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Assessing the Wall-to-Wall Spatial and Qualitative Dynamics of the Brazilian Pasturelands 2010-2018, Based on the Analysis of the Landsat Data Archive.

, , , , and . Remote. Sens., 14 (4): 1024 (2022)

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Next Generation Mapping: Combining Deep Learning, Cloud Computing, and Big Remote Sensing Data., , , , and . Remote. Sens., 11 (23): 2881 (2019)Parallel Processing of Remote Sensing Time Series Applied to Land-Use and Land-Cover Classification., , , , and . J. Inf. Data Manag., (2021)Improving Pasture Mapping and Monitoring in Support of Net Zero Deforestation in Brazil., , , , , and . IGARSS, page 2603-2605. IEEE, (2023)Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine., , , , , , , , , and 23 other author(s). Remote. Sens., 12 (17): 2735 (2020)Assessing the Wall-to-Wall Spatial and Qualitative Dynamics of the Brazilian Pasturelands 2010-2018, Based on the Analysis of the Landsat Data Archive., , , , and . Remote. Sens., 14 (4): 1024 (2022)Monitoring the brazilian pasturelands: A new mapping approach based on the landsat 8 spectral and temporal domains., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2017)Assessing the Spatial and Occupation Dynamics of the Brazilian Pasturelands Based on the Automated Classification of MODIS Images from 2000 to 2016., and . Remote Sensing, 10 (4): 606 (2018)An Efficient Solution to Generate Meta-features for Classification with Remote Sensing Time Series., , , , and . GEOINFO, page 46-57. MCTIC/INPE, (2020)Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest., , , , , and . IEEE Geosci. Remote. Sens. Lett., 18 (5): 771-775 (2021)