Above-Ground Biomass Estimation Based on Multi-Angular <italic>L</italic>-Band Measurements of Brightness Temperatures

Above-Ground Biomass Estimation Based on Multi-Angular <italic>L</italic>-Band Measurements of Brightness Temperatures

There is growing interest in using passive microwave observations and vegetation optical depth (VOD) to study the above-ground biomass (AGB) and carbon stocks evolution. <italic>L</italic>-band observations, in particular, have been shown to be very sensitive to AGB. Here, thanks to the...

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Bibliographic Details
Main Authors: Julio Cesar Salazar-Neira, Arnaud Mialon, Philippe Richaume, Stephane Mermoz, Yann H. Kerr, Alexandre Bouvet, Thuy Le Toan, Simon Boitard, Nemesio J. Rodriguez-Fernandez
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Above-ground biomass (AGB)
forest biomass
<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$L$</tex-math> </inline-formula> </named-content>-band
machine learning
neural networks
passive microwaves (PMWs)
Online Access:https://ieeexplore.ieee.org/document/10149509/

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https://ieeexplore.ieee.org/document/10149509/

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