Soil Moisture Mapping Along Climatic Gradient by Dual-Polarization Sentinel-1 C-Band Data

被引：0
|
作者：
Chang, Jisung Geba [1 ]
Oh, Yisok [2 ]
Shoshany, Maxim [1 ]
机构：
[1] Technion Israel Inst Technol, Civil & Environm Engn Fac, Haifa IL-32000, Israel
[2] Hongik Univ, Sch Elect & Elect Engn, Seoul 04066, South Korea
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2023年 / 20卷
关键词：
Soil moisture; Climate change; Agriculture; Hydrology; Plants; Backscatter; Synthetics aperture radar; Vegetation mapping; Inversion technique; polarimetric radar vegetation index (PRVI); Sentinel-1; soil moisture;
D O I：
暂无
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
moisture plays an important role in agriculture, hydrology, plants' seasonal growth cycle, and their sustainability under climate change. This letter presents a novel method for regional mapping of soil moisture with partial vegetation cover by using dual-polarized Sentinel-1 C-band SAR data. Model -based retrieval of soil moisture from radar backscatter under partial vegetation cover first necessitates the separation of the backscatter of the underlying soil from total radar backscatter and then the implementation of an inversion technique to estimate its soil moisture content from the backscattering coefficient of the underlying soil. The regional mapping of soil moisture was verified with in situ measurements along a climatic gradient (650- 100 mm/year) in central Israel. A good agreement between the estimated soil moisture and the measured from ground samples was found, with an R-2 of 0.793 with an RMSE of 0.047.
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页数：5
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