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

Author:

Darmawan Soni1ORCID,Carolita Ita2,Hernawati Rika1ORCID,Dirgahayu Dede2,Agustan 3ORCID,Permadi Didin Agustian1,Sari Dewi Kania1ORCID,Suryadini Widya1,Wiratmoko Dhimas4,Kunto Yohanes1

Affiliation:

1. Institut Teknologi Nasional Bandung (ITENAS), PKH. Mustofa 23. Bandung 40124, Indonesia

2. Remote Sensing Applications Center of National Institute of Aeronautics and Space (LAPAN), Kalisari 8, Pekayon, Pasar Rebo, East Jakarta 13710, Indonesia

3. Agency for the Assessment and Application of Technology (BPPT), M.H Thamrin 8 Jakarta 10340, Indonesia

4. Indonesian Oil Palm Research Institute, Brigjen Katamso 51, Medan 20158, Indonesia

Abstract

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 R 2 = 0.65 . The C-band on VH and VV polarization showed a nonlinear model with R 2 = 0.56 and R 2 = 0.89 . The L-band on HV and HH polarization showed a logarithmic model with R 2 = 0.50 and R 2 = 0.51 . In this case, the most potential of the scattering model of oil palm phenology based on R 2 is 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.

Funder

Ministry of Research and Technology/National Research and Innovation

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Phenology Model of Oil Palm Plantation Based on Biophysical Parameter on Sentinel-1A Using Multiple Linear Regression (MLR);Journal of the Indian Society of Remote Sensing;2024-08-19

2. Improving the accuracy of mangrove forest mapping using sentinel image and developed classification algorithm based on machine learning;Journal of Spatial Science;2024-04-08

3. Study of mapping of oil palm age based on Google Earth Engine toward one data oil palm management;AIP Conference Proceedings;2024

4. Leaf area index retrieval of oil palm plantation by Sentinel-1 satellite radar imaging;2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR);2023-10-23

5. Oil palm plantation age modeling using the H-alpha decomposition method of Sentinel 1-A;THE 3RD FACULTY OF INDUSTRIAL TECHNOLOGY INTERNATIONAL CONGRESS 2021 INTERNATIONAL CONFERENCE: Enriching Engineering Science through Collaboration of Multidisciplinary Fields;2023

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