Revealing the spatial variation in biomass uptake rates of Brazil’s secondary forests

Author:

Chen Na,Tsendbazar Nandin-Erdene,Requena Suarez Daniela,Silva-Junior Celso H.L.,Verbesselt JanORCID,Herold Martin

Funder

European Space Agency

National Council for Scientific and Technological Development

China Scholarship Council

Cambridge Conservation Initiative

CGIAR

WRI

University of Manchester

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference85 articles.

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2. A study of forest biomass estimates from lidar in the northern temperate forests of New England;Ahmed;Remote Sens. Environ.,2013

3. Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning;Alencar;Remote Sens. (Basel),2022

4. Forest biomass density across large climate gradients in northern South America is related to water availability but not with temperature;Álvarez-Dávila;PLoS One,2017

5. A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps;Araza;Remote Sens. Environ.,2022

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