NDLI: Land Surface Emissivity retrieval from the measurements of FengYun-2 satellites

Content Provider	IEEE Xplore Digital Library
Author	Geng-Ming Jiang
Copyright Year	2011
Description	Author affiliation: Key Laboratory of Wave Scattering and Remote Sensing Information (MOE), Fudan University, Shanghai 200433, China (Geng-Ming Jiang)
Abstract	This work addressed the Land Surface Emissivity (LSE) retrieval over west China region from combined Middle InfraRed (MIR) and Thermal InfraRed (TIR) data of the Stretched Visible and Infrared Spin Scan Radiometer (SVISSR) aboard the Chinese first generation geostationary satellites FengYun-2C (FY-2C) and FengYun-2D (FY-2D). To improve the retrieval accuracy, the SVISSR/FY-2 infrared channels 1 (∼10.9µm), 2 (∼11.9µm), 4 (∼3.8µm) were intercalibrated with the well-calibrated AIRS/Aqua and MODIS/Terra channels in tropical regions using the Ray-Matching (RM) method and High Spectral Convolution (HSC) method. The atmospheric effects were removed from SVISSR/FY-2 data using MODTRAN fed with ECMWF (European Center for Median-range Weather Forecast) data. Based on the concept of Temperature Independent Spectral Indices of Emissivity (TISIE) constructed with one channel in MIR and the other in TIR, and assuming that the TISIEs do not change between day and night, the land surface emitted and reflected radiances in SVISSR/FY-2 MIR channel in a clear-sky daytime can be first separated, and then the directional reflectances at different angles were obtained. Finally, LSEs were modeled with the RossThick-LiSparse-R BRDF (Bidirectional Reflectance Distribution Function) model and the Kirchhoff's law.
Starting Page	3144
Ending Page	3147
File Size	363850
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049885
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Land surface MODIS Remote sensing Land surface temperature Satellites Satellite broadcasting Reflectivity SVISSR/FY-2 data Land surface emissivity intercalibration TISIE
Content Type	Text
Resource Type	Article

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