| 光谱学与光谱分析 |
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| Snow Cover Monitoring Method by Using HJ-1 Satellite Data |
| WANG Li-tao1, ZHOU Yi1, ZHOU Qiang2, WANG Shi-xin1, YAN Fu-li1 |
1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China
2. Department of Earth System Science & Policy, University of North Dakota, Grand Forks 58202-8193, US |
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Abstract Environment and Disasters Monitoring Microsatellite Constellation with high spatial resolution, high temporal resolution and high spectral resolution characteristics was put forward by China. HJ-1B satellite, one of the first two small optical satellites, had a CCD camera and an infrared camera, which would provide an important new data source for snow monitoring. In the present paper, through analyzing the sensor and data characteristics of HJ-1B, we proposed a new infrared normalized difference snow index (INDSI) referring to the traditional normalized difference snow index (NDSI). The accuracy of these two automatic snow recognition methods was estimated based on a supervised classification method. The accuracy of the traditional NDSI method was 97.761 9% while that of the new INDSI method was 98.617 1%.
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Received: 2010-08-03
Accepted: 2010-11-25
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Corresponding Authors:
WANG Li-tao
E-mail: wanglt@irsa.ac.cn
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