ANALYSIS OF ABOVE GROUND BIOMASS CARBON MANGROVE DYNAMICS BASED ON REMOTE SENSING TECHNOLOGY IN TIMBULSLOKO AND BEDONO, DEMAK, INDONESIA

Abstract

Mangrove forests in Timbulsloko and Bedono villages is very dynamic due to land conversion,
tidal flooding and land subsidence which are difficult to control. The use of remote sensing
technology to monitor mangrove forests has been widely carried out in Indonesia because it can
save energy, time and cost. This study aimed to determine the above ground biomass carbon in
2016, 2018, 2020 and 2022 based on remote sensing technology conducted with Sentinel-2
Satellite Imagery processing, and to analyze the dynamic distribution of above ground biomass
carbon based on geospatial analysis. The method used in this study can be divided into two
categories: satellite image data processing and field survey. The result showed that the area of
mangrove forests in Timbulsloko and Bedono from 2016 to 2022 has increased. The mangrove
species that have the highest above ground carbon biomass value are Avicennia marina followed
by Avicennia alba, Rhizophora apiculata, and Rhizophora mucronata. The increase in the area of
mangroves in this area is due to natural additions and artificial additions due to mangrove planting
conservation carried out by several parties and the awareness of the local residents to protect
mangroves.