Above Ground Carbon Stock Estimates of Mangrove Forest Using Worldview-2 Imagery in Teluk Benoa, Bali

2nd International Conference of Indonesian Society for Remote Sensing 2016

地球科学;计算机科学

Candra, E.D.^1 ; Hartono^2 ; Wicaksono, P.^2

Undergraduate Program of Cartography and Remote Sensing, Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta

55281, Indonesia^1

Department of Geographic Information Science, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta

55281, Indonesia^2

关键词: Above-ground carbons;    Allometric equations;    Enhanced vegetation index;    High resolution image;    Remote sensing technology;    Sequestering carbon;    Spatial resolution;    Vegetation index;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/47/1/012014/pdf
DOI  :  10.1088/1755-1315/47/1/012014

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Mangrove forests have a role as an absorbent and a carbon sink to a reduction CO2 in the atmosphere. Based on the previous studies found that mangrove forests have the ability to sequestering carbon through photosynthesis and carbon burial of sediment effectively. The value and distribution of carbon stock are important to understand through remote sensing technology. In this study, will estimate the carbon stock using WorldView-2 imagery with and without distinction mangrove species. Worldview-2 is a high resolution image with 2 meters spatial resolution and eight spectral bands. Worldview-2 potential to estimate carbon stock in detail. Vegetation indices such as DVI (Difference Vegetation Index), EVI (Enhanced Vegetation Index), and MRE-SR (Modified Red Edge-Simple Ratio) and field data were modeled to determine the best vegetation indices to estimate carbon stocks. Carbon stock estimated by allometric equation approach specific to each species of mangrove. Worldview-2 imagery to map mangrove species with an accuracy of 80.95%. Total carbon stock estimation results in the study area of 35.349,87 tons of dominant species Rhizophora apiculata, Rhizophora mucronata and Sonneratia alba.