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土壤水分遥感反演研究进展 被引量:53

Advances in soil moisture retrieval from remote sensing
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摘要 土壤水分精确反演对于理解和解决农业生产、生态规划以及水资源管理中的科学与实际问题至关重要。目前,大量的反演算法被广泛用于土壤水分估算,全球土壤水分遥感反演产品不断发布,反演算法与产品数据集的应用前景亟待系统梳理。基于不同谱段遥感探测技术中的土壤水分反演方法存在各自的特点、优势和局限性。除反演方法研究外,土壤水分遥感反演研究热点可被归纳为遥感土壤水分产品评估、在相关领域的应用、数据同化3个方面。大量研究表明土壤水分遥感反演产品在生态、水文、干旱等研究中表现出巨大的潜力,且在部分研究中已经得到应用。但目前土壤水分的遥感观测与应用需求仍存在一定的差距,因此最后对土壤水分遥感反演在探测的精度和准确度两个方面及其解决方案进行了总结与展望。 Accurate soil moisture retrieval is very important for understanding and solving scientific and practical problems in agricultural production,ecological planning,and water resources management.At present,a large number of inversion algorithms are widely used in soil moisture estimation,and global soil moisture remote sensing inversion products are constantly published,but inversion algorithms and the application prospects of product datasets need to be systematically combed.Soil moisture retrieval methods based on remote sensing technology in different spectral ranges have their own characteristics,advantages,and limitations.In addition to inversion methods,the research hotspots of remote sensing inversion of soil moisture can be summarized into three aspects:evaluation of remote sensing soil moisture products,application in related fields,and data assimilation.A large number of studies show that remote sensing inversion products for soil moisture have shown great potential in ecological,hydrological,drought,and other research,and have been applied in some research.However,there is still a gap between the remote sensing observations and application in soil moisture.Thus,this paper finally summarizes and forecasts the precision and accuracy of Soil Moisture Remote Sensing Inversion and its solutions.
作者 潘宁 王帅 刘焱序 赵文武 傅伯杰 PAN Ning;WANG Shuai;LIU Yanxu;ZHAO Wenwu;FU Bojie(State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China)
出处 《生态学报》 CAS CSCD 北大核心 2019年第13期4615-4626,共12页 Acta Ecologica Sinica
基金 国家重点研发计划项目(2017YFA0604701) 中国博士后科学基金项目(2018T110066,2017M620029) 中央高校基本科研业务费专项
关键词 土壤水分 反演方法 遥感产品 数据应用 数据同化 soil moisture inversion method remote sensing inversed products data application data assimilation
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