地球信息科学学报 ›› 2021, Vol. 23 ›› Issue (10): 1728-1742.doi: 10.12082/dqxxkx.2021.210104

• 综述 • 上一篇    下一篇

土壤水分微波反演方法进展和发展趋势

覃湘栋1(), 庞治国1,2,*(), 江威1,2,3, 冯天时1, 付俊娥1,2   

  1. 1.中国水利水电科学研究院,北京 100038
    2.水利部防洪抗旱减灾工程技术研究中心,北京 100038
    3.中国再保险(集团)股份有限公司博士后工作站,北京 100033
  • 收稿日期:2021-03-03 修回日期:2021-05-10 出版日期:2021-10-25 发布日期:2021-12-25
  • 通讯作者: * 庞治国(1975— ),男,博士,教授级高级工程师,主要从事遥感技术应用研究。E-mail: pangzg@iwhr.com
  • 作者简介:覃湘栋(1996— ),男,硕士生,主要从事土壤水分微波反演方面研究。E-mail: qinxiangdong@163.com
  • 基金资助:
    国家自然科学基金项目(51779269)

Progress and Development Trend of Soil Moisture Microwave Remote Sensing Retrieval Method

QIN Xiangdong1(), PANG Zhiguo1,2,*(), JIANG Wei1,2,3, FENG Tianshi1, FU Jun'e1,2   

  1. 1. China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    2. Research Center on Flood and Drought Reduction of the Ministry of Water Resources,Beijing 100038, China
    3. Postdoctoral workstation of China Reinsurance (Group) Corporation, Beijing 100033, China
  • Received:2021-03-03 Revised:2021-05-10 Online:2021-10-25 Published:2021-12-25
  • Supported by:
    National Natural Science Foundation of China(51779269)

摘要:

土壤水分是连接地表水循环和能量循环的关键参量,精确获取该参量对于理解气候变化、地表水文过程、地气间能量交换机理等具有重要意义。微波遥感由于其较为合适的探测深度和坚实的理论基础在观测地表浅层土壤水分上具有很大优势,结合反演方法可以获取空间连续的土壤水分含量,有助于更加客观认知土壤水分的时空演变机理。随着微波遥感数据的不断丰富,多种微波遥感土壤水分反演方法相继涌现,为了更好地了解其发展和趋势,本文总结了当前土壤水分微波反演常用的卫星遥感数据并分析其发展趋势,后从主动微波反演、被动微波反演和多源协同反演3个方面梳理了各类土壤水分微波反演方法的原理、发展和优缺点,最终总结出目前微波遥感土壤水分反演方法的发展趋势:即土壤水分微波反演方法的时空普适性逐渐增强、面向高时空分辨率的土壤水分微波协同反演方法快速发展以及土壤水分微波反演方法的智能化水平不断提高。

关键词: 土壤水分, 微波遥感, 遥感数据, 反演模型, 辐射传输, 协同反演, 降尺度, 人工智能算法

Abstract:

Soil moisture is a key parameter to connect the land surface water cycle and the land surface energy cycle. Accurate soil moisture is great important to understand the climate change process, the land surface hydrological process, the mechanism of energy exchange between the earth and the atmosphere and so on. Due to its relatively suitable detection depth and strong theoretical foundation, microwave remote sensing has great advantage in observing land surface soil moisture. Combined with retrieval method, microwave remote sensing can obtain spatial continuous land surface soil moisture information easily, which is helpful to comprehend the spatiotemporal evolution mechanism of soil moisture more objectively. With the gradual enrichment of microwave remote sensing data, various soil moisture microwave remote sensing retrieval methods have been proposed one after another. In order to better investigate these soil moisture microwave retrieval methods, this paper summarizes the current satellite microwave remote sensing data which is commonly used in soil moisture retrieval research and analysis the development of these data source at first. Then the principles, development process, advantages and disadvantages of various soil moisture inversion methods are sorted out systematically from the three aspects of active microwave soil moisture retrieval, passive microwave soil moisture retrieval and multi-source collaboration soil moisture retrieval. Finally, three development trends of soil moisture microwave remote sensing retrieval method are summarized as follow. First, the space-time universality of soil moisture microwave remote sensing inversion method is gradually increasing. Second, soil moisture microwave cooperative retrieval methods for high spatial and temporal resolution are developing rapidly. Third, the intelligent level of soil moisture microwave inversion method is improving continuously.

Key words: soil moisture, microwave remote sensing, remote sensing data, retrieval model, radiation transmission, collaborative inversion, downscaling, artificial intelligence algorithm