Automatic deforestation detection with deep learning: the case of Masoala National Park

Domain:

environment and energygeospatial

Record type:

paper

Creator:

AkiMotNep

Editor:

MITSysUniSch

Publisher:

CCSD

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irit.fr International audience Large portions of territories are affected by deforestation. We aim to propose an approach based on convolutional neural networks to detect change in tropical forests. Our goal is to propose a model that requires minimal preprocessing and handcrafted features. We will test this approach with images from the Masoala National Park in Madagascar.

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Automatic deforestation detection with deep learning: the case of Masoala National Park

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