Object-oriented image analysis of cotton cropping areas in the Macintyre Valley using satellite imagery

Fleming, Desmond James (2015) Object-oriented image analysis of cotton cropping areas in the Macintyre Valley using satellite imagery. [USQ Project]

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Abstract

The use of extraction of polygons using software (segmentation) such as eCognition on satellite imagery to produce object based data is becoming more apparent. The technique is impressive on large areas, extracting information which can be processed for whatever purpose, with export options allowing compatibility for use in other software packages. The research is to use Landsat7 imagery with its multispectral bands, applying the object- oriented technology through ENVI 5 software and acquiring an image data set for cotton area estimates and possible infield crop analysis if time permits. The ability to create polyline data sets of specific identities from a remote sensing image has been unachievable efficiently in the past. The rate of computer, computer software technology has enhanced human computer interaction to a level that now makes data extraction of desired properties from a remote sensing image effective and is now a present reality. The intricate options of classification and rule sets within the object-oriented software selection process, is open to the users interpretation and analysis of the required data extracted. The thematic mapper (TM) bands collated from satellite imagery, allow specific features to be isolated from other features by various combinations of TM bands which can highlight the feature or features of interest to be extracted. The following dissertation investigates the desired method used through ENVI 5 software to extract the cotton area data from a cotton property, create the segmentation data sets and test the accuracy, efficiency and effectiveness of this relatively new object-oriented technology.


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Item Type: USQ Project
Item Status: Live Archive
Additional Information: Bachelor of Spatial Science (Honours) project
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Supervisors: Apan, Armando
Date Deposited: 06 Jun 2016 01:36
Last Modified: 06 Jun 2016 01:36
Uncontrolled Keywords: Remote Sensing, Segmentation, Object-Oriented
Fields of Research : 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
URI: http://eprints.usq.edu.au/id/eprint/29227

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