When implementing REDD+ projects, measurement, reporting, and verification (MRV) is particular emphasized. For measurement and verification, combination of ground surveys and remote sensing technology is required for estimating biomass with high accuracy. In this study, we tried to estimate carbon stock changes of mangrove forests using chronological satellite imageries and airborne LiDAR located in the South Sumatra state, Indonesia. As a result, the biomass and the amount of carbon stock changes can be estimated with high accuracy by combining the spatial volume based on airborne LiDAR data with the tree species classification based on satellite imagery. The result showed that combining airborne LiDAR data with satellite imagery is one of the effective methods of monitoring for REDD+ projects.
