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AmazonCRIME: un conjunto de datos y punto de referencia de Inteligencia Artificial Geoespacial para la clasificación de áreas potenciales vinculadas a Crímenes Ambientales Transnacionales en la Selva Amazónica

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AmazonCRIME: un conjunto de datos y punto de referencia de Inteligencia Artificial Geoespacial para la clasificación de áreas potenciales vinculadas a Crímenes Ambientales Transnacionales en la Selva Amazónica

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Pinto-Hidalgo, JJ.; Silva-Centeno, JA. (2022). AmazonCRIME: un conjunto de datos y punto de referencia de Inteligencia Artificial Geoespacial para la clasificación de áreas potenciales vinculadas a Crímenes Ambientales Transnacionales en la Selva Amazónica. Revista de Teledetección. 0(59):1-21. https://doi.org/10.4995/raet.2022.15710

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/180422

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Título: AmazonCRIME: un conjunto de datos y punto de referencia de Inteligencia Artificial Geoespacial para la clasificación de áreas potenciales vinculadas a Crímenes Ambientales Transnacionales en la Selva Amazónica
Otro titulo: AmazonCRIME: a Geospatial Artificial Intelligence dataset and benchmark for the classification of potential areas linked to Transnational Environmental Crimes in the Amazon Rainforest
Autor: Pinto-Hidalgo, Jairo J. Silva-Centeno, Jorge A.
Fecha difusión:
Resumen:
[EN] 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 ...[+]


[ES] En este artículo es abordado el desafío de detectar áreas vinculadas con crímenes ambientales trasnacionales en la selva amazónica usando datos de Inteligencia Geoespacial, imágenes de libre acceso Sentinel-2 ...[+]
Palabras clave: Crímenes ambientales trasnacionales , Selva amazónica , Sentinel-2 , Inteligencia geoespacial , Inteligencia Artificial Geoespacial , Transnational Environmental Crimes , Amazon rainforest , Geospatial Intelligence , Geospatial Artificial Intelligence
Derechos de uso: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Fuente:
Revista de Teledetección. (issn: 1133-0953 ) (eissn: 1988-8740 )
DOI: 10.4995/raet.2022.15710
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/raet.2022.15710
Código del Proyecto:
info:eu-repo/grantAgreement/CNPq//190032/2017-0/
Agradecimientos:
Agradecemos al Programa de Posgraduación en Ciencias Geodésicas de la Universidad Federal de Paraná y el apoyo financiero al Consejo Nacional de Desarrollo Científico y Tecnológico de Brasil (CNPq) (190032/2017-0).[+]
Tipo: Artículo

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