Application of geo-informatics and vegetation indices to estimate above-ground carbon sequestration

 

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Article Title: Application of geo-informatics and vegetation indices to estimate above-ground carbon sequestration
Authors: Teerawong L., Yannawut U.
Affiliation: 1Department of Physics, Faculty Science, Mahasarakham University, Khamriang, Kantarawichai, Mahasarakham, 44150, Thailand. 2Department of Biology, Faculty Science, Mahasarakham University, Khamriang, Kantarawichai, Mahasarakham, 44150, Thailand.
Abstract: This research aims to estimate above-ground carbon sequestration of orchards by using the data collected from Landsat 8 OLI. Regression equations are applied to study the relationship between the amount of above-ground carbon sequestration and vegetation indices from Landsat 8 OLI, in which the data was collected in 2015 in 3 methods: 1) Difference Vegetation Index (DVI), 2) Green Vegetation Index (GVI), and 3) Simple Ratio (SR). The results are as follows: 1) By DVI method, it results in the equation y = 0.3184e0.0482x and the coefficient of determination R² = 0.8457. The amount of above-ground sequestration’s calculation result is 213.176 tons per rai. 2) By GVI method, it results in the equation y = 0.2619e0.0489x and the coefficient of determination R²=0.8763. The amount of above-ground sequestration’s calculation result is 220.510 tons per rai. 3) By SR method, it results in the equation y = 0.8900e0.0469x and the coefficient of determination R² = 0.7748. The amount of above-ground sequestration’s calculation result is 234.229 tons per rai.
Keywords: Geo-informatics, remote sensing, above-ground carbon sequestration
*Correspondence: Teerawong Laosuwan, Department of Physics, Faculty Science, Mahasarakham University, Khamriang, Kantarawichai, Mahasarakham, 44150, Thailand, Tel/Fax. +66 4375 4379, email: teerawong@msu.ac.th