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Combining Time Series Features and Data Mining to Detect Land Cover patterns: a Case Study in Northern Mato Grosso State, Brazil.

, , , and . GEOINFO, page 174-185. MCTI/INPE, (2015)

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Hierarchical Classification of Brazilian Savanna Physiognomies Using Very High Spatial Resolution Image, Superpixel and Geobia., , , , and . IGARSS, page 3716-3719. IEEE, (2019)A platform for land use and land cover data integration and trajectory analysis., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)A Landsat-based atlas of monthly burned area for Portugal, 1984-2021., , , and . Int. J. Appl. Earth Obs. Geoinformation, (May 2023)Combining Time Series Features and Data Mining to Detect Land Cover patterns: a Case Study in Northern Mato Grosso State, Brazil., , , and . GEOINFO, page 174-185. MCTI/INPE, (2015)Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah., , , , , , , and . Pattern Recognit. Lett., (2021)TerraClass x MapBiomas: Comparative assessment of legend and mapping agreement analysis., , , , , , and . GEOINFO, page 295-300. MCTIC/INPE, (2017)Stmetrics: A Python Package for Satellite Image Time-Series Feature Extraction., , , , , , , and . IGARSS, page 2061-2064. IEEE, (2020)