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Proxy data of surface water floods in rural areas: application to the evaluation of the IRIP intense runoff mapping method based on rainfall radar, satellite remote sensing and machine learning techniques

Authors :
Breil, Pascal
Cerbelaud, Arnaud
Blanchet, Gwendoline
Briottet, Xavier
Roupioz, Laure
Breil, Pascal
Publication Year :
2022
Publisher :
HAL CCSD, 2022.

Abstract

Materials and Methods The IRIP© hydrological geomatics mapping model, or "Indicator of Intense Pluvial Runoff", is confronted with past extreme events for which rainfall radar measurements were acquired and damage maps were derived from multispectral bi-temporal satellite imagery (Sentinel-1 and 2) and machine learning (ML) supervised classification algorithms. Results Study areas Six watersheds in the Aude and Alpes-Maritimes departments in the South of France are investigated over more than 2.000 km 2 of rural and periurban areas during three flash-flood events (2018-2020).

Subjects

Subjects :
[SDE] Environmental Sciences

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od.......166..b08bb8b31c1d50fa79ca369378388719