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This dataset contains multi-temporal land use/land cover (LULC) maps and agroforestry land suitability layers derived from remote sensing and geospatial multi-criteria analysis. LULC maps were generated using Landsat imagery, and suitability analysis based on soil, climate, and topographic parameters. Study Area Pokhara Metropolitan City, Nepal Coordinate Reference System (CRS) WGS 84 / UTM Zone 44N EPSG: 32645 Spatial Resolution LULC maps: 30 m *30 m Suitability layers: 10 m *10 m Data Sources Landsat imagery used for LULC classification Year Landsat Sensor Acquisition Date Path/Row Resolution Bands Used 1990 4-5 TM C1 April 16, 1990 142/40 30 m 1,2,3,4,5,6 and 7 2000 7 ETM+ C1 December 15, 2000 142/40 30 m 1,2,3,4 and 5 2010 4-5 TM C1 December 3, 2010 142/40 30 m 1,2,3,4,5,6 and 7 2021 OLI/TIRS C1 October 14, 2021 142/40 30 m 1,2,3,4,5,6 and 7 Methodology (Brief) Land use/land cover (LULC) classification was performed using a random forest algorithm. Agroforestry suitability was analyzed using multi-criteria decision analysis incorporating soil, topographic and climate parameters following the land evaluation guidelines of Food and Agriculture Organization (FAO) of the United Nations for agroforestry suitability assessment. Data Variables LULC classes : 1= Forest, 2=Water, 3= Urban/Built up, 4=Agriculture,5= Barren/riverbed, 6= Swamp Land suitability classes for agroforestry: 3=S1=Highly suitable, 2=S2=Moderately suitable Accuracy LULC Year Validation Points Overall Accuracy (%) Kappa Coefficient 1990 85 81.18 0.745 2000 154 81.82 0.80 2010 167 85.63 0.81 2021 175 87.26 0.84 File Formats GeoTIFF (.tif)