213653
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs12213653
container_title Remote Sensing
container_volume 12
container_issue 21
container_start_page 3653
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