A Physical-Based Framework for Estimating the Hourly All-Weather Land Surface Temperature by Synchronizing Geostationary Satellite Observations and Land Surface Model Simulations-Reference-Cited by-同舟云学术

A Physical-Based Framework for Estimating the Hourly All-Weather Land Surface Temperature by Synchronizing Geostationary Satellite Observations and Land Surface Model Simulations

Published:2022 Issue: Volume:60 Page:1-22
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhou Shugui¹^ORCID,Cheng Jie²^ORCID,Shi Jiancheng³^ORCID

Affiliation:

1. School of Geo-Science and Technology, Zhengzhou University, Zhengzhou, China

2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing Normal University, Beijing, China

3. National Space Science Center, Chinese Academy of Sciences, Beijing, China

Funder

Second Tibetan Plateau Scientific Expedition and Research Program

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09953127.pdf?arnumber=9953127

Reference76 articles.

1. Use of a Kalman filter for the retrieval of surface BRDF coefficients with a time-evolving model based on the ECOCLIMAP land cover classification