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A novel approach to quantify soil salinity by simulating the dielectric loss of SAR in three-dimensional density space
Remote Sensing of Environment ( IF 13.5 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.rse.2020.112059
Shoba Periasamy , Kokila Priya Ravi

Abstract Soil salinity is one of the crucial factors which undermines agricultural production in the semi-arid region. The study was attempted for the Vellore district, one of the worst-hit semi-regions of Tamil Nadu by salinization. The Sentinel-1 data product of C-band frequency (5.36 GHz) was instrumental in the development of the model. In the present research, a semi-empirical dielectric model was proposed, and its potential in demonstrating the rate of soil salinity was validated with in-situ measurements under semi-saturated conditions (soil moisture 0.7) in quantifying the soil EC covered with short crops with a mean height of 0.5 m. This statistical significance reveals the feasibility of the C-band SAR data to quantify the rate of salinity over bare and vegetated soil.

中文翻译:

通过模拟三维密度空间中SAR介电损耗量化土壤盐度的新方法

摘要 土壤盐分是影响半干旱地区农业生产的重要因素之一。该研究是针对 Vellore 地区进行的,该地区是泰米尔纳德邦受盐渍化影响最严重的半地区之一。C 波段频率 (5.36 GHz) 的 Sentinel-1 数据产品有助于模型的开发。在本研究中,提出了一种半经验介电模型,并通过在半饱和条件下(土壤湿度 0.7)的原位测量来验证其在证明土壤盐分率方面的潜力,以量化短作物覆盖的土壤 EC平均高度为 0.5 m。这种统计显着性揭示了 C 波段 SAR 数据量化裸土和植被土壤盐分率的可行性。
更新日期:2020-12-01
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