Correcting GEDI Water Level Estimates for Inland Waterbodies Using Machine Learning

Correcting GEDI Water Level Estimates for Inland Waterbodies Using Machine Learning

The Global Ecosystem Dynamics Investigation (GEDI) LiDAR on the International Space Station has acquired more than 35 billion shots globally in the period between April 2019 and August 2021. The acquired shots could offer a significant database for the measure and monitoring of inland water levels o...

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Bibliographic Details
Main Authors: Ibrahim Fayad, Nicolas Baghdadi, Jean-Stéphane Bailly, Frédéric Frappart, Núria Pantaleoni Reluy
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
GEDI
LiDAR
great lakes
water levels correction
random forest
Online Access:https://www.mdpi.com/2072-4292/14/10/2361

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