NDLI: Multi-sensor Snow Cover Mapping and Emergency Assessment of the Snow Disaster in Xinjiang

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2013 Fifth International Conference on Geo-Information Technologies for Natural Disaster Management

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Multi-sensor Snow Cover Mapping and Emergency Assessment of the Snow Disaster in Xinjiang

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Author Index

Multi-sensor Snow Cover Mapping and Emergency Assessment of the Snow Disaster in Xinjiang

Content Provider	IEEE Xplore Digital Library
Author	Zhang, X. Bao, H. Liu, Y.
Copyright Year	2013
Description	Author affiliation: Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China (Bao, H.; Liu, Y.) \|\| Geomatics Eng. & Technol. Res. Center, Shihezi Univ., Shihezi, China (Zhang, X.)
Abstract	Accurate and timely extraction of snow cover information is of great significance in the monitoring and assessment of snow disasters. However, remote sensing observations in snowing weathers were susceptible to the impacts of clouds and atmospheric water vapor, consequently snow parameters mapping from remote sensing data usually became difficult. This study presents an integrated approach for snow cover mapping by combining the two MODIS acquisitions and passive microwave sensor data collected in a day. For purposes of validation, the daily Terra and Aqua MODIS surface reflectance and AMSR-E brightness temperature data of January, 2010 were used in snow cover mapping and snow depth estimation in Xinjiang, China. Comparison between the results using the proposed approach and the observational data acquired in the metrological stations of Xinjiang indicates that the accuracy of the retrieval of snow parameters is 80.5%, and can combine the advantages of both optical and microwave remote sensors. Afterwards, the proposed approach was used to extract the snow covers and depth information in a typical heavy snow process in Xinjiang from Nov. 30 to Dec. 18, 2012. A simple assessment model was built based on the retrievals and used to evaluate the disaster situation. Field check in the north Xinjiang in January, 2013 showed that the results could be used in the early evaluation of the snow disaster management.
Starting Page	99
Ending Page	107
File Size	477358
Page Count	9
File Format	PDF
e-ISBN	9781479922697
DOI	10.1109/GIT4NDM.2013.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-09
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Disaster assessment Snow Clouds Multi-sensor Snow cover mapping Brightness temperature Sensors Data mining Snow depth MODIS Remote sensing
Content Type	Text
Resource Type	Article

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