Skip to the main content

Original scientific paper

https://doi.org/10.30765/er.38.3.7

Application of geo-informatics engineering to estimate above-ground carbon sequestration

Teerawong Laosuwan ; Department of Physics, Faculty Science, Mahasarakham University, Khamriang, Kantarawichai, Mahasarakham, Thailand
Yannawut Uttaruk ; Department of Biology, Faculty Science, Mahasarakham University, Khamriang, Kantarawichai, Mahasarakham, Thailand
Tanutdech Rotjanakusol ; Department of Physics, Faculty Science, Mahasarakham University, Khamriang, Kantarawichai, Mahasarakham, Thailand
Kusuma Arsasana ; Department of Geo-informatics, Faculty of Informatics, Mahasarakham University, Khamriang, Kantarawichai,Mahasarakham, Thailand


Full text: english PDF 682 Kb

page 303-308

downloads: 490

cite


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 the above-ground sequestration calcula-tion's result is 213.176 tons per rai. 2) Using  the GVI method, it results in the equation y = 0.2619e0.0489x and the coefficient of determination R²=0.8763. The amount of the above-ground sequestration calculation's result is 220.510 tons per rai. 3) Using the  SR method, it results in the equation y = 0.8900e0.0469x and the coefficient of determination R² = 0.7748.  The amount of the above-ground sequestration calculation's result is 234.229 tons per rai.

Keywords

geo-informatics engineering; remote sensing; estimate; above-ground carbon sequestration

Hrčak ID:

201154

URI

https://hrcak.srce.hr/201154

Publication date:

11.6.2018.

Visits: 1.076 *