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Hypersaline Tidal Flats Detection Using Deep Learning Over 37 Years of Landsat Data.

, , , , and . IGARSS, page 3337-3340. IEEE, (2023)

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Spectral Attributes Selection based on Data Mining for Remote Sensing Image Classification., , , , and . GEOINFO, page 155-161. MCTI/INPE, (2015)Detecting Clearcut Deforestation Employing Deep Learning Methods and SAR Time Series., , , , , , and . IGARSS, page 4520-4523. IEEE, (2021)Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado., , , , , , , , , and 1 other author(s). IGARSS, page 1078-1081. IEEE, (2020)Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest., , , , , and . IEEE Geosci. Remote. Sens. Lett., 18 (5): 771-775 (2021)Irregular Cellular Spaces: Supporting Realistic Spatial Dynamic Modeling over Geographical Databases., , and . GEOINFO, page 109-120. INPE, (2008)Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning., , , and . IGARSS, page 4990-4993. IEEE, (2023)Deep Learning and Cloudy Optical Time Series: A Case of Study with LSTM to Map LULC in Pantanal., , and . IGARSS, page 7179-7182. IEEE, (2023)Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series., , , , , and . Remote. Sens., 14 (1): 209 (2022)A Susceptible-Infected Model for Exploring the Effects of Neighborhood Structures on Epidemic Processes - A Segregation Analysis., , , , and . GEOINFO, page 85-96. MCT/INPE, (2011)Exploring a Deep Convolutional Neural Network and Geobia for Automatic Recognition of Brazilian Palm Swamps (Veredas) Using Sentinel-2 Optical Data., , , , , , , and . IGARSS, page 5401-5404. IEEE, (2021)