数字农科院2.0

Retrieval of land surface temperature from FY3D MERSI-II based on re-fitting Split Window Algorithm

文献类型： 外文期刊

作者： Zhang Dejun;Yang Shiqi;Sun Liang;Liu Xiaoran;Tang Shihao;Zhu Hao;Ye Qinyu;Zhang Xinyu

作者机构：

关键词： FY3D;MERSI-II;split-window;land surface temperature

期刊名称： EUROPEAN JOURNAL OF REMOTE SENSING

ISSN：

年卷期： 2022 年

页码：

收录情况： 不在遴选数据库范围

摘要： Medium Resolution Spectral Imager II (MERSI-II) is one of the core sensors mounted on the FengYun-3D (FY3D) satellite. Two adjacent 250 m long-wave thermal infrared (TIR) channels provide a considerable opportunity for retrieving Land Surface Temperature (LST) with high spatiotemporal resolution. In this paper, Thermodynamic Initial Guess Retrieval (TIGR) dataset and MODTRAN 4.0 model were used to re-fit the parameters of the Split-Window (SW) algorithm suitable for MERSI-II TIR channels, and then the daily 250 m resolution MERSI-II LST product was retrieved. The Radiance-based (R-based) method results showed that the bias value between LSTs simulated by MODTRAN4.0 and the input LSTt is 0.16 K, and the MAE value is 0.38 K. Inter-comparison method results showed that the MERSI-II LST and MODIS LST products were consistent in spatial distribution, but there were certain differences between MODIS LST and MERSI-II LST at different land cover types. T-based method results showed that R values between the site-observed LST and MERSI-II LST retrieved by SW algorithm exceeded 0.92, the bias value was between 3.6 K and 4.4 K, and the MAE value was between 2.6 K and 4.5 K. The above results indicating that the SW algorithm proposed in this study has good accuracy and applicability.

分类号：

  • 相关文献

[1]Spatiotemporal Variation of Land Surface Temperature Retrieved from FY-3D MERSI-II Data in Pakistan. Abbasi B.,Qin Z.,Du W.,Fan J.,Li S.,Zhao C.. 2022

[2]A robust framework for accurate land surface temperature retrieval: Integrating split-window into knowledge-guided machine learning approach. Yuanliang Cheng,Hua Wu,Zhao Liang Li,Frank M. Göttsche,Xingxing Zhang,Xiujuan Li,Huanyu Zhang,Yitao Li. 2025

[3]An Algorithm for Retrieving Land Surface Temperatures Using VIIRS Data in Combination with Multi-Sensors. Xia, Lang,Mao, Kebiao,Ma, Ying,Zhao, Fen,Qin, Zhihao,Jiang, Lipeng,Shen, Xinyi. 2014

[4]Comparison of split window algorithms for land surface temperature retrieval from NOAA-AVHRR data. Qin, ZH,Xu, B,Zhang, WC,Li, WJ,Chen, ZX,Zhang, HO. 2004

[5]Generation of an all-weather land surface temperature product from MODIS and AMSR-E data. Duan, Si-Bo,Li, Zhao-Liang,Leng, Pei,Han, Xiao-Jing,Chen, Yuanyuan,Li, Zhao-Liang. 2015

[6]TEMPORAL NORMALIZATION OF TERRA-MODIS LAND SURFACE TEMPERATURE PRODUCT. Li, Zhao-Liang,Duan, Si-Bo,Wu, Hua,Tang, Bo-Hui,Duan, Si-Bo,Duan, Si-Bo,Li, Zhao-Liang. 2013

[7]Estimation of land surface emissivity for Landsat TM6 and its application to Lingxian Region in north China. Qin, Zhihao,Li, Wenjuan,Gao, Maofang,Zhang, Hong'ou,Qin, Zhihao. 2006

[8]An Efficient Approach for Pixel Decomposition to Increase the Spatial Resolution of Land Surface Temperature Images from MODIS Thermal Infrared Band Data. Wang, Fei,Song, Caiying,Zhao, Shuhe,Qin, Zhihao,Li, Wenjuan,Karnieli, Arnon,Zhao, Shuhe. 2015

[9]A framework for the retrieval of all-weather land surface temperature at a high spatial resolution from polar-orbiting thermal infrared and passive microwave data. Duan, Si-Bo,Li, Zhao-Liang,Leng, Pei,Li, Zhao-Liang.

[10]Impacts of land use/cover change on spatial variation of land surface temperature in Urumqi, China. Pei, Huan,Qin, Zhihao,Zhang, Chunling,Lu, Liping,Qin, Zhihao,Xu, Bin,Gao, Maofang,Fang, Shifeng. 2007

[11]Reconstructing daily clear-sky land surface temperature for cloudy regions from MODIS data. Sun, Liang,Chen, Zhongxin,Wang, Limin,Sun, Liang,Gao, Feng,Anderson, Martha,Yang, Yun,Song, Lisheng,Hu, Bo.

[12]Retrieving Land Surface Temperature from Hyperspectral Thermal Infrared Data Using a Multi-Channel Method. Zhong, Xinke,Labed, Jelila,Huo, Xing,Ren, Chao,Li, Zhao-Liang. 2016

[13]Generalized Split-Window algorithm for estimate of Land Surface Temperature from Chinese geostationary FengYun meteorological satellite (FY-2C) data. Tang, Bohui,Li, Zhao-Liang,Xia, Jun,Tang, Bohui,Bi, Yuyun,Li, Zhao-Liang,Bi, Yuyun. 2008

[14]Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm. Rozenstein, Offer,Karnieli, Arnon,Qin, Zhihao,Derimian, Yevgeny. 2014

[15]Evaluation Of Machine Learning Algorithms In Spatial Downscaling Of Modis Land Surface Temperature. Wu, Hua,Duan, Si-Bo,Li, Zhao-Liang,Wu, Hua,Li, Zhao-Liang,Li, Wan,Li, Wan,Ni, Li,Wu, Hua. 2019

[16]Generation of a time-consistent land surface temperature product from MODIS data. Duan, Si-Bo,Tang, Bo-Hui,Wu, Hua,Tang, Ronglin,Duan, Si-Bo,Duan, Si-Bo,Li, Zhao-Liang,Li, Zhao-Liang.

[17]Ground temperature measurement and emissivity determination to understand the thermal anomaly and its significance on the development of an arid environmental ecosystem in the sand dunes across the Israel-Egypt border. Qin, Z,Berliner, PR,Karnieli, A.

[18]An algorithm to retrieve land surface temperature from ASTER thermal band data for agricultural drought monitoring. Qin, Zhihao,Li, Wenjuan,Gao, Maofang,Zhang, Hong'ou,Qin, Zhihao. 2006

[19]ESTIMATION OF SURFACE SOIL MOISTURE USING FENGYUN-2E (FY-2E) DATA: A CASE STUDY OVER THE SOURCE AREA OF THE YELLOW RIVER. Wang, Yawei,Song, Xiaoning,Sun, Chuan,Liu, Xin,Leng, Pei. 2016

[20]A NEURAL NETWORK BASED METHOD FOR LAND SURFACE TEMPERATURE RETRIEVAL FROM AMSR-E PASSIVE MICROWAVE DATA. Gao, Caixia,Qian, Yonggang,Ma, Lingling,Gao, Caixia,Jiang, Xiaoguang,Qiu, Shi,Li, Zhao-liang,Li, Zhao-liang. 2013

作者其他论文 更多>>