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NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL
作者姓名:CAO Yun-gang    LIU Chuang
作者单位:1. Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,P .R. China; 2. Graduate School of Chinese Academy of Sciences,Beijing 100049,P. R. China
摘    要:1INTRODUCTION Snow is an important component of the Earth's surface. Up to 50×106km2(34%) ofthe Earth's land surface is sea- sonally snow-covered (VIKHAMAR and SOLBERG, 2002).Comparedtootherlandcovers,snowcoverextent varies dramatically on very short time scales (hours- months). Its presence affects physical, chemical and bio- logical processes at many spatial scales and has impor- tant social impacts. At the global scale, its high albedo strongly influences the Earth's radiation …

关 键 词:反射系数  数值模拟    遥感技术  图像处理
文章编号:1002-0063(2006)02-0171-05
收稿时间:2005-12-08

Normalized difference snow index simulation for snow-cover mapping in forest by geosail model
CAO Yun-gang,,LIU Chuang.NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL[J].Chinese Geographical Science,2006,16(2):171-175.
Authors:Yun-gang Cao  Chuang Liu
Institution:(1) Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Beijing, P. R. China;(2) Graduate School of Chinese Academy of Sciences, 100049 Beijing, P. R. China
Abstract:The snow-cover mapping in forest area is always one of the difficult points for optical satellite remote sensing. To investigate reflectance variability and to improve the mapping of snow in forest area, GeoSail model was used to simulate the reflectance of a snow-covered forest. Using this model, the effects of varying canopy density, solar illumination and view geometry on the performance of the MODIS (Moderate-resolution Imaging Spectroradiometer) snow-cover mapping algorithm were investigated. The relationship between NDSI (Normalized Difference Snow Index), NDVI (normalized Difference Vegetation Index) and snow fraction was discussed in detail. Results indicated that the weak performance would be achieved if fixed criteria were used for different regions especially in the complicated land cover components. Finally, some suggestions to MODIS SNOWMAP algorithm were put forward to improve snow mapping precision in forest area based on the simulation, for example, new criteria should be used in coniferous forest, that is, NDSI greater than 0.3 and NDVI greater than zero. Otherwise, a threshold on view zenith angle may be used in the criteria such as 45°. Biography: CAO Yun-gang (1978–), male, a native of Chengdu of Sichuan Province, Ph.D. candidate, specialized in remote sensing modeling and application. E-mail: yungang78@163.com
Keywords:snow cover mapping  reflectance model  MODIS
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