Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66647
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Title: Disaggregation of remotely sensed land surface temperature : a new dynamic methodology
Authors: Zhan, W
Huang, F
Quan, JL
Zhu, XL 
Gao, L
Zhou, J
Ju, WM
Issue Date: 27-Sep-2016
Source: Journal of geophysical research. Atmospheres, 27 Sept. 2016, v. 121, no. 18, p. 10538-10554
Keywords: Land surface temperature
Dynamic disaggregation
Diurnal temperature cycle
Annual temperature cycle
Temperature cycle model
Surface energy balance
Publisher: Wiley-Blackwell
Journal: Journal of geophysical research. Atmospheres 
ISSN: 2169-897X
EISSN: 2169-8996
DOI: 10.1002/2016JD024891
Rights: © 2016. American Geophysical Union. All Rights Reserved.
This is the peer reviewed version of the following article: Zhan, W., Huang, F., Quan, J., Zhu, X., Gao, L., Zhou, J., and Ju, W. (2016), Disaggregation of remotely sensed land surface temperature: A new dynamic methodology, J. Geophys. Res. Atmos., 121, 10,538– 10,554, which has been published in final form at https://doi.org/10.1002/2016JD024891. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
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