Integration of satellite and rainfall data for the identification of flood events in developing countries

被引：2

作者：

Ajmar, Andrea ^{[1
]}

Albanese, Adriana ^{[1
]}

Disabato, Franca ^{[1
]}

Miotto, Filippo ^{[2
]}

机构：

[1] ITHACA, I-10138 Turin, Italy

[2] Politecn Torino, DITIC, I-10129 Turin, Italy

来源：

ITALIAN JOURNAL OF REMOTE SENSING-RIVISTA ITALIANA DI TELERILEVAMENTO | 2012年 / 44卷 / 01期

关键词：

floods; precipitation; MODIS; remote sensing; Bangladesh; scenario;

D O I：

10.5721/ItJRS201244113

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

The aim of the study is to identify flood events by comparing and integrating two methodologies based on different principles: the first is based on the identification of precipitation anomalies by the means of the analysis of pluviometric data, the second is focused on the analysis on remote sensed data for the detection of ground effects of flood events. Precipitation data were analysed for identifying and classifying events. MODIS archive images were classified in order to derive flood extents. This study is a preliminary stage aimed at the production of scenarios for flood events, in order to provide information in real-time in support of WFP emergency activity.

引用

页码：167 / 180

页数：14

共 19 条

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Ajmar A., 2010, P GI4DM 2010 C TOR 2

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