基于微波散射机理的SAR作物和土壤参数反演研究进展

吴尚蓉; 赵荣坤; 曹红; 查燕; 余强毅; 吴文斌; 杨鹏

doi:10.12000/JR24260

基于微波散射机理的SAR作物和土壤参数反演研究进展

DOI: 10.12000/JR24260 CSTR: 32380.14.JR24260

吴尚蓉^{1, 2, ,},
赵荣坤^{1, 2},
曹红^{1, 2},
查燕^{1, 2},
余强毅^{1, 2},
吴文斌^{1, 2},
杨鹏^{1, 2}

1.
北方干旱半干旱耕地高效利用全国重点实验室, 中国农业科学院农业资源与农业区划研究所北京 100081
2.
中国农业科学院农业资源与农业区划研究所/农业农村部农业遥感重点实验室北京 100081

基金项目: 国家自然科学基金(42271374)，中国农业科学院青年创新专项(Y2023QC18)

详细信息

作者简介:
吴尚蓉，博士，副研究员，主要研究方向为农情遥感、作物遥感、作物参数SAR反演、同化估产等

赵荣坤，博士生，主要研究方向为作物参数SAR反演、农情遥感等

曹　红，博士生，主要研究方向为遥感估产、农情遥感等

查　燕，博士，副研究员，主要研究方向为农业资源环境遥感等

余强毅，博士，研究员，主要研究方向为农业遥感、智慧农业等

吴文斌，博士，研究员，主要研究方向为农业遥感、智慧农业等

杨　鹏，博士，研究员，主要研究方向为农业遥感机理与方法、智慧农业等

通讯作者:
吴尚蓉, wushangrong@caas.cn

责任主编：张红 Corresponding Editor: ZHANG Hong
中图分类号: P237
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- HTML全文浏览量: 3
- PDF下载量: 5
- 被引次数: 19
出版历程
- 收稿日期: 2024-12-26
- 修回日期: 2025-04-08

Research Progress on SAR Inversion of Crop and Soil Parameters Based on Microwave Scattering Theory

WU Shangrong^{1, 2
, ,},
ZHAO Rongkun^{1, 2},
CAO Hong^{1, 2},
ZHA Yan^{1, 2},
YU Qiangyi^{1, 2},
WU Wenbin^{1, 2},
YANG Peng^{1, 2}

1.
State Key Laboratory of Efficient Utilization of Arable Land in China (the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
2.
Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

Funds: The National Natural Science Foundation of China (42271374), Youth Innovation Program of the Chinese Academy of Agricultural Sciences (Y2023QC18)

More Information

Corresponding author: WU Shangrong, wushangrong@caas.cn

摘要

摘要: 作物和土壤参数是表征作物生长状态、监测作物长势的重要基础。雷达遥感具有全天时、全天候、不受气象条件影响的观测能力，微波的穿透能力也对作物覆盖下土壤参数变化具有较强敏感性，在作物土壤参数反演中极具潜力。该文围绕微波散射理论下的作物土壤参数反演模型展开研究和综述。首先回顾了微波散射模型从理论模型发展为半经验模型的历程，明晰模型理论演变趋势与方法改进方向。然后，详细介绍了基于微波散射机理的作物参数、土壤参数以及作物土壤参数耦合的反演方法。最后，阐明模型不足，结合当下技术发展特点明确了未来发展的重点方向，以期为后续研究提供新思路。
- 微波散射机理 /
- 作物参数 /
- 土壤参数 /
- 理论模型 /
- 半经验模型
Abstract: Crop and soil parameters serve as fundamental indicators for characterizing crop growth status and monitoring vegetation dynamics. Radar remote sensing presents unique advantages, such as all-weather and day-and-night observation capabilities, as well as insensitivity to meteorological conditions. Furthermore, the penetration ability of microwaves enhances the sensitivity to soil parameter variations beneath crop canopies, demonstrating significant potential for retrieving crop and soil parameters. This article presents a comprehensive review and analysis of inversion models used for crop and soil parameters based on the microwave scattering theory. First, it discusses the evolution of microwave scattering models from theoretical frameworks to semiempirical approaches, demonstrating key trends in theoretical advancements and methodological refinements. Subsequently, it systematically examines inversion methods for crop parameters, soil parameters, and crop–soil interactions, revealing their underlying microwave scattering mechanisms. Finally, the article discusses current model limitations and proposes future research directions aligned with emerging technological developments to provide novel insights for subsequent investigations.
- Microwave scattering theory /
- Crop parameters /
- Soil parameters /
- Mechanistic model /
- Semi-empirical model

HTML全文

图 1 作物参数反演模型发展趋势

Figure 1. Development trends of crop parameter inversion models

下载: 全尺寸图片幻灯片

图 2 土壤参数反演模型发展趋势

Figure 2. Development trends of soil parameter inversion models

下载: 全尺寸图片幻灯片

图 3 作物土壤参数反演模型示意图

Figure 3. Schematic diagram of crop and soil parameter inversion model

下载: 全尺寸图片幻灯片

表 1 WCM参数设置

Table 1. WCM Parameter setting

作物	${V}_{1}$	${V}_{2}$	参考文献
黄秋葵	LAI	BM	[81]
芸豆	LAI	LWAI	[82]
水稻	LAI	LAI	[80]
水稻	BM	BM	[85]
玉米	1	LAI	[83]
小麦	LAI	IF	[86,87]
大豆、玉米	${\mathrm{L}\mathrm{A}\mathrm{I}}^{{E}_{1}}$	${\mathrm{L}\mathrm{A}\mathrm{I}}^{{E}_{2}}$	[84,88]
小麦、玉米等	${\mathrm{L}\mathrm{A}\mathrm{I}}^{{E}_{1}}$	${\mathrm{B}\mathrm{M}}^{{E}_{2}}$	[89,90]
注：叶面积指数(LAI)，生物量(BM)，叶片含水量(Leaf Water Area Index, LWAI)，作物冠层垂直不均匀性描述符(Interaction Fctor, IF)， ${E}_{1}$ 和 ${E}_{2}$ 为待确定参数。

下载: 导出CSV

参考文献(135)

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