Soil moisture inversion for high gravel surface with polarimetric SAR imagery

doi:10.11947/j.AGCS.2024.20220719

Abstract

Abstract:

There is a large amount of gravel in the Gobi and desert areas in western China. Accurate inversion of soil water content in these areas is of great significance for ecological and meteorological environment monitoring, afforestation and water conservancy project construction in northwest China. However, existing SAR soil moisture inversion models assume that soil is composed of fine particulate matter, without considering the influence of gravel. In this paper, a new method for soil moisture inversion on high gravel surface using polarimetric SAR (PolSAR) data is proposed. First, the backscattering of high gravel surface is modeled as surface scattering caused by ground and volume scattering caused by gravel. For surface scattering, the advanced integral equation model (AIEM) and Oh model are used for soil moisture inversion. For volume scattering, the dense medium radiative transfer (DMRT) model is used to invert soil moisture. Finally, the weighted summation of the inversion results of the two parts is used as the final inversion result. The inversion accuracy of soil moisture inversion model was evaluated by using the field soil moisture measured data and ALOS-2 PolSAR data in Wuhai city, and compared with the commonly used soil moisture inversion methods. The results showed that the accuracy of this method was significantly improved when it was applied to the soil moisture inversion on high gravel surface (traditional soil moisture retrieval method: R²=0.35; new method: R²=0.60).

Key words: soil water content, soil moisture, high gravel surface, AIEM model, DMRT model, polarimetric SAR

CLC Number:

P237

Fengkai LANG, Suying HE, Aoshen QIU, Hongtao SHI, Nanshan ZHENG. Soil moisture inversion for high gravel surface with polarimetric SAR imagery[J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(11): 2189-2200.

Figures/Tables 12

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成像参数	参数值
成像日期	2021-07-03
数据模式	SM2
轨道方向	升轨
分辨率/m	6
极化方式	HH+HV+VH+VV
入射角/（°）	30.4
处理级别	Level 1.1

地表覆盖类型	植被覆盖程度	有效采样点数	土壤体积含水量范围/（%）
高砾石地表	无	50	0.5~3.5
沙地	多数样点无植被，少量样点有稀疏植被	69	0.3~9.5

参数	采样内容	范围
土壤体积含水量/（%）	FDR	0.3~4
	TDR	1.0~10
	烘干法	0.5~4
地表粗糙度/cm	均方根高度	1.5~3.0
地表粗糙度/cm	相关长度	10~50
其他/（g/cm³）	土壤容重	1.02~2.02

方法	模型	地表类型	R²	RMSE/（%）	MAE/（%）
本文方法	DMRT+AIEM+Oh（MWCM）	砾石地	0.60	0.60	0.47
本文方法	DMRT+AIEM+Oh（MWCM）	沙地	0.41	0.79	0.67
对比方法	AIEM+Oh（MWCM）	砾石地	0.35	0.84	0.69
对比方法	AIEM+Oh（MWCM）	沙地	0.69	0.62	0.48

点号	HH后向散射系数/dB			初始值
点号	MWCM	WCM	NDVI	初始值
1	-17.973	-17.973	-18.192	0.147
2	-14.863	-14.928	-19.182	0.261
3	-17.744	-17.744	-18.209	0.055
4	-21.729	-21.729	-20.734	0.059
5	-18.712	-18.712	-18.898	0.055
6	-18.123	-18.123	-23.586	0.098
7	-16.463	-16.463	-17.532	0.158
8	-15.787	-15.787	-22.219	0.141
9	-13.842	-13.876	-12.830	0.227
10	-16.212	-16.212	-17.301	0.173