Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/nhess-2017-420
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
22 Dec 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).
Low cost, multiscale and multi-sensor application for flooded areas mapping
Daniele Giordan1, Davide Notti1, Alfredo Villa2, Francesco Zucca3, Fabiana Calò4, Antonio Pepe4, Furio Dutto5, Paolo Pari6, Marco Baldo1, and Paolo Allasia1 1National Research Council of Italy, Research Institute for Geo-Hydrological Protection (CNR-IRPI), Strada delle Cacce 73, Torino 10135, Italy
2ALTEC S.p.A., Torino, 10146, Italy
3Department of Earth and Environmental Science, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy
4National Research Council of Italy, Institute for the Electromagnetic Sensing of the Environment (CNR-IREA), Via Diocleziano 328, Napoli 80124, Italy
5Civil protection Service of Torino, Grugliasco, 10095, Italy
6Digisky S.r.l., Torino, 10146, Italy
Abstract. Flood mapping and estimation of maximum water depth are essential elements for a first damages evaluation, civil protection interventions planning and detection of areas where remedial are more needed.

In this work, we present and discuss a methodology for mapping and quantifying flood severity over plain areas. The proposed methodology considers a multiscale and multi-sensor approach using free or low-cost data/sensors. We applied this method to November 2016 Piemonte (NW Italy) flood. We first mapped flooded areas at basin scale using free satellite data from low to medium-high resolution using both SAR (Sentinel-1, Cosmo-Skymed) and multispectral sensors (MODIS, Sentinel-2). Using very- and ultra- high-resolution images from the low-cost aerial platform and Remotely Piloted Aerial System, we refined the flooded zone, and we detected the most damaged sector. The presented method considers both urbanized and not urbanized areas. Nadiral images have several limitations in particular in urbanized areas, where the use of terrestrial images solved this limitation. Very- and ultra-high resolution images have been processed with Structure from Motion (SfM) for the realization of 3-D models. These data, combined with available digital elevation model, allowed us to obtain maps of flooded area, maximum water high and damaged infrastructures.

Citation: Giordan, D., Notti, D., Villa, A., Zucca, F., Calò, F., Pepe, A., Dutto, F., Pari, P., Baldo, M., and Allasia, P.: Low cost, multiscale and multi-sensor application for flooded areas mapping, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-420, in review, 2017.
Daniele Giordan et al.
Daniele Giordan et al.
Daniele Giordan et al.

Viewed

Total article views: 491 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
370 110 11 491 0 13

Views and downloads (calculated since 22 Dec 2017)

Cumulative views and downloads (calculated since 22 Dec 2017)

Viewed (geographical distribution)

Total article views: 486 (including HTML, PDF, and XML)

Thereof 484 with geography defined and 2 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 20 Apr 2018
Publications Copernicus
Download
Short summary
We present a multiscale and multi-sensor methodology for flood mapping using free or low-cost data. We first mapped flooded areas at basin scale using free satellite data using both SAR and multispectral sensors. At local scale we refine mapping using very high-resolution images from Remotely Piloted Aerial System and terrestrial car camera, then we used these data to create 3-d model with Structure from Motion (SfM). All these data allowed creating accurate flooded area and water depth maps.
We present a multiscale and multi-sensor methodology for flood mapping using free or low-cost...
Share