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

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

<p>1. Tropical forests are subject to diverse deforestation pressures while 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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Ball, JGC, Petrova, K, Coomes, DA, Flaxman, S
Format:	Journal article
Język:	English
Wydane:	Wiley 2022

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