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Local spatial structure of forest biomass and its consequences for remote sensi...

Réjou-Méchain, Maxime; Muller-Landau, Helene C.; Detto, Matteo; Thomas, Sean C.; Le-Toan, Thuy; Saatchi, Sassan S.; Barreto-Silva, Juan Sebastian

Advances in forest carbon mapping have the potential to greatly reduce uncertainties in the global carbon budget and to facilitate effective emissions mitigation strategies such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation). Though broad-scale mapping is based primarily on remote sensing data, the accuracy of resulting forest carbon stock estimates depends critically on the quality of ...

Data: 2020   |   Origem: Oasisbr

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