Modeling Degraded Land Area in Province of Bangka Belitung Islands Based on Remote Sensing and Ecosystem Service to Support Sustainable Tourism

The Province of the Bangka Belitung Islands (Babel) has a unique natural beauty that supports sustainable tourism.Sustainable tourism is highly dependent on terrestrial ecosystems.Due to mining activities, the terrestrial ecosystem in Bangka Belitung can experience land degradation which is characterized by reduced land productivity, reduced land cover, and reduced soil carbon.Therefore, degraded terrestrial ecosystems need to be modelled to gain knowledge to support wisdom for sustainable tourism.This study aims to model degraded land by integrating remote sensing and ecosystem services based on the DIKW paradigm.Remote sensing data used are NDVI (MOD13Q1-coll6), land cover (ESA CCI), soil moisture (MERRA 2), rainfall (CHRIPS), evapotranspiration (MOD16A2), soil taxonomic unit (SoilGrids-USDA).Ecosystem services used are ecosystem services that regulate land productivity, provide forest and land cover, and provide soil carbon.These parameters will be synthesized for obtaining the proportion of degraded land to the total land of the study area based on Trends.Earth-Google Earth Engine.The results of the study will be evaluated using remote sensing data such as night-time lights, forest, and oil palm cover.This research is useful to support tourism in Babel Province which pays attention to sustainable life on land SDGs 15.3 Indonesia.