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

Abstract

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