ESTIMATION OF MANGROVE FOREST CARBON STOCK USING THE VEGETATION INDEX METHOD IN PADANG PARIAMAN DISTRICT

  • Insanul Putri Student of the D3 Remote Sensing Technology Study Program
  • Yudi Antomi Lecturer Study Program D3 Remote Sensing Technology
  • Febriandi Febriandi Lecturer Study Program D3 Remote Sensing Technology
  • Azhari Syarief Lecturer Study Program D3 Remote Sensing Technology
Keywords: Biomass, Landsat 8, Carbon Stocks, NDVI

Abstract

Padang Pariaman Regency is categorized as a coastal district because it has a coastline of 42.11 km. Padang Pariaman Regency has resources, one of which is mangrove forests. Mangrove forests are scattered in several sub-districts in Padang Pariaman Regency. This study aims to determine the estimated carbon stock value of mangrove forests in Padang Pariaman District using the Geographic Information System and Landsat 8 imagery, and to determine the accuracy of the carbon stock estimation results from the Landsat 8 imagery vegetation index. The method used in this study isNormalized Difference Vegetation Index (NDVI).  Based on the estimation results of the above surface biomass values ​​obtained from the calculation of the correlation and regression equations in band 6 Landsat 8 imagery shows that the estimation results of the above surface biomass of mangrove forests in Padang Pariaman District obtain a maximum value of 644.85 tons/ha and a minimum value of 487, 92 tons/ha to obtain an estimated carbon stock value of 46% of the biomass value and an estimated maximum carbon stock value of 296.63 tons/ha and a minimum of 224.44 tons/ha.

Published
2023-06-28
How to Cite
Putri, I., Antomi, Y., Febriandi, F., & Syarief, A. (2023). ESTIMATION OF MANGROVE FOREST CARBON STOCK USING THE VEGETATION INDEX METHOD IN PADANG PARIAMAN DISTRICT. International Remote Sensing Applied Journal, 4(1), 21-24. https://doi.org/10.24036/irsaj.v4i1.43

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