The Potential Scattering Model for Oil Palm Phenology Based on Spaceborne X-, C-, and L-Band Polarimetric SAR Imaging

Information about oil palm phenology is required for oil palm plantation management, but using spaceborne polarimetric radar imagery remains challenging. However, spaceborne polarimetric radar on X-, C-, and L-band is promising on structure vegetation and cloud area. This study investigates the scat...

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Bibliographic Details
Published in:Journal of sensors 2021, Vol.2021 (1)
Main Authors: Darmawan, Soni, Carolita, Ita, Hernawati, Rika, Dirgahayu, Dede, Agustan, Permadi, Didin Agustian, Sari, Dewi Kania, Suryadini, Widya, Wiratmoko, Dhimas, Kunto, Yohanes
Format: Article
Language:English
Subjects:
Age
Agricultural production
Agriculture
C band
Data collection
Dielectric properties
Microwave sensors
Microwaves
Model accuracy
Parameter estimation
Phenology
Plantations
Polarization
Radar imaging
Radar polarimetry
Scattering
Sensors
Superhigh frequencies
Synthetic aperture radar
Trees
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Summary:Information about oil palm phenology is required for oil palm plantation management, but using spaceborne polarimetric radar imagery remains challenging. However, spaceborne polarimetric radar on X-, C-, and L-band is promising on structure vegetation and cloud area. This study investigates the scattering model of oil palm phenology based on spaceborne X-, C-, and L-band polarimetric Synthetic Aperture Radar (SAR) imaging. The X-, C-, and L-band polarimetric SAR are derived from spaceborne of TerraSAR-X, Sentinel-1A, and ALOS PALSAR 2. Study area is located in oil palm plantations, Asahan District, North Sumatra, Indonesia. The methodology includes data collection, preprocessing, radiometric calibration, speckle filtering, terrain correction, extraction of scattering value, and development of scattering model of oil palm phenology. The results showed different scattering characteristics for the X-, C-, and L-band polarimetric SAR of oil palm for age and found the potential of the scattering model for oil palm phenology based on the X-band on HH polarization that showed a nonlinear model with R2=0.65. The C-band on VH and VV polarization showed a nonlinear model with R2=0.56 and R2=0.89. The L-band on HV and HH polarization showed a logarithmic model with R2=0.50 and R2=0.51. In this case, the most potential of the scattering model of oil palm phenology based onR2is using C-band on VV polarization. However, the scattering model based on X-, C-, and L-band is potentially to be used and applied to identify the phenology of oil palm in Indonesia, which is the main parameter in yield estimation. For the future phenology model needs to improve accuracy by integrating multisensors, including different wavelengths on optical and microwave sensors and more in situ data.
ISSN:1687-725X
1687-7268
DOI:10.1155/2021/6625774