Analysis of L Band Radar Data Over Tropical Agricultural Areas

M. Zribi, M. Sekhar, S. Bandyopadhyay, S. Bousbih, A. Al Bitar, S. K. Tomer, N. Baghdadi
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Abstract

The abstract should appear at the top of the left-. The main objective of this study is to analyze the potential use of L-band radar data for the estimation of soil moisture in agricultural tropical areas. Simultaneously to several radar acquisitions made between June and October 2018, using ALOS2-PALSAR sensor over the Berambadi site (south of India), ground measurements of soil roughness, soil water content, LAI were recorded. The sensitivity of the ALOS-2 measurements to variations in soil moisture, which has been reported in several scientific publications, is confirmed in this study, even for dense crops. The radar signals are simulated using different types of backscattering models (physical and semi-empirical) over bare soil and vegetation cover for different types of crops (tumeric, etc). WCM model parameterized with LAI for vegetation contribution allows a good estimation of soil moisture for tumeric.
热带农业区L波段雷达数据分析
摘要应该出现在左上角。本研究的主要目的是分析l波段雷达数据在农业热带地区土壤湿度估算中的潜在用途。2018年6月至10月期间,在Berambadi站点(印度南部)使用ALOS2-PALSAR传感器进行了几次雷达采集,同时记录了土壤粗糙度、土壤含水量和LAI的地面测量值。ALOS-2测量对土壤湿度变化的敏感性已在几份科学出版物中得到报道,这在本研究中得到证实,即使对密实作物也是如此。雷达信号使用不同类型的后向散射模型(物理和半经验)在裸地和不同类型作物(姜黄等)的植被覆盖上进行模拟。以LAI作为植被贡献参数的WCM模型可以很好地估计草本植物的土壤湿度。
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