Remote sensing techniques as a tool for development of small scale urban runoff model

Wai Yeung Yan, Ahmed Shaker, Darko Joksimovic, A. Dialame

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The research work aims to investigate different remote sensing image processing techniques to extract relevant information for the development of urban runoff models. The techniques employ the use of stereo IKONOS satellite images to extract 3-D topographic features and conduct supervised image classification on the ortho-rectified images generated from the IKONOS satellite. Impervious surfaces and vegetation cover are extracted using the remote sensing techniques. The results reveal that data extracted from remote sensing techniques can be used effectively in modelling runoff for a small urban catchment for estimation of flood extent. However, the water balance modelling over typical climatic conditions requires further refinement in identification of impervious cover.

Original languageEnglish
Title of host publicationRemote Sensing and Hydrology
Pages431-434
Number of pages4
Publication statusPublished - 1 Dec 2012
Externally publishedYes
EventRemote Sensing and Hydrology Symposium - Jackson Hole, WY, United States
Duration: 27 Sep 201030 Sep 2010

Publication series

NameIAHS-AISH Publication
Volume352
ISSN (Print)0144-7815

Conference

ConferenceRemote Sensing and Hydrology Symposium
CountryUnited States
CityJackson Hole, WY
Period27/09/1030/09/10

Keywords

  • Feature extraction
  • Image classification
  • Rainfall-runoff modelling
  • Sensor orientation
  • Stereo IKONOS images

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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