Integrating GIS and Remote Sensing for Land Suitability Evaluation for Rice in Sleman Regency, Yogyakarta, Indonesia

Abstract Land evaluation is necessary for planning the sustainable use of land resources and providing higher production food crops. This study aims to apply geographic information system techniques remote sensing determine suitability classes rice in Sleman, Yogyakarta. Sentinel-2 satellite imagery was processed obtain a map field normalized difference vegetation index (NDVI). The class determined using yield predictions based on NDVI value. Validation check data productivity statistics from Department Agriculture Fisheries Sleman Regency. resulting compared with soil series data. results showed that corresponded developed Integrating Sentinel2 images GIS methods could potentially update quickly.