A Low-Cost and Robust Landsat-Based Approach to Study Forest Degradation and Carbon Emissions from Selective Logging in the Venezuelan Amazon

A Low-Cost and Robust Landsat-Based Approach to Study Forest Degradation and Carbon Emissions from Selective Logging in the Venezuelan Amazon

Selective logging in the tropics is a major driver of forest degradation by altering forest structure and function, including significant losses of aboveground carbon. In this study, we used a 30-year Landsat time series (1985–2015) to analyze forest degradation and carbon emissions due to selective...

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Bibliographic Details
Main Authors: Carlos Pacheco-Angulo, Wenseslao Plata-Rocha, Julio Serrano, Emilio Vilanova, Sergio Monjardin-Armenta, Alvaro González, Cristopher Camargo
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
carbon
climate change
forest degradation
Landsat
REDD+
selective logging
Online Access:https://www.mdpi.com/2072-4292/13/8/1435

Internet

https://www.mdpi.com/2072-4292/13/8/1435

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