20 August 2014
  Welcome Guest
  Login | Help
General Information
Transaction Series
Related Information
Connect with WIT Press
Connect with WIT
Login ID:
Your Cart
There are 0 items in your cart. [View]

Adobe PDF Reader is required to view our papers:
Get Acrobat Reader

  Welcome to the WIT eLibrary

The home of the Transactions of the Wessex Institute collection, providing on-line access to papers presented at the Institute's prestigious international conferences and from its State-of-the-Art in Science & Engineering publications.

Paper Information

Mapping land use in a large agricultural basin: a comparison between classification techniques

Author(s): D. Ierodiaconou, M. Leblanc, L. Laurenson, F. Stagnitti & V. Versace

In order to facilitate the better management of river basin resources, the Glenelg-Hopkins region in south-east Australia required an accurate and up to date land use map.

Land use has a major impact on Australia’s natural resources including its soil, water, flora and fauna and plays a major role in determining basin health.

Inappropriate land use and practices have contributed to extensive dryland salinity and water quality problems.

Land use data is often required for environmental models and in most cases the reliability of model outputs is dependent on the spatial detail and accuracy of the land use mapping.

This paper examines methods to obtain an up to date land use map and a detailed accuracy assessment using Landsat ETM+ data for a regional basin.

A multi-source based approach allowed the collection of 4817 ground truth data points from the field investigation.

This enabled researchers to (i) incorporate a full range of information into digital image analysis with significant improvements in accuracy and (ii) hold sufficient independent references for an accurate error assessment.

Classification accuracy was significantly improved using a stratification design, in which the region is sub-divided into smaller homogenous areas as opposed to a full scene classification technique.

The overall classification accuracy was 84% (KHAT= 0.833) for the stratified approach compared to 76% (KHAT= 0.743) for the full scene classification.

Effective assessment, planning and management of basins are dependent on a sound knowledge of the distribution and variability of land use.

image classification, stratification, land use, remote sensing. ...

Pages: 10
Size: 552 kb
Paper DOI: 10.2495/RM050511



Download the Full Article

Price: US$ 0.00

This article is part of the WIT OpenView scheme and you can download the full text Adobe PDF article for FREE by clicking the 'Openview' icon below.


Send this page to a friend. Send this page to a colleague.

This paper can be found in the following book

River Basin Management III

River Basin Management III

Buy Book from

Download the Full Article

This article is part of the WIT OpenView scheme and you can download the full text Adobe PDF article for FREE by clicking the 'Openview' icon to the right.

Copyright© 2006 by WIT Press | About Prof Carlos Brebbia
Optimised for Microsoft Internet Explorer