A Practical Split-Window Algorithm for Retrieving Land Surface Temperature from Landsat-8 Data and a Case Study of an Urban Area in China

This paper proposes a practical split-window algorithm (SWA) for retrieving land surface temperature (LST) from Landsat-8 Thermal Infrared Sensor (TIRS) data. This SWA has a universal applicability and a set of parameters that can be applied when retrieving LSTs year-round. The atmospheric transmitt...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 7; no. 4; pp. 4371 - 4390
Main Authors:	Jin, Meijun, Li, Junming, Wang, Caili, Shang, Ruilan
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-04-2015
Subjects:	Accuracy Algorithms Atmospherics Computer simulation Emissivity Environmental studies Errors land surface emissivity (LSE) Land surface temperature land surface temperature (LST) Landsat Landsat-8 Mathematical models Remote sensing split-window algorithm (SWA) Urban areas
Online Access:	Get full text
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