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http://dx.doi.org/10.7780/kjrs.2009.25.2.193

The Characteristics of Visible Reflectance and Infra Red Band over Snow Cover Area  

Yeom, Jong-Min (BK21 Graduate School of Earth Environmental System, Pukyong National University)
Han, Kyung-Soo (Dept. of Geoinformatic Engineering, Pukyong National University)
Lee, Ga-Lam (BK21 Graduate School of Earth Environmental System, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.25, no.2, 2009 , pp. 193-203 More about this Journal
Abstract
Snow cover is one of the important parameters since it determines surface energy balance and its variation. To classify snow and cloud from satellite data is very important process when inferring land surface information. Generally, misclassified cloud and snow pixel can lead directly to error factor for retrieval of surface products from satellite data. Therefore, in this study, we perform algorithm for detecting snow cover area with remote sensing data. We just utilize visible reflectance, and infrared channels rather than using NDSI (Normalized Difference Snow Index) which is one of optimized methods to detect snow cover. Because COMS MI (Meteorological Imager) channels doesn't include near infra-red, which is used to produce NDSI. Detecting snow cover with visible channel is well performed over clear sky area, but it is difficult to discriminate snow cover from mixed cloudy pixels. To improve those detecting abilities, brightness temperature difference (BTD) between 11 and 3.7 is used for snow detection. BTD method shows improved results than using only visible channel.
Keywords
Snow cover; MODIS; visible; infra-red;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Bunting, J. T., R. V. Francis, and J. K. Thomas 1997. Meteorological satellite measurements and application. AFGL TR 77-0035, 17
2 Kukla, G. and D. A. Robinson, 1981. Climatic value of operational snow and ice charts. Glaciological Data Report, GD-11, 103-119
3 Rossow, W. B. and L. C. Garder, 1993. Cloud detection using satellite measurements of infrared and visible radiances for ISCCP. Journal of Climate, 6: 2341-2369   DOI   ScienceOn
4 Taylor, V. R. and L. L. Stowe, 1984. Atlas of reflectance patterns for uniform earth and cloud surfaces (NIMBUS-7 ERB-61 Days). NOAA Tech. Rep. NESDIS-10, U.S. Dept. of Commerce, Washington, DC, 66
5 Allen, R. C., P. A. Durkee, and C. H. Wash, 1990. Snow/cloud discrimination with multispectral satellite measurement. Journal of Applied meteorology, 29: 994-1004   DOI
6 한경수, 김영섭, 2009. SPOT/VEGETATION 영상을 이용한 눈과 구름의 분류 알고리즘, 대한원격탐사학회, 20(4): 235-244   과학기술학회마을   DOI
7 기상연구소, 2005. 통신해양기상위성 1호 기상자료처리시스템개발 (III), 기상청
8 Riggs, G. A., D. K. Hall, and V. Salomonsen, 1994. A snow index for the Landsat Thematic Mapper and moderate resolution imaging system. Proceeding of IGARSS '94, 1942-1944