Use of Remote Sensing Techniques in Lantana Mapping

Title
Use of Remote Sensing Techniques in Lantana Mapping
Publication Date
2009
Author(s)
Taylor, Subhashni
( author )
OrcID: https://orcid.org/0000-0002-1624-0901
Email: btaylo26@une.edu.au
UNE Id une-id:btaylo26
Kumar, Lalit
( author )
OrcID: https://orcid.org/0000-0002-9205-756X
Email: lkumar@une.edu.au
UNE Id une-id:lkumar
Reid, Nicholas
( author )
OrcID: https://orcid.org/0000-0002-4377-9734
Email: nrei3@une.edu.au
UNE Id une-id:nrei3
Editor
Editor(s): Ade Komara Mulyana, Gatot Haryo Pramono, Antonius B Wijanarto, Adi Junjunan Mustafa, Sri Lestari Munajati, Dian Ardiansyah and Murdaningsih
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
National Coordinating Agency for Surveys and Mapping
Place of publication
Bali, Indonesia
UNE publication id
une:5584
Abstract
This study looked at the impact of image fusion as well as the cost effectiveness of using satellite imagery of varying spatial and spectral resolutions on the classification accuracy of lantana. The first part of the research compared the impact of four image fusion techniques using Quickbird imagery, namely Brovey, Hue-Saturation-Value, Principal Components and Gram−Schmidt Spectral Sharpening, on classification accuracies for lantana mapping. Gram−Schmidt and Principal Components spectral sharpening techniques showed an improvement in overall accuracy and the kappa coefficient compared to the MS image while Brovey transformation and HSV performed poorly in the supervised classification. The second part of the study compared the cost and classification accuracy of Quickbird, Landsat ETM+ and SPOT 5 imagery in mapping lantana. Quickbird multi-spectral image provided the highest overall accuracy followed by SPOT 5 image. Landsat ETM+ showed the lowest overall accuracy. SPOT 5 multispectral imagery provided a less costly option compared to Quickbird with no significant difference in overall accuracies between the two. The findings indicate that spatial resolution was of greater importance than spectral resolution in classifying lantana accurately and SPOT 5 provided the most cost-effective option.
Link
Citation
Proceedings of the 10th South East Asian Survey Congress: Integrating Geo-Information Islands, p. 139-146
ISBN
9789792669534
Start page
139
End page
146

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