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An insight into the sensitivity of fully polarimetric SAR data to biomass of pearl millet crop
The Egyptian Journal of Remote Sensing and Space Sciences ( IF 3.7 ) Pub Date : 2022-03-11 , DOI: 10.1016/j.ejrs.2022.02.008
Shanmugapriya Selvaraj 1 , Hari Shanker Srivastava 2 , Dipanwita Haldar 2 , Abhishek Danodia 2
Affiliation  

The development of polarimetric decomposition techniques improves the capability to understand the complex scattering mechanisms occurring in the dryland crops. The present study is focused on assessing the sensitivity of coherent, incoherent, model and Eigen vector-based decomposition techniques from multitemporal Radarsat-2 polarimetric dataset to scattering mechanisms occurring in the critical growth stages of pearl millet crop. Yamaguchi volume component along with its temporal response was observed to be sensitive and reliable due to its dynamic biomass characterization. Overestimation of volume component and earlier saturation of biomass from 4 kgm−2 were observed limitations in Freeman 2 & 3 component decomposition when dealing with higher vegetation crops. The decrease in volume scattering over increasing biomass proved Van Zyl response contrary to the established understanding. Panicle stage was identified as the critical stage for discriminating pearl millet from similar structured maize and sorghum crops. In this stage, alpha angle generated from Cloude-Pottier decomposition almost reached 550 indicating the increase in contribution of dihedral scattering due to vertical prominent panicles in the pearl millet fields. The various Touzi parameters (α1, Ψ1, φ1 and τ1) were observed to have sensitivity towards changes in crop canopy structures, which will require further research to verify. The proposed Δ(F3-Y4) was the most suitable Volume Difference Index (VDI) for characterizing biomass of erectophile crops as the dynamic biomass response was found even beyond 8 kgm−2.



中文翻译:

全极化SAR数据对珍珠粟作物生物量敏感性的洞察

极化分解技术的发展提高了理解旱地作物中发生的复杂散射机制的能力。本研究的重点是评估基于多时相 Radarsat-2 偏振数据集的相干、非相干、模型和特征向量分解技术对珍珠粟作物关键生长阶段发生的散射机制的敏感性。由于其动态生物量表征,观察到山口体积分量及其时间响应是敏感和可靠的。从 4 kgm -2高估体积分量和较早饱和的生物量在处理较高的植被作物时,观察到 Freeman 2 和 3 成分分解的局限性。随着生物量的增加,体积散射的减少证明了 Van Zyl 的反应与既定的理解相反。穗期被确定为区分珍珠粟与结构相似的玉米和高粱作物的关键阶段。在这个阶段,Cloude-Pottier 分解产生的 alpha 角几乎达到 55 0表明由于珍珠粟田中垂直突出的圆锥花序,二面角散射的贡献增加。观察到各种头子参数(α1、Ψ1、φ1和τ1)对作物冠层结构的变化具有敏感性,这需要进一步研究来验证。所提出的Δ(F3-Y4) 是表征亲直作物生物量的最合适的体积差异指数(VDI),因为发现动态生物量响应甚至超过8 kgm -2

更新日期:2022-03-11
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