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A two-step deep learning framework for mapping gapless all-..:
Wu, Penghai
;
Su, Yang
;
Duan, Si-bo
...
Remote Sensing of Environment. 277 (2022) - p. 113070 , 2022
Link:
https://doi.org/10.1016/j.rse.2022.113070
RT Journal T1
A two-step deep learning framework for mapping gapless all-weather land surface temperature using thermal infrared and passive microwave data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.rse.2022.113070&Exemplar=1&LAN=DE A1 Wu, Penghai A1 Su, Yang A1 Duan, Si-bo A1 Li, Xinghua A1 Yang, Hui A1 Zeng, Chao A1 Ma, Xiaoshuang A1 Wu, Yanlan A1 Shen, Huanfeng PB Elsevier BV YR 2022 SN 0034-4257 JF Remote Sensing of Environment VO 277 SP 113070 LK http://dx.doi.org/https://doi.org/10.1016/j.rse.2022.113070 DO https://doi.org/10.1016/j.rse.2022.113070 SF ELIB - SuUB Bremen
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