全天候地表温度遥感获取进展与挑战  

Estimation of all-weather land surface temperature with remote sensing:Progress and challenges

作　　者：丁利荣 周纪 张晓东 王韶飞 唐文彬 王子卫 马晋 艾丽皎 李明松 王伟 DING Lirong;ZHOU Ji;ZHANG Xiaodong;WANG Shaofei;TANG Wenbin;WANG Ziwei;MA Jin;AI Lijiao;LI Mingsong;WANG Wei(School of Resources and Environment,University of Electronic Science and Technology of China,Chengdu 611731,China;The Yangtze Delta Region Institute(Huzhou),University of Electronic Science and Technology of China,Huzhou 313001,China;Shanghai Aerospace Electronic Technology Institute,Shanghai 201109,China;Shanghai Spaceflight Institute of TT and C and Telecommunication,Shanghai 201109,China;School of Earth Sciences,Chengdu University of Technology,Chengdu 610059,China;Chongqing Landscape and Gardening Research Institute,Chongqing 401329)

机构地区：[1]电子科技大学资源与环境学院,成都611731 [2]电子科技大学长三角研究院(湖州),湖州313001 [3]上海航天电子技术研究所,上海201109 [4]上海航天测控通信研究所,上海201109 [5]成都理工大学地球科学学院,成都610059 [6]重庆市风景园林科学研究院,重庆401329

出　　处：《遥感学报》2023年第7期1534-1553,共20页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家重点研发计划(编号:2017YFB0503903);国家自然科学基金(编号:41871241)。

摘　　要：如何获取全天候地表温度对促进相关研究具有十分重要的意义。卫星热红外遥感地表温度虽然在反演理论方法和科学数据产品等方面已相对成熟,但热红外难以穿透云雾的特点导致反演得到的地表温度在云下有大量缺失;被动微波遥感虽能获取云下地表温度,但由于物理机制和成像方式的限制,存在空间分辨率不足、精度较低、轨道间隙较大等问题。通过卫星单源遥感难以直接获取中等空间分辨率、不受云雾影响的全天候地表温度。从原理、方法、产品和应用方面回顾并归纳了当前全天候地表温度的研究进展和面临的主要问题。基于有效观测重构和多源数据集成是获取全天候地表温度的两种基本途径,前者可分为时空插值和基于能量平衡方程插值两类,后者则可分为热红外与被动微波遥感集成、热红外与再分析资料集成。多源数据集成可以整合热红外遥感、被动微波遥感、再分析资料各自的优势,具有较大的研究价值和潜力。在产品方面,分析了当前学术界已公开发布的5种全天候地表温度产品。在应用方面,虽然部分全天候地表温度产品已在土壤湿度、地表蒸散发估算与同化方面取得了一些应用成果,但其在其他领域的应用亟待挖掘。此外,对全天候地表温度的未来研究方向和重点进行了讨论和展望。Land Surface Temperature(LST)is an important parameter for characterizing the surface–air exchange process,which plays an important role in climate change,ecological monitoring,hydrological simulation,and other studies.The traditional LST estimated from Thermal Infrared(TIR)remote sensing is mature in terms of retrieval methods,data production,and quality control.However,the TIR LST has considerable missing data under clouds because of the limitation that the TIR radiation from the ground surface cannot penetrate the clouds.In addition,Passive Microwave(PMW)remote sensing has disadvantages,such as strip gaps and coarse spatial resolution,because of the limitations of the physical mechanisms and imaging methods.Therefore,the all-weather LST unaffected by cloudiness must be obtained to support the subsequent studies.In the present study,we review and organize the basic principles and methods of the acquisition of all-weather LST.The methods are classified into two categories:(i)all-weather LST reconstruction from effective observation and(ii)multisource data integration.The comparative analysis indicates that multisource data integration can combine the advantages of TIR,PMW,and reanalysis data.Thus,it has the highest research value and potential for further research.Multisource data integration can be employed to obtain global longtime all-weather LST products characterized by spatial and temporal continuity.The LST retrieved from PMW remote sensing suffers from coarse spatial resolution and strip gaps.However,it is still an effective method of obtaining land surface information under clouds and an important input parameter for multisource data integration.The reconstructions of all-weather LST based on effective observation only apply to small areas with cloud cover in short periods.They are not practicable for long-term cloudy areas.From the analysis and conclusion,this study also collects and analyzes information about five currently released all-weather surface temperature products.The advantages and disadva

关 键 词：遥感 全天候地表温度 重构 插值 多源数据集成 

分 类 号：P2[天文地球—测绘科学与技术]