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Title: Use of Remote Sensing Techniques in Lantana Mapping
Contributor(s): Taylor, Subhashni (author)orcid ; Kumar, Lalit (author)orcid ; Reid, Nicholas (author)orcid 
Publication Date: 2009
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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.
Publication Type: Conference Publication
Conference Name: SEASC 2009: 10th South East Asian Survey Congress, Nusadua, Bali, Indonesia, 4th - 7th August, 2009
Conference Details: SEASC 2009: 10th South East Asian Survey Congress, Nusadua, Bali, Indonesia, 4th - 7th August, 2009
Source of Publication: Proceedings of the 10th South East Asian Survey Congress: Integrating Geo-Information Islands, p. 139-146
Publisher: National Coordinating Agency for Surveys and Mapping (BAKOSURTANAL) in collaboration with ASEAN Federation of Land Surveys and Geomatics (ASEAN FLAG)
Place of Publication: Bali, Indonesia
Field of Research (FOR): 050209 Natural Resource Management
050103 Invasive Species Ecology
050205 Environmental Management
HERDC Category Description: E2 Non-Refereed Scholarly Conference Publication
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