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A multiscale, object-based image analysis approach in assessing biodiversity for Nepal and New Zealand sites
Citation
Aryal, J and Rojas-Mora, J and Josselin, D, A multiscale, object-based image analysis approach in assessing biodiversity for Nepal and New Zealand sites, 32nd Asian Conference on Remote Sensing 2011, Oct 3-7, Taipei, Taiwan, pp. 320-325. ISBN 978-1-61839-497-2 (2011) [Conference Extract]
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Abstract
The relationship between remote sensing and biodiversity is well recognised due to the spatial
component inherent in the landscape. The landscape phenomena exist and interact in multiple scales. The interaction
in multiple scales occurs within the scale and across the scales. To address the issue of this interaction, we develop a
framework in multi-scale environment from remotely sensed data of diverse geographical territories (Nepal and New
Zealand) by extracting the meaningful image objects, analysing such image objects and relating these image objects
to landscape objects. In relating the image objects to landscape objects, we apply thematic, topological and geometric
indices such as the Normalised Difference Vegetation Index (NDVI), the Grey Level Co-occurrence Matrix (GLCM),
shape index, area, density and asymmetry for image objects. These indices and the developed framework are tested
for pertinent scale (the most appropriate scale for analysis) issues using statistical measure of association – Relative
Interquartile Range (RIQR). The test result shows that the pertinent scale can be achieved and it is dependent on
interpreter’s objective, heterogeneity / homogeneity of the landscape. This methodology shows that pertinent scale
issue is promising in the study of biodiversity and associated landscape phenomena.
Item Details
Item Type: | Conference Extract |
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Research Division: | Environmental Sciences |
Research Group: | Environmental management |
Research Field: | Environmental management |
Objective Division: | Environmental Management |
Objective Group: | Terrestrial systems and management |
Objective Field: | Terrestrial biodiversity |
UTAS Author: | Aryal, J (Dr Jagannath Aryal) |
ID Code: | 80477 |
Year Published: | 2011 |
Deposited By: | Geography and Environmental Studies |
Deposited On: | 2012-11-01 |
Last Modified: | 2012-11-02 |
Downloads: | 0 |
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