Analysis of Carbon Stock on Land Surface in Jasinga District Using The Invest Model
DOI:
https://doi.org/10.53840/ejpi.v12i2.284Abstract
This study examines changes in carbon stock and land cover in the Jasinga District from 2020 to 2023. The Reclassify method was used to classify land cover, while the InVEST software was used to estimate carbon stock. The research results show a consistent decrease in carbon stocks every year: from 33,641,249 tons in 2020 to 31,519,223 tons in 2023. Validation of land cover data shows an accuracy level of 84%, with an AUC/ROC value of 0.722 (appropriate category) and a Kappa test value of 80% (high level of reliability). This study examines changes in carbon stocks and land cover in the Jasinga District from 2020 to 2023. The Reclassify method was used to classify land cover, while the InVEST software was used to estimate carbon stocks. The results show a consistent annual decrease in carbon stocks, from 33,641,249 tons in 2020 to 31,519,223 tons in 2023. Validation of land cover data shows a level of accuracy of 84%, with an AUC/ROC value of 0.722 (categorized as good) and a Kappa test value of 80% (high reliability).
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