Directions for Mangrove Forest Rehabilitation Based on Damaged Mangrove Mapping using a Remote Sensing Approach

Abstract

Numerous mangrove forests in Indonesia have suffered significant losses. To develop rehabilitation programs, it is essential to conduct a spatial study to map the damaged mangroves. However, few research efforts have focused on mapping damaged mangroves using a canopy cover spatial model that refers to MoEF regulation criteria. An estimation of canopy cover using vegetation indices based on the regulation was assessed across the Coastal Area of Bekasi Regency, where most of the mangroves have been largely converted into ponds and agricultural land. The modeling results suggest that the NDMI is more effective in detecting damage to mangroves in the intertidal zone. The study’s findings suggest directions for planting in mangrove rehabilitation efforts. The results of this study could be promising for monitoring damaged mangroves and implementing comprehensive rehabilitation programs in the Bekasi Regency and similar areas.