TY - JOUR
T1 - Spatial Study of Oil Palm Plant Health Using Sentinel 2 Imagery at PTPN VIII Cikasungka Plantation, Bogor, West Java
AU - Akmal, Zakiy
AU - Wibowo, Adi
AU - Hernina, Revi
AU - Pin, Tjiong Giok
N1 - Funding Information:
Research Grant supported this paper publication from Penelitian Dasar Unggulan Perguruan Tinggi Kementrian Pendidikan dan Kebudayaan, Riset dan Teknologi Tahun Anggaran 2022 based on contract number: NKB-958/UN2.RST/HKP.05.00/2022.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2022
Y1 - 2022
N2 - Oil palm (Elaeis guineensis Jacq.) is a plantation commodity that is the highest producer and exporter in Indonesia and has high economic value. Increasing oil palm productivity requires several factors, one of which is plant health. Therefore, detecting the health condition of oil palm plants requires research with spatial analysis and a remote sensing method that can monitor plantation data collection strategies efficiently and effectively. One of them is Sentinel-2 using the NDVI algorithm. The algorithm can estimate the relationship between vegetation and health conditions. This study resulted in very healthy plants having NDVI values ranging from 0.80-0.85, healthy plants having NDVI values ranging from 0.76-0.80, critical plants having NDVI values ranging from 0.72-0.76, and unhealthy plants having NDVI values ranging from 0.68-0.72. The distribution of the NDVI value at the PTPN VIII Cikasungka Plantation in January 2022 has a high NDVI value and is spread over every area of the district.
AB - Oil palm (Elaeis guineensis Jacq.) is a plantation commodity that is the highest producer and exporter in Indonesia and has high economic value. Increasing oil palm productivity requires several factors, one of which is plant health. Therefore, detecting the health condition of oil palm plants requires research with spatial analysis and a remote sensing method that can monitor plantation data collection strategies efficiently and effectively. One of them is Sentinel-2 using the NDVI algorithm. The algorithm can estimate the relationship between vegetation and health conditions. This study resulted in very healthy plants having NDVI values ranging from 0.80-0.85, healthy plants having NDVI values ranging from 0.76-0.80, critical plants having NDVI values ranging from 0.72-0.76, and unhealthy plants having NDVI values ranging from 0.68-0.72. The distribution of the NDVI value at the PTPN VIII Cikasungka Plantation in January 2022 has a high NDVI value and is spread over every area of the district.
UR - http://www.scopus.com/inward/record.url?scp=85146591647&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/1111/1/012008
DO - 10.1088/1755-1315/1111/1/012008
M3 - Conference article
AN - SCOPUS:85146591647
SN - 1755-1307
VL - 1111
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012008
T2 - 3rd International Symposium of Earth, Energy, Environmental Science, and Sustainable Development
Y2 - 27 August 2022 through 28 August 2022
ER -