Remote Sensing and GIS Approaches to Carbon Emission Measurement as Related to Land Use Change in Phu Giao, Binh Duong Province, Vietnam

Land use in the Phu Giao district of Binh Duong province, Vietnam, has undergone significant changes recently, mainly as a result of the province’s economic growth. Corresponding changes in carbon stocks are frequently linked to changes in land use. We examined how changes in land-use categories between 2000 and 2020 affected the amount of carbon stored in vegetation and soil. This study quantified changes in vegetation (biomass) carbon storage, and soil organic carbon (SOC) as land use, land cover change (LULCC) over a 20-year period from 2000 to 2020 using remote sensing techniques, geographic information systems (GIS), and guidelines from the Intergovernmental Panel on Climate Change (IPCC). In details, an algorithm used Landsat time series data to analyze the change in land use. We applied the Random Forest (RF) model in R using variables extracted from Landsat 7 and 8 images and digital data (DEM) from 2000 to 2020 to build land-use maps for 2000 and 2020, then calculate changes in land use during the study period. Next, based on the IPCC guidelines, we calculated each land use type’s carbon emission generated displacement. The results demonstrate that carbon emissions from the land use change process were negligible within the 20-year period, and forest loss causes the majority of carbon emissions in Phu Giao, with the largest source carbon from the conversion of forests to cropland, which accounted for 0.80 Tg C of net emissions.