Uncertainties Analysis and Improvement of Smoothness TES Algorithm Based on Simulation Hyper-Cam-LW Airborne Imagery-Reference-Cited by-同舟云学术

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Uncertainties Analysis and Improvement of Smoothness TES Algorithm Based on Simulation Hyper-Cam-LW Airborne Imagery

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Gao Lyuzhou¹^ORCID,Cao Liqin²^ORCID,Sun Hongquan¹,Wang Zhonggen¹,Zhong Yanfei³^ORCID

Affiliation:

1. National Institute of Natural Hazards, Ministry of Emergency Management of People’s Republic of China, Beijing, China

2. School of Resource and Environmental Sciences, Wuhan University, Wuhan, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

Funder

National Key Research and Development Project

National Natural Science Foundation of China

Open Fund of Key Laboratory of National Geographical Census and Monitoring, Ministry of Natural Resources

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10440098.pdf?arnumber=10440098

Reference15 articles.

1. Satellite-derived land surface temperature: Current status and perspectives

2. Longwave Infrared Hyperspectral Imaging: Principles, Progress, and Challenges

3. Plant species' spectral emissivity and temperature using the hyperspectral thermal emission spectrometer (HyTES) sensor

4. A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales

5. Quantifying uncertainties in land surface temperature and emissivity retrievals from ASTER and MODIS thermal infrared data

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