Estimating Oil Palm Production Using Sentinel 2: By-age Separation Method

3rd International Conference of Indonesia Society for Remote Sensing

地球科学;计算机科学

Shafry Untoro, Muhammad Adnan^1 ; Indriani, Lina^1 ; Wiratmoko, Bagus^1 ; Sasongko, Ahnaf Hampar^1 ; Sandika, Balada Wisma^1 ; Amora, Donna Rizky^1 ; Wahyunissa, Nur Lely^1 ; Murti, Sigit Heru^1

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

55281, Indonesia^1

关键词: Atmospherically resistant vegetation indices;    Crop production;    Multi-spectral imagery;    Normalized difference vegetation index;    Oil palm;    Ratio vegetation indices;    Sentinel 2;    Vegetation index;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/165/1/012026/pdf
DOI  :  10.1088/1755-1315/165/1/012026

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Multispectral imagery can be used for estimating production of oil palm fruit in a plantation. One of the multispectral imagery that capable for production estimation is Sentinel 2. Sentinel 2 is a free imagery that have great 10 m medium spatial resolution bands, which are red, green, blue, and near-infrared. These bands can be used to generate several generic vegetation index such as Ratio Vegetation Index (RVI) and normalized difference vegetation index (NDVI) also non-generic vegetation index such as modified soil adjusted vegetation index (MSAVI) and atmospherically resistant vegetation index (ARVI). Those vegetation index applied for estimating the production of oil palm fruit in PT. Perkebunan Nusantara VII's plantation at Rejosari, Natar. By-age separation method demonstrate that it has a better accuracy which is 87.5 % rather than normal method that fully transformed without being separated by-age. The fully transformed method accuracy are 61.1 % for RVI, 59.1 % for NDVI, 55.3 % for MSAVI, and 62.1 % for ARVI.