An Acad Bras Cienc 2021 16;93(3):e20201278. Epub 2021 Jun 16.
Programa de Pós-Graduação em Sensoriamento Remoto, Universidade Federal do Rio Grande do Sul, Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia, Av. Bento Gonçalves, 9500, Setor 5, Prédio 44202, 91501-970 Porto Alegre, RS, Brazil.
This study aimed to classify the homogeneous regions of vegetation cover, which occur in Rio Grande do Sul, formed by clustering of pixels with same pattern of temporal variability of the Normalized Difference Vegetation Index (NDVI) of AVHRR GIMMS and MODIS series and to compare their temporal dynamics. We use K means cluster analysis for defining homogeneous regions, based on the temporal variability of GIMMS (8 km spatial resolution) and MODIS (1 km spatial resolution) NDVI data sets, using monthly images mean from 2000 to 2008 (overlapping period); and we analyzed the annual pattern of NDVI. Accuracy assessment was done with Landsat images. Read More