Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning

Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning

Cover crops play a pivotal role in mitigating climate change by bolstering carbon sequestration through biomass production and soil integration. However, current methods for quantifying cover crop biomass lack spatial precision and objectivity. Thus, our research aimed to devise a remote-sensing-bas...

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Bibliographic Details
Main Authors: Hugo do Nascimento Bendini, Rémy Fieuzal, Pierre Carrere, Harold Clenet, Aurelie Galvani, Aubin Allies, Éric Ceschia
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
cover crops biomass
remote sensing
time series
random forest
artificial intelligence
low carbon practices
Online Access:https://www.mdpi.com/2072-4292/16/5/834

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