NDLI: A Split-Window Algorithm for Estimating LST From Meteosat 9 Data: Test and Comparison With <emphasis emphasistype=italic>In Situ</emphasis> Data and MODIS LSTs

Content Provider	IEEE Xplore Digital Library
Author	Atitar, M. Sobrino, J.A.
Copyright Year	2004
Abstract	The main purpose of this letter is to give an operational algorithm for retrieving the land surface temperature (LST) using the Spinning Enhanced Visible and Infrared Imager data onboard the Meteosat Second Generation (MSG2) satellite. The algorithm is a split-window method using the two thermal infrared channels IR10.8 and IR12.0. The MODTRAN 4.0 code was used to obtain numerical coefficients of the algorithm proposed. The results show that for viewing angles lower than 50^deg the algorithm is capable of producing LST with a standard deviation of 0.7 K and a root-mean-square error (rmse) of 1.3 K. The algorithm has been applied to a series of MSG2 images obtained from an MSG antenna system installed at the imaging processing laboratory (IPL) in the University of Valencia, Valencia, Spain. The LST product has been evaluated using the in situ data from the European Space Agency (ESA) field campaign named CarboEurope, FLEx and Sentinel-2 (CEFLES2) carried out in 2007 in Bordeaux (France), and using the official LST MODIS product and another algorithm to retrieve LST from the MODIS data. This evaluation has been applied over different surfaces and under different viewing angles. The results show an rmse of 1.9 K for the in situ data, 1.5 K for the official LST MODIS product, and 0.7 K compared with that of the MODIS LST algorithm.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	122
Ending Page	126
Page Count	5
File Size	250614
File Format	PDF
ISSN	1545598X
Volume Number	6
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Land surface temperature MODIS Information retrieval Land surface Image retrieval Spinning Infrared imaging Satellites Laboratories split window (SW) Land surface temperature (LST) Meteosat Second Generation (MSG) Moderate Resolution Imaging Spectroradiometer (MODIS) Spinning Enhanced Visible and Infrared Imager (SEVIRI)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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