| Title: |
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 |
| Contributors: |
RiverLy - Fonctionnement des hydrosystèmes (RiverLy); Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE); DOTA, ONERA, Université de Toulouse Toulouse; ONERA-Communauté d'universités et établissements de Toulouse (Comue de Toulouse); Centre National d'Études Spatiales Toulouse (CNES) |
| Source: |
Living Planet Symposium 2022 ESA ; https://hal.inrae.fr/hal-03793929 ; Living Planet Symposium 2022 ESA, May 2022, Bonn, Germany |
| Publisher Information: |
CCSD |
| Publication Year: |
2022 |
| Collection: |
ONERA: HAL (Centre français de recherche aérospatiale / French Aerospace Lab) |
| Subject Terms: |
[SDE]Environmental Sciences |
| Subject Geographic: |
Bonn; Germany |
| Description: |
International audience ; 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). |
| Document Type: |
conference object; still image |
| Language: |
English |
| Availability: |
https://hal.inrae.fr/hal-03793929; https://hal.inrae.fr/hal-03793929v1/document; https://hal.inrae.fr/hal-03793929v1/file/posterlpsv_STA_ACerbelaud%26Al.pdf |
| Rights: |
https://about.hal.science/hal-authorisation-v1/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.DFD65C95 |
| Database: |
BASE |