Deriving land use and land cover maps from 2.5m SPOT 5 imagery

Long, Geoffrey Michael (2008) Deriving land use and land cover maps from 2.5m SPOT 5 imagery. [USQ Project]

[img]
Preview
PDF
Long_2008.pdf

Download (5MB)

Abstract

[Abstract]: The major component in creating land use and land cover maps is satellite imagery. Currently resolutions of up to 25m imagery are used to create these maps. With the availability of higher resolution satellite imagery this dissertation investigates the classification of land use and land cover from a remotely sensed SPOT-5, 2.5m resolution colour image.

The satellite imagery used in this study was supplied by the Condamine Alliance, a regional natural resources management body. The image is covers a 60km by 60km area of the western Darling Downs region of Queensland. This area is predominately used for agricultural and grazing.

Classification of the SPOT-5 image will be accomplished using pixel-based classification methods. These will include both supervised and unsupervised classification techniques. Classification was accomplished using Idrsi Andes Image processing software.

This dissertation details a procedure to create land cover or land use maps from SPOT-5 high resolution satellite imagery.


Statistics for USQ ePrint 5782
Statistics for this ePrint Item
Item Type: USQ Project
Refereed: No
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Date Deposited: 01 Oct 2009 02:47
Last Modified: 02 Jul 2013 23:25
Uncontrolled Keywords: satellite imagery; Condamine Alliance; Darling Downs; Queensland; Spot 5
Fields of Research (2008): 09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
Fields of Research (2020): 40 ENGINEERING > 4013 Geomatic engineering > 401302 Geospatial information systems and geospatial data modelling
URI: https://sear.unisq.edu.au/id/eprint/5782

Actions (login required)

View Item Archive Repository Staff Only