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Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation

2021-12-15

Abstract excerpt

<h4> A bstract </h4> Tropical forests are subject to diverse deforestation pressures but their conservation is essential to achieve global climate goals. Predicting the location of deforestation is challenging due to the complexity of the natural and human systems involved but accurate and timely forecasts could enable effective planning and on-the-ground enforcement practices to curb deforestation rates. New c...

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Literature Corpus work
42953956-8000-5c9c-9528-9ec77621a985
DOI
10.1101/2021.12.14.472442
Open publication

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Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestationDOI 10.1101/2021.12.14.472442
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