Land Surface Temperature Retrieval From Landsat 9 TIRS-2 Data Using Radiance-Based Split-Window Algorithm-Reference-Cited by-同舟云学术

Land Surface Temperature Retrieval From Landsat 9 TIRS-2 Data Using Radiance-Based Split-Window Algorithm

Published:2023 Issue: Volume:16 Page:1100-1112
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Wang Mengmeng¹^ORCID,Li Miao¹,Zhang Zhengjia¹^ORCID,Hu Tian²^ORCID,He Guojin³^ORCID,Zhang Zhaoming⁴^ORCID,Wang Guizhou³^ORCID,Li Hua³^ORCID,Tan Junlei⁵^ORCID,Liu Xiuguo¹^ORCID

Affiliation:

1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

2. Remote Sensing and Natural Resources Modeling, Department ERIN, LIST, Belvaux, Luxembourg

3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

4. Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Beijing, China

5. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

Funder

Hainan Provincial Natural Science Foundation of China

Open Research Fund of Key Laboratory of Digital Earth Science

Aerospace Information Research Institute Chinese Academy of Sciences

Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10002323.pdf?arnumber=10002323

Reference66 articles.

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4. Climate Change Will Affect the Asian Water Towers

5. Land Surface Temperature Retrieval from Landsat 8 TIRS—Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method

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