Effectiveness of Vegetation Index Transformation for Land Use Identifying and Mapping in the Area of Oil palm Plantation based on SPOT-6 Imagery (Case Study: PT.Tunggal Perkasa Plantations, Air Molek, Indragiri Hulu)

2nd International Conference of Indonesian Society for Remote Sensing 2016

地球科学;计算机科学

Setyowati, H.A.^1 ; Murti, S.H.B.S.^1 ; Sukentyas, E.S.^2

Departement of Cartography and Remote Sensing, Faculty of Geography, Universitas Gadjah Mada, Sekip Utara, Sleman, Yogyakarta

55281, Indonesia^1

Technology and Data Center, Agencies and National Space Flight (LAPAN), Pekayon, Pasar Rebo, Jakarta

13710, Indonesia^2

关键词: Atmospherically resistant vegetation indices;    Multispectral classification;    Oil palm;    Remote sensing imagery;    Remote sensing images;    SPOT-6 Imagery;    Stratified random sampling;    Vegetation index;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/47/1/012033/pdf
DOI  :  10.1088/1755-1315/47/1/012033

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The reflection of land surface, atmosphere and vegetation conditions affect the reflectance value of the object is recorded on remote sensing image so that it can affect the outcome of information extraction from remote sensing imagery one multispectral classification. This study aims to assess the ability of the transformation of generic vegetation index (Wide Dynamic Range Vegetation Index), the vegetation index transformation that is capable reducing the influence of the atmosphere (Atmospherically Resistant Vegetation Index), and the transformation of vegetation index that is capable of reducing the influence of the background soil (Second Modified Soil Adjusted Vegetation Index) for the identification and mapping of land use in the oil palm plantation area based on SPOT-6 archived on June 13, 2013 from LAPAN. The study area selected oil palm plantations PT. Tunggal Perkasa Plantations, Air Molek, Indragiri Hulu, Riau Province. The method is using the transformation of the vegetation index ARVI, MSAVI2, and WDRVI. Sample selection method used was stratified random sampling. The test method used mapping accuracy of the confusion matrix. The results showed that the best transformation of the vegetation index for the identification and mapping of land use in the plantation area is ARVI transformation with a total of accuracy is 96%. Accuracy of mapping land use settlements 100%, replanting 82.35%, 81.25% young oil palm, old oil palm 99.46%, 100% bush, body of water 100%, and 100% bare-soil.