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Land change modelling: moving beyond projections., , , , and . Int. J. Geogr. Inf. Sci., 27 (9): 1691-1695 (2013)Local Deforestation Patterns in Mexico - An Approach using Geographiccally Weighted Regression., and . GISTAM, page 54-60. SciTePress, (2015)Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery., , , and . Remote. Sens., 13 (18): 3600 (2021)Assessing land use/cover changes in Mexico: a wall-to-wall multidate GIS database., , , , , , , , and . IGARSS, page 3359-3361. IEEE, (2003)Inductive pattern-based land use/cover change models: A comparison of four software packages., , , , and . Environ. Model. Softw., (2014)An artificial neural networks approach to map land use/cover using Landsat imagery and ancillary data.. IGARSS, page 3498-3500. IEEE, (2003)Change Estimates by Map Comparison: A Method to Reduce Erroneous Changes Due to Positional Error.. Trans. GIS, 9 (4): 619-629 (2005)Assessment of Census and Remote Sensing Data to Monitor Irrigated Agriculture in Mexico., and . GISTAM, page 181-186. SCITEPRESS, (2024)A Suite of Tools for ROC Analysis of Spatial Models., , , , and . ISPRS Int. J. Geo Inf., 2 (3): 869-887 (2013)Comparing the structural uncertainty and uncertainty management in four common Land Use Cover Change (LUCC) model software packages., , , , and . Environ. Model. Softw., (2022)