AmazonCRIME: a Geospatial Artificial Intelligence dataset and benchmark for the classification of potential areas linked to Transnational Environmental Crimes in the Amazon Rainforest

AmazonCRIME: a Geospatial Artificial Intelligence dataset and benchmark for the classification of potential areas linked to Transnational Environmental Crimes in the Amazon Rainforest

In this article the challenge of detecting areas linked to transnational environmental crimes in the Amazon rainforest is addressed using Geospatial Intelligence data, open access Sentinel-2 imagery provided by the Copernicus programme, as well as the cloud processing capabilities of the Google Eart...

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Bibliographic Details
Main Authors: Jairo J. Pinto-Hidalgo, Jorge A. Silva-Centeno
Format: Article
Language:English
Published: Universitat Politècnica de València 2022-01-01
Series:Revista de Teledetección
Subjects:
crímenes ambientales trasnacionales
selva amazónica
sentinel-2
inteligencia geoespacial
inteligencia artificial geoespacial
Online Access:https://polipapers.upv.es/index.php/raet/article/view/15710
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https://polipapers.upv.es/index.php/raet/article/view/15710

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