Use of Landsat-8 images for mapping coffee plantations in the surrounding municipalities of the Caparaó National Park
DOI:
https://doi.org/10.19180/1809-2667.v20n12018p6-17Keywords:
Geoprocessing, Remote sensing, Digital classification, Coffee, Land managementAbstract
The objective was to map the coffee plantations in the municipalities around the Caparaó National Park (PARNA Caparaó) using images from the Operational Land Imager sensor - Landsat-8, referring to June 2014. The mapping was carried out in Geographic Information System. The algorithm used was that of maximum likelihood. The quality of the classification was assessed by the overall performance and Kappa indices. It was found that the coffee plantations in the surrounding municipalities of the PARNA Caparaó occupy an area of 594.52 km². The municipalities that presented the largest areas with coffee were Iúna-ES (123.47 km²) and Espera Feliz-MG (115.04 km²). The values are consistent with overall performance of 0.647 and Kappa of 0.216.Downloads
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