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冰雪的动态变化是环境变化的重要指标。利用地球观测系统中分辨率成像光谱仪 (EOS- MODIS)数据监测冰雪的季节变化是目前国际上该领域研究的重要方向之一。本文利用中国科学院地理科学与资源研究所全球变化信息研究中心“中美联合 EOS- MODIS地面站”的数据 ,选择青藏高原东部工布江达附近常年积雪区为试点地区 ,通过对 2 0 0 1年 4月、6月和 7月等三个不同时相 EOS- MODIS数据的处理和分析 ,探讨利用 EOS- MODIS自动提取冰雪空间分布数据的方法。研究结果表明 ,利用 EOS- MODIS可见光、近红外、热红外通道提取冰雪的空间分布和季节变化信息是可行的
The dynamic change of ice and snow is an important indicator of environmental change. Using the EOS-MODIS data to monitor seasonal changes in snow and ice is one of the most important research directions in this field in the world at present. In this paper, we use the data of “Sino-U.S. Joint EOS-MODIS Ground Station” of Global Change Information Research Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences to select the perennial snow-covered area around the Bundajiangda area in the eastern Tibetan Plateau as a pilot area. Month, June and July of EOS-MODIS data processing and analysis of three different phases, to explore the use of EOS-MODIS automatic extraction of snow and ice spatial distribution of data. The results show that it is feasible to use EOS-MODIS visible light, near-infrared and thermal infrared channels to extract the spatial and seasonal variations of ice and snow