Abstract

Seagrass beds with various species are widespread in Indonesia, where one of them is on Parang Island. The important role of seagrass as a blue carbon sink makes the composition of species and carbon stocks of seagrass on Parang Island need to be mapped. PlanetScope image is one image that is expected to be able to map biophysical information on seagrass beds. The objectives of this study are (1) to map the distribution of composition of seagrass species and (2) to map the seagrass above-ground carbon stock (AGC) on Parang Island, Karimunjawa Islands using PlanetScope. The composition of seagrass species was obtained through multispectral classification (maximum likelihood, random forest, support vector machine) and AGC seagrass through empirical modeling. The class composition of seagrass species obtained was Cymodocea rotundata (Cr), Enhalus acoroides (Ea), Thalassia hemprichii (Th), and EaThCr, with the accuracy of 32.16%. Seagrass AGC empirical modeling has an R2 0.086. The DII23 water column corrected band has the highest accuracy for seagrass AGC mapping, which is 66.90% with a Standard Error of Estimate (SE) value of 4.78 gC/m2 . The total estimated AGC of seagrass found on Parang Island is 50.15 t C.

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