Urban flood hazard mapping using change detection on wetness transformed images. Issue 5 (3rd April 2016)
- Record Type:
- Journal Article
- Title:
- Urban flood hazard mapping using change detection on wetness transformed images. Issue 5 (3rd April 2016)
- Main Title:
- Urban flood hazard mapping using change detection on wetness transformed images
- Authors:
- Aggarwal, Arpit
Rafique, Farhat
Rajesh, Edida
Ahmed, Sirajuddin - Abstract:
- ABSTRACT: The present study demonstrates the use of a new approach for delineating the accurate flood hazard footprint in the urban regions. The methodology involves transformation of Landsat Thematic Mapper (TM) imagery to a three-dimensional feature space, i.e. brightness, wetness and greenness, then a change detection technique is used to identify the areas affected by the flood. Efficient thresholding of the normalized difference image generated during change detection has shown promising results in identifying the flood extents which include standing water due to flood, sediment-laden water and wetness caused by the flood. Prior to wetness transformations, dark object subtraction has been used in lower wavelengths to avoid errors due to scattering in urban areas. The study shows promising results in eliminating most of the problems associated with urban flooding, such as misclassification due to presence of asphalt, scattering in lower wavelengths and delineating mud surges. The present methodology was tested on the 2010 Memphis flood event and validated on Queensland floods in 2011. The comparative analysis was carried out with the widely-used technique of delineating flood extents using thresholding of near infrared imagery. The comparison demonstrated that the present approach is more robust towards the error of omission in flood mapping. Moreover, the present approach involves less manual effort and is simpler to use.Editor Z.W. Kundzewicz;Associate editor A.ABSTRACT: The present study demonstrates the use of a new approach for delineating the accurate flood hazard footprint in the urban regions. The methodology involves transformation of Landsat Thematic Mapper (TM) imagery to a three-dimensional feature space, i.e. brightness, wetness and greenness, then a change detection technique is used to identify the areas affected by the flood. Efficient thresholding of the normalized difference image generated during change detection has shown promising results in identifying the flood extents which include standing water due to flood, sediment-laden water and wetness caused by the flood. Prior to wetness transformations, dark object subtraction has been used in lower wavelengths to avoid errors due to scattering in urban areas. The study shows promising results in eliminating most of the problems associated with urban flooding, such as misclassification due to presence of asphalt, scattering in lower wavelengths and delineating mud surges. The present methodology was tested on the 2010 Memphis flood event and validated on Queensland floods in 2011. The comparative analysis was carried out with the widely-used technique of delineating flood extents using thresholding of near infrared imagery. The comparison demonstrated that the present approach is more robust towards the error of omission in flood mapping. Moreover, the present approach involves less manual effort and is simpler to use.Editor Z.W. Kundzewicz;Associate editor A. Viglione … (more)
- Is Part Of:
- Hydrological sciences journal. Volume 61:Issue 5(2016)
- Journal:
- Hydrological sciences journal
- Issue:
- Volume 61:Issue 5(2016)
- Issue Display:
- Volume 61, Issue 5 (2016)
- Year:
- 2016
- Volume:
- 61
- Issue:
- 5
- Issue Sort Value:
- 2016-0061-0005-0000
- Page Start:
- 816
- Page End:
- 825
- Publication Date:
- 2016-04-03
- Subjects:
- flood hazard foot print -- change detection -- wetness transformation -- urban flooding -- dark object subtraction -- scattering -- normalized difference image
Hydrology -- Periodicals
551.4805 - Journal URLs:
- http://www.tandfonline.com/toc/thsj20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02626667.2014.952638 ↗
- Languages:
- English
- ISSNs:
- 0262-6667
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1693.xml