Evaluation of a Statistical Approach for Extracting Shallow Water Bathymetry Signals from ICESat-2 ATL03 Photon Data

Evaluation of a Statistical Approach for Extracting Shallow Water Bathymetry Signals from ICESat-2 ATL03 Photon Data

In this study we present and validate a simple empirical method to obtain bathymetry profiles using the geolocated photon data from the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) mission, which was launched by NASA in September 2018. The satellite carries the Advanced Topographic Laser Al...

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Veröffentlicht in:Remote sensing (Basel, Switzerland) Switzerland), 2021-09, Vol.13 (17), p.3548
Hauptverfasser: Ranndal, Heidi, Sigaard Christiansen, Philip, Kliving, Pernille, Baltazar Andersen, Ole, Nielsen, Karina
Format: Artikel
Sprache:eng
Schlagworte:
Air-water interface
ATL03
Bathymeters
Bathymetry
Datasets
Deviation
Echo sounding
Elevation
Estimates
ICESat-2
Laser altimeters
Learning algorithms
Lidar
Machine learning
Median (statistics)
Ocean bottom
Photogrammetry
Photons
Remote sensing
Satellites
Shallow water
Sisimiut
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Beschreibung
Zusammenfassung:In this study we present and validate a simple empirical method to obtain bathymetry profiles using the geolocated photon data from the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) mission, which was launched by NASA in September 2018. The satellite carries the Advanced Topographic Laser Altimeter System (ATLAS), which is a lidar that can detect single photons and calculate their bounce point positions. ATLAS uses a green laser, causing some of the photons to penetrate the air–water interface. Under the right conditions and in shallow waters (
ISSN:2072-4292
2072-4292
DOI:10.3390/rs13173548