Potentiel de l'imagerie optique satellitaire à haute résolution pour détecter les dommages engendrés par des épisodes pluvieux extrêmes-Reference-Cited by-同舟云学术

Potentiel de l'imagerie optique satellitaire à haute résolution pour détecter les dommages engendrés par des épisodes pluvieux extrêmes

Published:2020-12-01 Issue:6 Volume:106 Page:66-74
ISSN:0018-6368
Container-title:La Houille Blanche
language:en
Short-container-title:La Houille Blanche

Author:

Cerbelaud Arnaud¹²³⁴,Favro Axelle⁴,Roupioz Laure²,Blanchet Gwendoline³,Briottet Xavier²,Delvit Jean-Marc³,Breil Pascal⁴

Affiliation:

1. Université Fédérale de Toulouse Midi-Pyrénées, 41 Allée Jules Guesde, 31000 Toulouse, France

2. ONERA, Optique et techniques associées (DOTA), 2 Avenue Edouard Belin, 31000 Toulouse, France

3. Centre National d'Etudes Spatiales (CNES), Labo OT, 18 Avenue Edouard Belin, 31400 Toulouse, France

4. Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE), UR RIVERLY, 5 Rue de la Doua, 69100 Villeurbanne, France

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1051/lhb/2020059

Reference17 articles.

1. Identifying erosion areas at basin scale using remote sensing data and GIS: a case study in a geologically complex mountain basin in the Spanish Pyrenees

2. A method to use proxy data of runoff-related impacts for the evaluation of a model mapping intense storm runoff hazard: application to the railway context

3. Automatic landslide detection from remote sensing images using supervised classification methods

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1. Mapping Pluvial Flood-Induced Damages with Multi-Sensor Optical Remote Sensing: A Transferable Approach;Remote Sensing;2023-04-29

2. Prediction of Actual from Climatic Precipitation with Data Collected from Northern Poland: A Statistical Approach;Sensors;2023-01-19

3. Proxy Data of Surface Water Floods in Rural Areas: Application to the Evaluation of the IRIP Intense Runoff Mapping Method Based on Satellite Remote Sensing and Rainfall Radar;Water;2022-01-27

4. A repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: Evidence from three case studies in the South of France;ISPRS Journal of Photogrammetry and Remote Sensing;2021-12