Retrieving Land Surface Temperature From Chinese FY-3D MERSI-2 Data Using an Operational Split Window Algorithm
Medium resolution spectral imager II (MERSI-2) is a payload for the Chinese meteorological satellite Feng Yun 3 (FY-3). China's satellite remote sensing observation capabilities such as climate change research can be improved during MERSI-2's operation in orbit, and the sensor...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9416886/ |
| _version_ | 1811208982733258752 |
|---|---|
| author | Kai Tang Hongchun Zhu Ping Ni Ruibo Li Cheng Fan |
| author_facet | Kai Tang Hongchun Zhu Ping Ni Ruibo Li Cheng Fan |
| author_sort | Kai Tang |
| collection | DOAJ |
| description | Medium resolution spectral imager II (MERSI-2) is a payload for the Chinese meteorological satellite Feng Yun 3 (FY-3). China's satellite remote sensing observation capabilities such as climate change research can be improved during MERSI-2's operation in orbit, and the sensor is the world's first imaging instrument that can obtain a global infrared split-window data with a spatial resolution of 250 m. We developed an operational spilt-window (SW) algorithm to retrieve land surface temperature (LST) accurately from the MERSI-2 data. The SW algorithm coefficients were derived from a simulation dataset that was established with the Moderate spectral resolution atmospheric Transmittance model version 5.2 and the thermodynamic initial guess retrieval dataset. In the practical retrieval, the precise algorithm coefficients were determined by view zenith angle and atmospheric water vapor content (WVC), the atmospheric WVC were obtained from the ERA5 dataset, and the land surface emissivity was dynamically estimated using the advanced spaceborne thermal emission and reflection radiometer global emissivity dataset, considering the fractional of vegetation cover and snow cover. The retrieved LST compared with <italic>in situ</italic> LST, which was highly consistent with the <italic>in situ</italic> LST and that the root-mean-square error of the two is within 3 K. The retrieved LST was compared with the MYD11_L2 and MYD21_L2 LST products, and the results indicated that MERSI-2 LST was more consistent with the MYD21 LST. The operational SW algorithm for FY-3D MERSI-2 developed in this study could retrieve LST accurately and has a wide range of popularization and application values. |
| first_indexed | 2024-04-12T04:32:22Z |
| format | Article |
| id | doaj.art-61f7a33d41554ef7b6f11b25300ff1a9 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-04-12T04:32:22Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-61f7a33d41554ef7b6f11b25300ff1a92022-12-22T03:47:54ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01146639665110.1109/JSTARS.2021.30756989416886Retrieving Land Surface Temperature From Chinese FY-3D MERSI-2 Data Using an Operational Split Window AlgorithmKai Tang0https://orcid.org/0000-0001-6100-4441Hongchun Zhu1https://orcid.org/0000-0002-3506-0017Ping Ni2Ruibo Li3Cheng Fan4School of College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, ChinaSchool of College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, ChinaSchool of College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, ChinaSchool of College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, ChinaState Environment Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaMedium resolution spectral imager II (MERSI-2) is a payload for the Chinese meteorological satellite Feng Yun 3 (FY-3). China's satellite remote sensing observation capabilities such as climate change research can be improved during MERSI-2's operation in orbit, and the sensor is the world's first imaging instrument that can obtain a global infrared split-window data with a spatial resolution of 250 m. We developed an operational spilt-window (SW) algorithm to retrieve land surface temperature (LST) accurately from the MERSI-2 data. The SW algorithm coefficients were derived from a simulation dataset that was established with the Moderate spectral resolution atmospheric Transmittance model version 5.2 and the thermodynamic initial guess retrieval dataset. In the practical retrieval, the precise algorithm coefficients were determined by view zenith angle and atmospheric water vapor content (WVC), the atmospheric WVC were obtained from the ERA5 dataset, and the land surface emissivity was dynamically estimated using the advanced spaceborne thermal emission and reflection radiometer global emissivity dataset, considering the fractional of vegetation cover and snow cover. The retrieved LST compared with <italic>in situ</italic> LST, which was highly consistent with the <italic>in situ</italic> LST and that the root-mean-square error of the two is within 3 K. The retrieved LST was compared with the MYD11_L2 and MYD21_L2 LST products, and the results indicated that MERSI-2 LST was more consistent with the MYD21 LST. The operational SW algorithm for FY-3D MERSI-2 developed in this study could retrieve LST accurately and has a wide range of popularization and application values.https://ieeexplore.ieee.org/document/9416886/Feng Yun (FY)-3D medium resolution spectral imager II (MERSI-2)land surface emissivity (LSE)land surface temperature (LST)operational split-window (SW) algorithmvalidation |
| spellingShingle | Kai Tang Hongchun Zhu Ping Ni Ruibo Li Cheng Fan Retrieving Land Surface Temperature From Chinese FY-3D MERSI-2 Data Using an Operational Split Window Algorithm IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Feng Yun (FY)-3D medium resolution spectral imager II (MERSI-2) land surface emissivity (LSE) land surface temperature (LST) operational split-window (SW) algorithm validation |
| title | Retrieving Land Surface Temperature From Chinese FY-3D MERSI-2 Data Using an Operational Split Window Algorithm |
| title_full | Retrieving Land Surface Temperature From Chinese FY-3D MERSI-2 Data Using an Operational Split Window Algorithm |
| title_fullStr | Retrieving Land Surface Temperature From Chinese FY-3D MERSI-2 Data Using an Operational Split Window Algorithm |
| title_full_unstemmed | Retrieving Land Surface Temperature From Chinese FY-3D MERSI-2 Data Using an Operational Split Window Algorithm |
| title_short | Retrieving Land Surface Temperature From Chinese FY-3D MERSI-2 Data Using an Operational Split Window Algorithm |
| title_sort | retrieving land surface temperature from chinese fy 3d mersi 2 data using an operational split window algorithm |
| topic | Feng Yun (FY)-3D medium resolution spectral imager II (MERSI-2) land surface emissivity (LSE) land surface temperature (LST) operational split-window (SW) algorithm validation |
| url | https://ieeexplore.ieee.org/document/9416886/ |
| work_keys_str_mv | AT kaitang retrievinglandsurfacetemperaturefromchinesefy3dmersi2datausinganoperationalsplitwindowalgorithm AT hongchunzhu retrievinglandsurfacetemperaturefromchinesefy3dmersi2datausinganoperationalsplitwindowalgorithm AT pingni retrievinglandsurfacetemperaturefromchinesefy3dmersi2datausinganoperationalsplitwindowalgorithm AT ruiboli retrievinglandsurfacetemperaturefromchinesefy3dmersi2datausinganoperationalsplitwindowalgorithm AT chengfan retrievinglandsurfacetemperaturefromchinesefy3dmersi2datausinganoperationalsplitwindowalgorithm |