Study on dynamic snow monitoring by multisensor remote sensing data

Xiaoguang Jiang; Lingli Tang; Hong Ma; Sufen Yu

doi:10.1117/12.539037

25 September 2003 Study on dynamic snow monitoring by multisensor remote sensing data

Xiaoguang Jiang, Lingli Tang, Hong Ma, Sufen Yu

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539037
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Xiaoguang Jiang, Lingli Tang, Hong Ma, and Sufen Yu "Study on dynamic snow monitoring by multisensor remote sensing data", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539037

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KEYWORDS

Remote sensing

Databases

Data acquisition

Synthetic aperture radar

Geographic information systems

Image processing

Associative arrays

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