A COMPARATIVE STUDY OF ADVANCED LAND USE/LAND COVER CLASSIFICATION ALGORITHMS USING SENTINEL-2 DATA

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4. Land use land cover change detection using multi-temporal Landsat imagery in the North of Congo Republic: a case study in Sangha region L. Bill Donatien et al. 10.1080/10106049.2024.2425184
5. Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions M. Moharram & D. Sundaram 10.1016/j.neucom.2023.03.025
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8. Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 Observations T. Stańczyk et al. 10.3390/rs15235576
9. Survey on Land Use/Land Cover (LU/LC) change analysis in remote sensing and GIS environment: Techniques and Challenges S. MohanRajan et al. 10.1007/s11356-020-09091-7
10. Application of artificial neural network (ANN) for investigation of the impact of past and future land use–land cover change on streamflow in the Upper Gilgel Abay watershed, Abay Basin, Ethiopia A. Eshetie et al. 10.1007/s13201-023-02003-3