Sustainable Aquaculture: A Google Earth Engine Approach to Locating Solar-Powered Aeration Systems

Abstract

This study aims to identify alternative potential locations for implementing solar-powered technology, motivated by the goal of promoting cleaner energy use to support environmental sustainability and the economic development of local farming communities. Focused on the agricultural sector, this research examines three cities in Java, Indonesia-Purworejo, Pasuruan, and Banyuwangi-where Solar-Powered Aeration Systems are currently used in aquaculture ponds to enhance fish farming. A geospatial analysis was conducted using the Google Earth Engine platform and QGIS© to identify optimal locations for these systems. Satellite imagery data, including indices such as the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), and Normalized Difference Moisture Index (NDMI), was analyzed alongside slope data derived from Digital Elevation Models (DEM), land surface temperature, and precipitation data. By integrating these variables, this study identifies regions with conditions conducive to sustainable solar-powered aeration in aquaculture, aiming to optimize resource use and support sustainable economic growth within rural communities. The findings offer valuable insights into the application of solar energy in aquaculture, potentially informing site selection for similar initiatives in other regions.