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 . The C-band on VH and VV polarization showed a nonlinear model with and . The L-band on HV and HH polarization showed a logarithmic model with and . In this case, the most potential of the scattering model of oil palm phenology based onis 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.

中文翻译：

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基于星载X，C和L波段极化SAR成像的油棕物候潜在散射模型

有关油棕种植园管理的信息，需要有关油棕物候的信息，但是使用星载极化雷达图像仍然具有挑战性。然而，X波段，C波段和L波段的星载极化雷达在结构植被和云区上是很有前途的。本研究基于星载X，C和L波段极化合成孔径雷达（SAR）成像技术研究了油棕物候学的散射模型。X波段，C波段和L波段的极化SAR来自TerraSAR-X，Sentinel-1A和ALOS PALSAR 2的星载。研究区域位于印度尼西亚北苏门答腊省Asahan区的油棕种植园。该方法包括数据收集，预处理，辐射度校准，斑点滤波，地形校正，散射值提取以及油棕物候学散射模型的开发。。VH和VV极化的C波段显示了一个非线性模型 和 。HV和HH极化的L波段显示出对数模型，其中 和 。在这种情况下，基于油棕物候学的散射模型最有潜力的是在VV极化上使用C波段。然而，基于X，C和L波段的散射模型可能会被用来识别印度尼西亚油棕的物候，这是产量估算的主要参数。将来，物候模型需要通过集成多传感器（包括光学和微波传感器上的不同波长以及更多原位数据）来提高准确性。