Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning

Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning

Current vegetation indices and biophysical parameters derived from optical satellite data for forest monitoring are widely used in various applications but can be limited by atmospheric effects like clouds. Synthetic aperture radar (SAR) data can offer insightful and systematic forest monitoring wit...

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Bibliographic Details
Main Authors: Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych
Format: Article
Language:English
Published: Taylor & Francis Group 2025-04-01
Series:Big Earth Data
Subjects:
SAR
Sentinel-1
vegetation index
time series
AutoML
machine learning
Online Access:https://www.tandfonline.com/doi/10.1080/20964471.2025.2459300
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https://www.tandfonline.com/doi/10.1080/20964471.2025.2459300

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