Evaluating SAR-optical sensor fusion for aboveground biomass estimation in a Brazilian tropical forest

Evaluating SAR-optical sensor fusion for aboveground biomass estimation in a Brazilian tropical forest

<p class="MDPI17abstract">The aim of the present study is to evaluate the potential of C-band SAR data from the Sentinel-1/2 instruments and machine learning algorithms for the estimation of forest above ground forest biomass (AGB) in a high-biomass tropical ecosystem. This study was...

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Bibliographic Details
Main Authors:	Aline Bernarda Debastiani, Carlos Roberto Sanquetta, Ana Paula Dalla Corte, Naiara Sardinha Pinto, Franciel Eduardo Rex
Format:	Article
Language:	English
Published:	‘Marin Drăcea’ National Research-Development Institute in Forestry 2019-12-01
Series:	Annals of Forest Research
Subjects:	amazon forest, artificial intelligence, sentinel 1, sentinel 2, agb, carbon
Online Access:	https://www.afrjournal.org/index.php/afr/article/view/1267

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