TY - JOUR
T1 - Potential of PALSAR SCANSAR data for oil palm plantation in growth monitoring and mapping
AU - Carolita, I.
AU - Rosid, M. S.
AU - Ibrahim, A.
AU - Dirgahayu, D.
AU - Noviar, H.
AU - Supriatna, J.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/4/26
Y1 - 2021/4/26
N2 - The main objective of this study is to analyze the potential use of L-band radar data with 100 meter spatial resolution for age estimation of oil palm. Age of oil palm are very important parameter to be investigated, because age and condition of oil palm are the main factors for yield forecasting, biomass estimation, replanting plan, fertilization plan, etc. As sensitive to roughness and moisture, the variations of oil palm backscatter that received by SAR satellite caused by the differences of oil palm age. This condition give possibility to investigate the relation between backscatter and age. Four radar images were acquired using the Scanning synthetic aperture radar/Advanced Land Observing Satellite (ScanSAR/ALOS)-2 sensor over the oil palm plantation in Tandun Riau, July 2016, 2017, 2018 and 2019. The information about ages from very young up to mature were gathered from oil palm plantation of PTP N V in Tandun.. The growth model equation was built to describes the development of backscatter of oil palm from young age to mature age. Method to get growth model is regression analysis. The growth model that has been obtained is logarithmic equation with R2 around 0,90 for HH SAR polarization. Growth model then can be used for age estimation and produce oil palm map based on it's age that can be used for yield estimation, as well as for oil palm's condition monitoring including it's health.
AB - The main objective of this study is to analyze the potential use of L-band radar data with 100 meter spatial resolution for age estimation of oil palm. Age of oil palm are very important parameter to be investigated, because age and condition of oil palm are the main factors for yield forecasting, biomass estimation, replanting plan, fertilization plan, etc. As sensitive to roughness and moisture, the variations of oil palm backscatter that received by SAR satellite caused by the differences of oil palm age. This condition give possibility to investigate the relation between backscatter and age. Four radar images were acquired using the Scanning synthetic aperture radar/Advanced Land Observing Satellite (ScanSAR/ALOS)-2 sensor over the oil palm plantation in Tandun Riau, July 2016, 2017, 2018 and 2019. The information about ages from very young up to mature were gathered from oil palm plantation of PTP N V in Tandun.. The growth model equation was built to describes the development of backscatter of oil palm from young age to mature age. Method to get growth model is regression analysis. The growth model that has been obtained is logarithmic equation with R2 around 0,90 for HH SAR polarization. Growth model then can be used for age estimation and produce oil palm map based on it's age that can be used for yield estimation, as well as for oil palm's condition monitoring including it's health.
UR - http://www.scopus.com/inward/record.url?scp=85105261179&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/739/1/012091
DO - 10.1088/1755-1315/739/1/012091
M3 - Conference article
AN - SCOPUS:85105261179
SN - 1755-1307
VL - 739
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012091
T2 - 1st Universitas Lampung International Conference on Science, Technology and Environment, ULICOSTE 2020
Y2 - 18 November 2020 through 19 November 2020
ER -