Fusion of sentinel-1a and sentinel-2A data for land cover mapping: A case study in the lower Magdalena region, Colombia

Land cover–land use (LCLU) classification tasks can take advantage of the fusion of radar and optical remote sensing data, leading generally to increase mapping accuracy. Here we propose a methodological approach to fuse information from the new European Space Agency Sentinel-1 and Sentinel-2 imager...

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Autores:

Tipo de recurso:

Fecha de publicación:

2017

Institución:

Universidad del Rosario

Repositorio:

Repositorio EdocUR - U. Rosario

Idioma:

eng

OAI Identifier:

oai:repository.urosario.edu.co:10336/22391

Acceso en línea:

https://doi.org/10.1080/17445647.2017.1372316
https://repository.urosario.edu.co/handle/10336/22391

Palabra clave:

Colombia
Data fusion
Land cover mapping
Segmentation
Sentinel-1
Sentinel-2

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