DocumentCode :
65640
Title :
Land-Surface Emissivity Retrieval in MSG–SEVIRI TIR Channels Using MODIS Data
Author :
Peres, Leonardo F. ; Libonati, Renata ; DaCamara, Carlos C.
Author_Institution :
Campus Ilha do Fundao, Dept. de Meteorol., Univ. Fed. do Rio de Janeiro, Rio de Janeiro, Brazil
Volume :
52
Issue :
9
fYear :
2014
fDate :
Sept. 2014
Firstpage :
5587
Lastpage :
5600
Abstract :
A procedure is presented that allows using information from the MODerate resolution Imaging Spectroradiometer (MODIS) sensor to improve the quality of emissivity maps for the Meteosat Second Generation/Spinning Enhanced Visible and Infrared Imager (SEVIRI) currently in use as input to a generalized split window (SW) algorithm for land-surface temperature (LST) retrievals in the operational chain of the Satellite Application Facility on Land Surface Analysis (LSA SAF). Information from MODIS is incorporated by means of linear regression models expressing emissivity in SEVIRI thermal-infrared channels as a linear combination of emissivities in MODIS bands. The linear models are applied to the MODIS emissivity product MOD11C3, and a comparison is performed with the operational LSA-SAF product. Special attention is devoted to the semiarid and arid regions of North Africa where emissivity is highly variable. When compared with the new emissivity maps, the LSA-SAF product displays more uniform emissivity values over these regions, leading to higher retrievals for all channels (bias around 0.03) except for IR3.9 (bias from -0.05 to -0.08). The root-mean-square error (RMSE) varies from 0.06 to 0.09 (0.02 to 0.03) for IR3.9 (IR10.8 and IR12.0) and is about 0.06 for IR8.7. The impact on LST is assessed by comparing the retrievals from a SW algorithm using as input the following: 1) the SEVIRI emissivity LSA-SAF product and 2) SEVIRI emissivity maps from MOD11C3. The uncertainty in the LSA-SAF emissivity product results into LST values with bias ranging from -0.4 to -1.0 K and RMSE around 1.6 K. The new emissivity maps based on MODIS data may be an alternative to the standard LSA-SAF emissivity product over semiarid and arid areas, which cover 26% of the land surfaces within the SEVIRI full disk.
Keywords :
atmospheric boundary layer; atmospheric techniques; atmospheric temperature; emissivity; infrared imaging; land surface temperature; radiometry; regression analysis; remote sensing; LSA SAF; LST retrieval; MOD11C3; MODIS band; MODIS data; MODIS emissivity product; MODIS sensor; MODerate resolution Imaging Spectroradiometer; MSG-SEVIRI TIR channels; Meteosat Second Generation-Spinning Enhanced Visible and Infrared Imager; North Africa; RMSE; SEVIRI thermal-infrared channel; Satellite Application Facility on Land Surface Analysis; emissivity map quality; generalized split window algorithm; land-surface emissivity retrieval; land-surface temperature; linear regression model; root mean square error; semiarid region; Land surface; Land surface temperature; Libraries; MODIS; Materials; Soil; Vegetation mapping; Emissivity; MSG/SEVIRI; TERRA/MODerate resolution Imaging Spectroradiometer (MODIS); land-surface temperature (LST); linear regression;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2013.2290778
Filename :
6715998
Link To Document :
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