An alternative method for estimating total impervious area in catchments using high-resolution colour aerial photography

Hartcher, Michael G. and Chowdhury, Rezaul K. (2017) An alternative method for estimating total impervious area in catchments using high-resolution colour aerial photography. Water Practice and Technology, 12 (2). pp. 478-486.

Abstract

Estimation of total impervious area (TIA) is a pre-requisite for ecohydrological research to allow for a direct prediction on stream ecosystem health within catchments. This paper presents an alternative to using multi-spectral imagery for estimating TIA at a catchment scale, by using high-resolution colour aerial photography. The method was applied to a number of catchments in South East Queensland, Australia, some of which were gauged and some of which were part of an Ecosystem Health Monitoring Program (EHMP). The results from this method were compared to TIA estimates, for some of the same catchments, that were derived through three other techniques, i.e. manual digitization of geo-referenced aerial photos, Brisbane City Council data derived from image analysis using Landsat TM imagery and rainfall runoff depth relationship. The high-resolution colour aerial photography method compared favourably to the other techniques with standard deviations of TIA (%) ranging between 0.8% and 8%. The major constraints were shading effects, particularly on roads and grassed areas, and from the similarity in colours between some surface types, some of which can be reduced by appropriate selection of signature colours and multiple iterations of a supervised classification. It was concluded that while infra-red spectral wavebands could help considerably, the high-resolution colour photography could be applied with confidence to derive catchment-scale TIA estimates.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Restricted access to published version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Date Deposited: 30 May 2018 04:19
Last Modified: 30 May 2018 04:19
Uncontrolled Keywords: ecohydrology, image classification, impervious surfaces, urban runoff
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090509 Water Resources Engineering
Socio-Economic Objective: D Environment > 96 Environment > 9609 Land and Water Management > 960912 Urban and Industrial Water Management
Identification Number or DOI: 10.2166/wpt.2017.053
URI: http://eprints.usq.edu.au/id/eprint/34170

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