Near-Real-Time Estimation of Hourly All-Weather Land Surface Temperature by Fusing Reanalysis Data and Geostationary Satellite Thermal Infrared Data-Reference-Cited by-同舟云学术

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Near-Real-Time Estimation of Hourly All-Weather Land Surface Temperature by Fusing Reanalysis Data and Geostationary Satellite Thermal Infrared Data

Published:2023 Issue: Volume:61 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ding Lirong¹^ORCID,Zhou Ji¹^ORCID,Li Zhao-Liang²^ORCID,Zhu Xinming³^ORCID,Ma Jin¹^ORCID,Wang Ziwei¹^ORCID,Wang Wei¹^ORCID,Tang Wenbin¹^ORCID

Affiliation:

1. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China

2. ICube (UMR 7357), UdS, CNRS, CS 10413, Illkirch-Graffenstaden, France

3. Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of China

University of Electronic Science and Technology of China

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10246441.pdf?arnumber=10246441

Reference72 articles.

1. Impact of cirrus clouds on remote sensing of surface temperatures

2. A Data Fusion Method for Generating Hourly Seamless Land Surface Temperature from Himawari-8 AHI Data

3. Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats

4. Assessment of ground temperature simulation in China by different land surface models based on station observations;shuai;J Appl Meteorol Sci,2017

5. Modeling annual parameters of clear-sky land surface temperature variations and evaluating the impact of cloud cover using time series of Landsat TIR data

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1. An operational split-window algorithm for retrieving land surface temperature from FengYun-4A AGRI data;Remote Sensing Letters;2023-11-16

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