QGIS Implementation For Assesing Stock Estimation Of Blue Carbon On Seagrass Ecosystem (A Case Study Approach)

Abstract

Seagrass ecosystems are known to be able to absorb and store carbon both in vegetation and in the substrates where seagrasses grow. The value of these carbon reserves varies depending on the characteristics, conditions, and extent of seagrass ecosystems, but seagrass ecosystem areas have declined globally due to the threat of development that is not environmentally friendly. By those reason, this research purpose for determining seagrass ecosystem by measuring the blue carbon using Lyzenga Algorithm in QGIS Application. The value of these carbon reserves varies depending on the characteristics, conditions, and extent of seagrass ecosystems, but seagrass ecosystem areas have declined globally due to the threat of development that is not environmentally friendly. The method used is purposive sampling at a predetermined station and retrieving image data from Sentinel-2 to measure the area which is further analyzed descriptively to assume the value of carbon uptake in Bara Beach, South Sulawesi, whose carbon sequestration value on the coast of Bara Beach has an average carbon stock in the seagrass type Enhalus acoroides of 391.95 gC/m2, Halodule uninervis at 43.33 gC/m2 and Thalassia hempricii at 303.23 gC/m2. The estimated carbon uptake value in Bara Beach with a coastal area according to Qgis analysis of 41,453 ha is 15,541 MgC from 12.6 ha of classified seagrass ecosystem area has an unhealthy or moderate quality level with an overall ecosystem density percentage of 30.44%.