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Proceedings Paper

Study on dynamic snow monitoring by multisensor remote sensing data
Author(s): Xiaoguang Jiang; Lingli Tang; Hong Ma; Sufen Yu
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Paper Abstract

Observation by limited field observational stations is the major conventional method of research on snow and relevant problem, such as flood caused by melting snow. However, observation on only several ground observatories cannot provide enough information for large scale region accurately and timely. The advanced technology of remote sensing and geographic information system (GIS) is an effective tool to extract snow information and monitor snow change quickly and dynamically. This paper discusses the method of snow mapping and establishing dynamic snow monitoring information system by using multisensor, multispectral and multitemporal remote sensing data (NOAA/AVHRR, satellite borne SAR and TM).The study results show that the use of multisensor data and technique of GIS, combined with relative contemporaneous field observational data, enables the snow monitoring more rapid and accurate.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539037
Show Author Affiliations
Xiaoguang Jiang, China Remote Sensing Satellite Ground Station, CAS (China)
Lingli Tang, China Remote Sensing Satellite Ground Station, CAS (China)
Hong Ma, Xinjiang Institute of Ecology and Geography (China)
Sufen Yu, Xinjiang Institute of Ecology and Geography (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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