Výsledky vyhledávání - "clasificación por máxima verosimilitud"

Akademický článek

Evaluation of four classification algorithms of Landsat-8 and Sentinel-2 satellite images to identify forest cover in highly fragmented regions in Costa Rica

Autor: I.D. Ávila-Pérez, E. Ortiz-Malavassi, C. Soto-Montoya, Y. Vargas-Solano, H. Aguilar-Arias, C. Miller-Granados

Publikováno v: Revista de Teledetección, Vol 0, Iss 57, Pp 37-49 (2020)

Mapping of land use and forest cover and assessing their changes is essential in the design of strategies to manage and preserve the natural resources of a country, and remote sensing have been extensively used with this purpose. By comparing four cl

Externí odkaz: https://doaj.org/article/29d6d8abbf574090bb6d1b32843dbc62

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Evaluación de cuatro algoritmos de clasificación de imágenes satelitales Landsat-8 y Sentinel-2 para la identificación de cobertura boscosa en paisajes altamente fragmentados en Costa Rica

Autor: C. Soto-Montoya, H. Aguilar-Arias, Y. Vargas-Solano, I.D. Ávila-Pérez, C. Miller-Granados, E. Ortiz-Malavassi

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] Mapping of land use and forest cover and assessing their changes is essential in the design of strategies to manage and preserve the natural resources of a country, and remote sensing have been extensively used with this purpose. By comparing fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6995a81469dbeb0129d0b4e5291cc257
https://doi.org/10.4995/raet.2020.13340

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