An object-based image analysis approach for mapping and monitoring flooding and topographic change near Duluth, Minnesota, USA

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A short-term precipitation event near Duluth, Minnesota, USA caused flooding, erosion, and deposition that impacted the natural and anthropogenic landscape. This study quantified these impacts with an object-based image analysis approach that integrated multi-temporal lidar and optical data. Flooding inundated 3% of the study area and impacted 28% of the buildings. Topographic change volumes from erosion and deposition ranged from 36.3 m3to -32.2 m3. Erosion occurred over 21% of the area while deposition occurred over 11% of the area. These results provide decision managers with a spatially-explicit framework for assessing and monitoring inundation and topographic change in response short-term precipitation events.

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1971-1974
Number of pages4
ISBN (Electronic)9781479957750
DOIs
StatePublished - Nov 4 2014
EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada
Duration: Jul 13 2014Jul 18 2014

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

OtherJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/TerritoryCanada
CityQuebec City
Period7/13/147/18/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • OBIA
  • change detection
  • flooding
  • geomorphology
  • lidar

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