New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs

New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs

Land surface temperature (LST) retrieval from thermal infrared (TIR) remote sensing image requires atmospheric and land surface emissivity (LSE) data that are sometimes unattainable. To overcome this problem, a hybrid algorithm is developed to retrieve LST without atmospheric correction and LSE data...

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Dades bibliogràfiques
Autors principals: Huazhong Ren, Jiaji Dong, Rongyuan Liu, Yitong Zheng, Jinxin Guo, Shanshan Chen, Jing Nie, Yan Zhao
Format: Article
Idioma:English
Publicat: Taylor & Francis Group 2020-12-01
Col·lecció:International Journal of Digital Earth
Matèries:
land surface temperature and emissivity
tes algorithm
split-window algorithm
hybrid algorithm
Accés en línia:http://dx.doi.org/10.1080/17538947.2020.1731619

Internet

http://dx.doi.org/10.1080/17538947.2020.1731619

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