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
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
摘要： 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%.
关键词：Snow;Remote sensing;Environment and disasters monitoring microsatellite
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%.
Key words：Snow;Remote sensing;Environment and disasters monitoring microsatellite
WANG Li-tao1, ZHOU Yi1, ZHOU Qiang2, WANG Shi-xin1, YAN Fu-li1 . Snow Cover Monitoring Method by Using HJ-1 Satellite Data[J]. 光谱学与光谱分析, 2011, 31(08): 2226-2232.
WANG Li-tao1, ZHOU Yi1, ZHOU Qiang2, WANG Shi-xin1, YAN Fu-li1 . Snow Cover Monitoring Method by Using HJ-1 Satellite Data. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(08): 2226-2232.
[1] Dozier J. Remote Sesning of Enviroment, 1989, 28: 9. [2] CAO Mei-sheng, LI Xin, CHEN Xian-zhang et al. Remote Sensing of Cryosphere. Beijing：Science Press, 2006. [3] Tedesco M, Miller J. Remote Sensing of Environment, 2007, 111(2-3): 382. [4] Shi J C, Dozier J. Remote Sensing of Environment, 1997, 59(2): 294. [5] Gutman G G. International Journal of Remote Sensing, 1992, 13(2): 209. [6] Gesell G. International Journal of Remote Sensing, 1989, 10(4,5)：897. [7] Droz M, Wunderle S. Bern: Proceedings of EARSeL-LISSIG-Workshop Observing our Cryosphere from Space, 2002. 149. [8] Baum B A, Trepte Q. Journal of Atmospheric and Oceanic Technology, 1996, 16(6): 793. [9] Xiao X，Shen Z，Qin X. International Journal of Remote Sensing, 2001, 22: 2479. [10] Hall D K，Riggs G A，Salomonson V V，et al. Proceedings of the IAHS Hydrology 2000 Conference, 2001. 55. [11] Salomonson V V, Appel I. Remote Sensing of Environment, 2004, 89: 351. [12] Mishraa V D, Negia H S, Rawatb A K, et al. International Journal of Remote Sensing, 2009, 30(18): 4707. [13] Hall D K, Riggs G A, Salomonson V V. Algorithm Theoretical Basis Document (ATBD) 5 for the MODIS Snow and Sea Ice Mapping Algorithms, Available at: http://modis.gsfc.nasa.gov/data/atbd/atbd_mod10.pdf, 2001. [14] LU Hong-wei, KUN Hua-Feng, ZHAO Yi-zhu et al. Principle & Applications of Computer Multi-Media. Beijing：Tsinghua University Press, 2006. [15] Klein A G, Hall D K, Riggs G A. Hydrological Processes, 1998, 12(10): 1723.
