DOI: https://doi.org/10.14710/geoplanning.3.1.1-14

INCREASING ACCURACY VALUE IN THE ESTIMATES OF CARBON STOCK BY USING VEGETATION INDEX FROM ALOS AVNIR 2 SATELLITE IMAGERY

*Irland Fardani  -  Bandung Islamic University (UNISBA), Indonesia
Soni Darmawan  -  National Institute of Technology, Indonesia
Dudung M Hakim  -  Bandung Institute of Technology, Indonesia
Agung Budi Harto  -  Bandung Institute of Technology, Indonesia
Ketut Wikantika  -  Bandung Institute of Technology, Indonesia

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Abstract
The existence of carbon stock began to be noticed by the public, especially after the global warming phenomenon, because one of the causes of global warming is the increasing amount of carbon in the atmosphere. There are several approaches that can be used to calculate carbon stocks, one of which is through remote sensing. In the study of carbon stocks in Meru Betiri National Park Indonesia, the vegetation index from ALOS-AVNIR satellite imagery is used to estimate carbon reserves by finding an exact equation. If it uses the Modified Soil Adjusted Vegetation Index (MSAVI) only, the correlation value is 0.49. Meanwhile, if Infrared Percentage Vegetation Index (IPVI) is used, the correlation value is 0.47. However, if some vegetation indices such as Soil-Adjusted Vegetation Index (SAVI), Normalize Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI) are combined, the correlation value of the equation is 0.63. The comparison showed that by combining several variables of vegetation indices will increase the value of the correlation equation significantly.
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Keywords: Accuracy Value; Carbon Stock; Vegetation Index; ALOS AVNIR; Meru Betiri

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Section: Original Research
Language : EN
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