Geospatial information in local planning decisions: land cover and its change as support for optimal spatial development in Prieto Diaz, Sorsogon (Philippines)

Abstract This study addresses the lack of updated land cover and land cover change data in Prieto Diaz, Sorsogon (Philippines), while also identifying land use policy clusters and formulating spatial development options to guide the local planning. Land cover analysis was conducted using remote sensing techniques via Google Earth Engine and spatial analysis tools in QGIS. Year-on-year data from 2017 to 2022 revealed significant increases in tree cover within mangrove areas and in flooded vegetation across seagrass zones. The gradual expansion of built-up areas in urban and urbanizing barangays highlighted a noticeable rural-urban population shift and marked zones where built development − whether planned or unplanned − is likely to occur. Based on these findings, four development clusters were identified: Agroforestry, Agriculture, Commercial-Residential, Conservation. The three spatial development options were subsequently formulated and presented to the Local Development Council, from which participants then selected the Conservation-Enterprise option as the spatial development strategy most likely to realize their town’s vision. This approach centers focus on the interdependence between the local economy and livelihood on the stability of the town’s environment, thereby reinforcing incentives for environmental sustainability.