Aboveground biomass estimates over Brazilian savannas using hyperspectral metrics and machine learning models: experiences with Hyperion/EO-1

Aboveground biomass estimates over Brazilian savannas using hyperspectral metrics and machine learning models: experiences with Hyperion/EO-1

We investigated the potential of hyperspectral remote sensing to estimate aboveground biomass (AGB) over the Brazilian savannas (Cerrado), the second-largest source of carbon emissions in Brazil. For this purpose, a Hyperion/Earth Observing-1 (EO-1) image was collected in the dry season at the Ecolo...

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Bibliographic Details
Main Authors: Aline Daniele Jacon, Lênio Soares Galvão, Ricardo Dalagnol, João Roberto dos Santos
Format: Article
Language:English
Published: Taylor & Francis Group 2021-10-01
Series:GIScience & Remote Sensing
Subjects:
hyperspectral remote sensing
aboveground biomass (agb)
savannas
cerrado
machine learning
hyperion/eo-1
Online Access:http://dx.doi.org/10.1080/15481603.2021.1969630

Internet

http://dx.doi.org/10.1080/15481603.2021.1969630

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