A DYNAMIC ALGORITHM FOR MAPPING OF SNOW COVER USING SSMI DATA

被引：1

作者：

De Seve, Danielle ^{[1
]}

Vachon, Francois ^{[1
]}

Choquette, Yves ^{[1
]}

机构：

[1] Inst Rech IREQ Hydroquebec, Varennes, PQ, Canada

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

Snow extend; passive microwave; K-mean classification; ensemble mapping;

D O I：

10.1109/IGARSS.2012.6352520

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Ongoing information on snow distribution is a crucial issue for Hydro-Quebec in terms of reservoir management late in the winter or in the early months of spring. A dynamic approach that use passive microwave data have been evaluated over province of Quebec (Canada). The method combine a K-mean algorithm and ensemble mapping approach. The first results show that the methods can perform a realistic snow mapping, and unlike standard approaches, can quantify some parts of the uncertainty which is an advantage in forecasting.

引用

页码：4875 / 4878

页数：4

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