Predicting snow density using meteorological data
نویسندگان
چکیده
منابع مشابه
snow runoff modeling using meteorological, geological and remotely sensed data
geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...
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a State Key Laboratory of Remote Sensing Science, Research Center for Remote Sensing and GIS, and School of Geography, Beijing Normal University, Beijing 100875, China b State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China c National Satellite Meteorological Center, Beijing 100081, China d Earth Science...
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Snow cover mapping is a very important parameter for snowmelt runoff modeling and forecasting. Snow cover information is also useful for managing transportation and avalanche forecasting. This study will discuss the capability of full polarimetric L-band ALOS PALSAR data for snow classification. Therefore, Polarimetric decomposition and the complex Wishart classifier will be applied on ALOSPALS...
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In the atmospheric science, the scale of meteorological data is massive and growing rapidly. K-means is a fast and available cluster algorithm which has been used in many fields. However, for the large-scale meteorological data, the traditional K-means algorithm is not capable enough to satisfy the actual application needs efficiently. This paper proposes an improved MK-means algorithm (MK-mean...
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ژورنال
عنوان ژورنال: Meteorological Applications
سال: 2007
ISSN: 1350-4827,1469-8080
DOI: 10.1002/met.40