Estimating the age of oil palm trees using remote sensing technique

被引：7
作者：
Fitrianto, A. C. [1 ,2 ]
Darmawan, A. [1 ,3 ]
Tokimatsu, K. [1 ]
Sufwandika, M. [2 ]
机构：
[1] Tokyo Inst Technol, Dept Transdisciplinary Sci & Engn, Meguro Ku, 2-12-1 Okayama, Tokyo, Japan
[2] Geospatial Informat Agcy BIG, Jl Raya Jakarta Bogor KM 46 Cibinong, Bogor, Indonesia
[3] Agcy Assessment & Applicat Technol BPPT, Jakarta, Indonesia
来源：
INTERNATIONAL CONFERENCE ON ENVIRONMENTAL RESOURCES MANAGEMENT IN GLOBAL REGION (ICERM 2017) | 2018年 / 148卷
关键词：
D O I：
10.1088/1755-1315/148/1/012020
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
One of renewable energy that can be converted into electricity is biomass. Biomass energy or bio energy is the largest source of domestic renewable energy in Indonesia. Since palm oil development is rapidly increasing, Empty Fruit Bunch (EFB) and Mesocarp Fiber (MF) are becoming the highest contributor of oil palm waste. Understanding biomass waste potential is very important for further utilization. Remote sensing technique can be used to detect oil palm trees age based on the canopy density and to estimate the amount of EFB in further analysis. In this research, the percentage of canopy density of oil palm trees/stands depends on their ages and the age is divided into four classes; seeds (< 3 years old; < 10%), young (3-8 years old; 10-40 %), teenage (9-14 years old; 41-80 %), and mature (15-25 years old; > 80 %).
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页数：9
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