Assessing the influence of uncertainty in land cover mapping and digital elevation models on flood risk mapping

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes an approach to assess the influence of the uncertainty present in the parameters dependent on the land cover and elevation data over the peak flow values and the subsequent delineation of flooded areas. The proposed approach was applied to produce vulnerability and risk maps that integrate uncertainty for the urban area of Leiria, Portugal. A SPOT-4 satellite image and DEMs of the region were used. The peak flow was computed using the Soil Conservation Service method and HECHMS, HEC-RAS, Matlab and ArcGIS software programs were used. The analysis of the results obtained for the presented case study enables the identification of the order of magnitude of uncertainty associated to the watershed peak flow value and the identification of the areas which are more susceptible to flood risk to be identified.

Original languageEnglish
Title of host publicationAccuracy 2014 - Proceedings of the 11th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences
PublisherInternational Spatial Accuracy Research Association (ISARA)
Publication statusPublished - 1 Jan 2014
Event11th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2014 - East Lansing, United States
Duration: 8 Jul 201411 Jul 2014

Conference

Conference11th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2014
CountryUnited States
CityEast Lansing
Period8/07/1411/07/14

Keywords

  • Digital Elevation Model
  • Flood Risk Map
  • Multispectral Images
  • Uncertainty
  • Watershed Peak flow

Fingerprint

Dive into the research topics of 'Assessing the influence of uncertainty in land cover mapping and digital elevation models on flood risk mapping'. Together they form a unique fingerprint.

Cite this