Simultaneous retrieval of land surface temperature and emissivity from the FengYun-4A advanced geosynchronous radiation imager  

作　　者：Weihan Liu Jiancheng Shi Shunlin Liang Shugui Zhou Jie Cheng 

机构地区：[1]State Key Laboratory of Remote Sensing Science,Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences,Beijing,People’s Republic of China [2]Institute of Remote Sensing Science and Engineering,Faculty of Geographical Science,Beijing Normal University,Beijing,People’s Republic of China [3]Beijing Engineering Research Center for Global Land Remote Sensing Products,Beijing Normal University,Beijing,People’s Republic of China [4]National Space Science Center,Chinese Academy of Sciences,Beijing,People’s Republic of China [5]Department of Geographical Science,University of Maryland,College Park,MD,USA [6]School of the Geo-Science & Technology,Zhengzhou University,Zhengzhou,People’s Republic of China

出　　处：《International Journal of Digital Earth》2022年第1期198-225,共28页国际数字地球学报（英文）

基　　金：supported in part by the National Natural Science Foundation of China under Grants 42192581,42090012,and 42071308;in part by the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)under Grant 2019QZKK0206;in part by the open fund of Beijing Engineering Research Center for Global Land Remote Sensing Products.

摘　　要：This paper extends a new temperature and emissivity separation(TES)algorithm for retrieving land surface temperature and emissivity(LST and LSE)to the Advanced Geosynchronous Radiation Imager(AGRI)onboard Fengyun-4A,China’s newest geostationary meteorological satellite.The extended TES algorithm was named the AGRI TES algorithm.The AGRI TES algorithm employs a modified water vapor scaling(WVS)method and a recalibrated empirical function over vegetated surfaces.In situ validation and cross-validation are utilized to investigate the accuracy of the retrieved LST and LSE.LST validation using the collected field measurements showed that the mean bias and RMSE of AGRI TES LST are 0.58 and 2.93 K in the daytime and−0.30 K and 2.18 K at nighttime,respectively;the AGRI official LST is systematically underestimated.Compared with the MODIS LST and LSE products(MYD21),the average bias and RMSE of AGRI TES LST are−0.26 K and 1.65 K,respectively.The AGRI TES LSE outperforms the AGRI official LSE in terms of accuracy and spatial integrity.This study demonstrates the good performance of the AGRI TES algorithm for the retrieval of high-quality LST and LSE,and the potential of the AGRI TES algorithm in producing operational LST and LSE products.

关 键 词：Land surface temperature EMISSIVITY temperature and emissivity separation 4SAIL water vapor scaling geostationary satellite 

分 类 号：P4[天文地球—大气科学及气象学] TP39[自动化与计算机技术—计算机应用技术]