Development of a split-window algorithm for estimating sea surface temperature from the Chinese Gaofen-5 data-Reference-Cited by-同舟云学术

Development of a split-window algorithm for estimating sea surface temperature from the Chinese Gaofen-5 data

Published:2018-08-02 Issue:5-6 Volume:40 Page:1621-1639
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Chen Yuanyuan¹²³,Duan Si-Bo¹,Labed Jélila³,Li Zhao-Liang¹³

Affiliation:

1. Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China

2. Key Laboratory of Cultivated Land Use, Ministry of Agriculture and Rural Affairs, P. R. China, Chinese Academy of Agricultural Engineering, Beijing, China

3. Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie, University de Strasbourg, Illkirch, France

Funder

National high-resolution Earth observation project

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1488295

Reference37 articles.

1. Estimation of sea surface temperature from space

2. ENSO and ENSO-related Predictability. Part I: Prediction of Equatorial Pacific Sea Surface Temperature with a Hybrid Coupled Ocean–Atmosphere Model

3. Satellite-derived sea surface temperatures: Current status

4. The impact of spectral emissivity on the measurement of land surface temperature from a satellite

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