高砾石地表全极化SAR土壤水分反演方法

doi:10.11947/j.AGCS.2024.20220719

测绘学报 ›› 2024, Vol. 53 ›› Issue (11): 2189-2200.doi: 10.11947/j.AGCS.2024.20220719

• 摄影测量学与遥感 • 上一篇

高砾石地表全极化SAR土壤水分反演方法

郎丰铠¹^,²(), 何苏颖², 邱奥深², 时洪涛²(), 郑南山¹^,²

^1.中国矿业大学江苏省资源环境时空信息工程高校重点实验室，江苏　徐州　221116
^2.中国矿业大学环境与测绘学院，江苏　徐州　221116

收稿日期:2023-01-01 发布日期:2024-12-13
通讯作者: 时洪涛 E-mail:langfk@cumt.edu.cn;hongtao.shi@cumt.edu.cn
作者简介:第一郎丰铠（1987—），男，博士，副教授，研究方向为土壤水分反演、极化SAR图像处理。　E-mail：langfk@cumt.edu.cn
基金资助:
国家自然科学基金(41977220);武汉大学测绘遥感信息工程国家重点实验室开放研究基金(22R05);浙江省微波目标特性测量与遥感重点实验室开放研究基金(2022-KFJJ-003);新疆维吾尔自治区重点研发计划项目(2022B03003-4)

Soil moisture inversion for high gravel surface with polarimetric SAR imagery

Fengkai LANG¹^,²(), Suying HE², Aoshen QIU², Hongtao SHI²(), Nanshan ZHENG¹^,²

^1.Jiangsu Key Laboratory of Resource Environment Spatio-temporal Information Engineering, China University of Mining and Technology, Xuzhou 221116, China
^2.School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

Received:2023-01-01 Published:2024-12-13
Contact: Hongtao SHI E-mail:langfk@cumt.edu.cn;hongtao.shi@cumt.edu.cn
About author:LANG Fengkai (1987—), male, PhD, associate professor, majors in soil moisture inversion and polarimetric SAR image processing.　E-mail: langfk@cumt.edu.cn
Supported by:
The National Natural Science Foundation of China(41977220);The Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University(22R05);The Open Research Fund of Laboratory of Target Microwave Properties(2022-KFJJ-003);Xinjiang Key Research and Development Special Task(2022B03003-4)

摘要/Abstract

摘要：

我国西部戈壁荒漠地区含有大量砾石，这些区域土壤含水量的精准反演对我国西北地区生态和气象环境监测、植树造林及水利工程建设等均具有重要意义。然而，现有的SAR土壤水分反演模型均假设土壤由细颗粒物组成，并未考虑砾石的影响。对此，本文提出了一种利用全极化SAR遥感数据反演高砾石地表土壤水分的方法。首先，将高砾石地表后向散射建模为地面造成的面散射和砾石造成的体散射两部分；对于面散射，使用高级积分方程模型（AIEM）及Oh模型进行土壤水分反演，对于体散射，则使用致密介质辐射传输模型（DMRT）进行反演；最后，将两部分的反演结果进行加权求和，作为最终的土壤水分反演结果。利用内蒙古自治区乌海市野外土壤水分实测数据及ALOS-2全极化SAR数据对本文方法进行精度评价，并与现有的土壤水分反演方法进行比较，结果表明，本文方法（R²=0.60）比现有方法（R²=0.35）的反演精度有显著的提高。

关键词: 土壤水分, 土壤湿度, 高砾石地表, AIEM模型, DMRT模型, 全极化SAR

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

中图分类号:

P237

郎丰铠, 何苏颖, 邱奥深, 时洪涛, 郑南山. 高砾石地表全极化SAR土壤水分反演方法[J]. 测绘学报, 2024, 53(11): 2189-2200.

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.

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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

高砾石地表全极化SAR土壤水分反演方法

Soil moisture inversion for high gravel surface with polarimetric SAR imagery

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