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

TitleSimultaneous retrieval of land surface temperature and emissivity from the FengYun-4A advanced geosynchronous radiation imager
Authors
Keywords4SAIL
emissivity
geostationary satellite
Land surface temperature
temperature and emissivity separation
water vapor scaling
Issue Date2022
Citation
International Journal of Digital Earth, 2022, v. 15, n. 1, p. 198-225 How to Cite?
AbstractThis 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.
Persistent Identifierhttp://hdl.handle.net/10722/323150
ISSN
2023 Impact Factor: 3.7
2023 SCImago Journal Rankings: 0.950
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, Weihan-
dc.contributor.authorShi, Jiancheng-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorZhou, Shugui-
dc.contributor.authorCheng, Jie-
dc.date.accessioned2022-11-18T11:55:04Z-
dc.date.available2022-11-18T11:55:04Z-
dc.date.issued2022-
dc.identifier.citationInternational Journal of Digital Earth, 2022, v. 15, n. 1, p. 198-225-
dc.identifier.issn1753-8947-
dc.identifier.urihttp://hdl.handle.net/10722/323150-
dc.description.abstractThis 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.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Digital Earth-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject4SAIL-
dc.subjectemissivity-
dc.subjectgeostationary satellite-
dc.subjectLand surface temperature-
dc.subjecttemperature and emissivity separation-
dc.subjectwater vapor scaling-
dc.titleSimultaneous retrieval of land surface temperature and emissivity from the FengYun-4A advanced geosynchronous radiation imager-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1080/17538947.2021.2019844-
dc.identifier.scopuseid_2-s2.0-85124230939-
dc.identifier.volume15-
dc.identifier.issue1-
dc.identifier.spage198-
dc.identifier.epage225-
dc.identifier.eissn1753-8955-
dc.identifier.isiWOS:000751775700001-

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