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Optimal Estimation of Surface Reflectance from Landsat TM Visible and Mid Infrared Data over Penang Island
Authors: H. S. Lim, M. Z. MatJafri, K. Abdullah, N. Mohd. Saleh
Abstract:
Retrieval of the surface reflectance is important in the remotely sensed data analysis to obtain the atmospheric reflectance or atmospheric correction. The relationship between visible and mid infrared reflectance over land was investigated and developed in this study. The surface reflectances of the two visible bands were measured using a handheld spectroradiometer collected around Penang Island. In this study, we use the assumption that the 2.1 μm band is not affected by aerosol and it is transparent to most aerosol types (except dust). Therefore the satellite observed signal is the same as the surface signal in 2.1 μm band. The correlation between the surface reflectance measured by the spectroradiometer in the blue and red region and the 2.1 μm observed by the satellite has been established. We investigate five dates of Landsat TM scenes in this study. The finding obtained by this study indicates that the surface reflectance can be retrieved from the 2.1 μm band.Keywords: Surface Reflectance, Landsat TM, Aerosol, Spectroradiometer.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1335376
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[1] Slater, J. F., Dibba, J. E., Campbell, J. W. and Moore, T. S. 2004, Physical and chemical properties of surface and column aerosols at a rural New England site during MODIS overpass, Remote Sensing of Environment, Volume 92, Issue 2, 173-180.
[2] Wald, L. and Baleynaud, J-M., 1999, Observing air quality over the city of Nantes by means of Landsat thermal infrared data, International Journal of Remote Sensing, 20 (5), 947-959.
[3] Kokhanovskya,b, A.A., Mayer, B. and Rozanov, V. V., 2005, A parameterization of the diffuse transmittance and reflectance for aerosol remote sensing problems, Atmospheric Research, 73, 37 - 43.
[4] Kaufman, Y. J., Wald, A. E., Remer, L. A., Gao, B. C., Li, R. R. and Flynn, L., 1997, The MODIS 2.1- m cannelÔÇöcorrelation with visible reflectance for use in remote sensing of aerosol, IEEE Transactions On Geoscience and Remote Sensing, V. 35, NO. 5, 1286 - 1298.
[5] Wen, G. Y., Tsay, S. C., Cahalan, R. F and Oreopolos, L., (1999). Path radiance technique for retrieving aerosol optical thickness over land, Journal of Geophysical Research, 104 (D24), 31321 - 31332.
[6] Vermote, E. and Roger, J. C., 1996, Radiative transfer modeling for calibration and atmospheric correction, Advances in the Use of NOAA AVHRR Data for Land Applications, 49-72.