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Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data., , , , , and . CoRR, (2021)Integration of Worldview-2 and Lidar Data to MAP a Subtropical Forest Area: Comparison of Machine Learning Algorithms., , , and . IGARSS, page 6207-6210. IEEE, (2018)Monitoring Wildfires in the Northeastern Peruvian Amazon Using Landsat-8 and Sentinel-2 Imagery in the GEE Platform., , , , , , , , and . ISPRS Int. J. Geo Inf., 9 (10): 564 (2020)Mapping Three Decades of Changes in the Tropical Andean Glaciers Using Landsat Data Processed in the Earth Engine., , , , , , , , and . Remote. Sens., 14 (9): 1974 (2022)Automated cloud coverage analysis with Brazil Data Cube., , , , , , and . GEOINFO, page 204-209. MCTIC/INPE, (2021)Object-based image analysis for urban land cover classification in the city of Campinas - SP, Brazil., , , , , , and . JURSE, page 1-4. IEEE, (2015)Joint VHR - LIDAR classification framework in urban areas using a priori knowledge and post processing shape optimization., , , , and . JURSE, page 93-96. IEEE, (2011)A Comparative Assessment of Machine-Learning Techniques for Land Use and Land Cover Classification of the Brazilian Tropical Savanna Using ALOS-2/PALSAR-2 Polarimetric Images., , , , and . Remote Sensing, 11 (13): 1600 (2019)Foreword to the Special Issue on Human Settlement Observation and Monitoring from Space., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (10): 3995-3997 (2014)Modeling the urban evolution of land use transitions using cellular automata and logistic regression., , , , and . IGARSS, page 1564-1566. IEEE, (2003)