An Integrated Surface Parameter Inversion Scheme Over Agricultural Fields at Early Growing Stages by Means of C-Band Polarimetric RADARSAT-2 Imagery
An Integrated Surface Parameter Inversion Scheme Over Agricultural Fields at Early Growing Stages by Means of C-Band Polarimetric RADARSAT-2 Imagery
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DOI：
10.1109/tgrs.2015.2502600
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发表时间：
2016-01
影响因子：
8.2
通讯作者：
Xiaodong Huang;Jinfei Wang;J. Shang
中科院分区：
文献类型：
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作者：
Xiaodong Huang;Jinfei Wang;J. Shang
许多研究都对裸土地表参数的反演进行了研究。本文尝试考虑作物残茬农田和低植被复盖农田以及裸露土壤的农田。在分析作物生长早期H-α参数的基础上，提出了一种地表参数的综合反演方法，其中裸地地表参数的反演采用校正积分方程法，作物残留地和低植被覆盖下的地表参数采用自适应二分量分解和简化的自适应体积散射模型相结合。使用2013年4月29日和5月9日以及2014年5月至6月收集的全极化RADARSAT-2数据和地面真实数据进行验证。与其他方法相比，当考虑所有样点时，所有农田的体积土壤水分(MV)和地表粗糙度(KS)与可验证的观测值一致，总体均方根误差分别为6.12[体积.%]和0.48。
Many research studies have investigated surface parameter inversion for bare soils. This paper attempts to take into account the agricultural fields with crop residues and fields under low vegetation cover in addition to bare soil fields. An integrated surface parameter inversion scheme (ISPIS) is proposed to invert surface parameters in these agricultural fields based on the analysis of H-α parameters at the early crop growing stages, in which the calibrated integral equation model (CIEM) is adopted to invert surface parameters for bare soils, and an adaptive two-component decomposition combined with the CIEM and a simplified adaptive volume scattering model is developed for fields with crop residues and under low vegetation cover. Fully polarimetric RADARSAT-2 data with ground truth collected on April 29 and May 9 in 2013 and from May to June in 2014 are used for validation. Compared with other methods, the derived volumetric soil moisture (MV) and surface roughness (KS) of all agricultural fields are consistent with verifiable observations with the lowest overall root mean square error: 6.12 [vol.%] and 0.48, respectively, when all sample sites are considered.