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Discovered changes in rice occupation with satellite images based on random forest approach.

, , , , , , , , and . ICMLSC, page 86-97. ACM, (2020)

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Correction: Niculescu, S., et al. Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta. Remote Sensing 2020, 12(14), 2188., , , , , , , and . Remote. Sens., 12 (16): 2529 (2020)Editorial for Special Issue "Remote Sensing for Coastal and Aquatic Ecosystems' Monitoring and Biodiversity Management"., , and . Remote. Sens., 15 (3): 766 (February 2023)Editorial for Special Issue: "New Insights into Ecosystem Monitoring Using Geospatial Techniques"., , , , , , , , and . Remote. Sens., 14 (10): 2346 (2022)Mapping and Monitoring of Land Cover/Land Use (LCLU) Changes in the Crozon Peninsula (Brittany, France) from 2007 to 2018 by Machine Learning Algorithms (Support Vector Machine, Random Forest, and Convolutional Neural Network) and by Post-classification Comparison (PCC)., and . Remote. Sens., 13 (19): 3899 (2021)Application of Convolutional Neural Networks With Object-Based Image Analysis for Land Cover and Land Use Mapping in Coastal Areas: A Case Study in Ain Témouchent, Algeria., , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Synergy Between LiDAR, RADARSAT-2, and Spot-5 Images for the Detection and Mapping of Wetland Vegetation in the Danube Delta., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (8): 3651-3666 (2016)Existe-t-il une « mémoire » de l'espace en Roumanie post-communiste ?. Revue Internationale de Géomatique, 13 (4): 479-492 (2003)Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta., , , , , , , and . Remote. Sens., 12 (14): 2188 (2020)Mapping Crop Types Using Sentinel-2 Data Machine Learning and Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in Pays de Brest, Brittany, France., and . Remote. Sens., 14 (18): 4437 (2022)Discovered changes in rice occupation with satellite images based on random forest approach., , , , , , , , and . ICMLSC, page 86-97. ACM, (2020)