Classificação de estágios sucessionais da Floresta Estacional Semidecídua utilizando dados Sentinel-1-2 e SRTM no Google Earth Engine
Vinícius Lorini da Costa,
Marcos Wellausen Dias de Freitas
Abstract:Foram utilizados dados de sensoriamento remoto adquiridos pelos sensores MSI (Multispetral Instrument) do satélite Sentinel-2 e SAR (Synthetic Aperture Radar) Sentinel-1, dados de textura GLCM (Grey Level Co-Ocurrence Matrix) derivados das imagens Sentinel-1 e dados geomorfométricos derivados de imagens SRTM (Shuttle Radar Topography Mission). Os dados compuseram diferentes grupos de entrada para os classificadores de aprendizagem de máquina Support Vector Machine (SVM), Classification and Regression Tree (CAR… Show more
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