Mapping of Dry Marginal Agricultural Land Occupation and Change Using Landsat-8 and Sentinel-2

The abundance of dry marginal agricultural land in Indonesia provides an alternative land resource for crop production. This study uses Landsat 8 and Sentinel-2A satellite imagery to map the spatial extent of such land and to interpret the results obtained to track changes in its use. Supervised classification is used for image processing and the production of land-cover maps. The classified maps produced and the spatial extent of each class are compared to existing maps and statistical data. Regional development by local governments has led to the occupation of a greater area of dry marginal agricultural land, and from 2000 to 2019 about 49% of such land has been occupied and converted to productive land use. This change can be identified as an increase in plantation area and the conversion of non-irrigated or irrigated areas to pavement area. Both Landsat 8 and Sentinel-2A imagery can potentially be used to map the spatial extent of dry marginal agricultural land and the maps produced can be useful for updating incomplete statistical records © 2021 School of Science, IHU. All rights reserved