Mapping Urban Tree Species Using Very High Resolution Satellite Imagery: Comparing Pixel-Based and Object-Based Approaches

Agarwal, Shivani and Vailshery, Lionel Sujay and Jaganmohan, Madhumitha and Nagendra, Harini (2013) Mapping Urban Tree Species Using Very High Resolution Satellite Imagery: Comparing Pixel-Based and Object-Based Approaches. International Journal of Geo-Information , 2 (1). pp. 220-236. ISSN 2220-9964

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Abstract

We assessed the potential of multi-spectral Geo Eye imagery for biodiversity assessment in an urban context in Bangalore, India. Twenty one grids of 150 by 150 m were randomly located in the city center and all tree species within these grids mapped in the field. The six most common species, collectively representing 43% of the total trees sampled, were selected for mapping using pixel-based and object-based approaches. All pairs of species were separable based on spectral reflectance values in at least one band, with Peltophorum pterocarpum being most distinct from other species. Object-based approaches were consistently superior to pixel-based methods, which were particularly low in accuracy for tree species with small canopy sizes, such as Cocos nucifera and Roystonea regia. There was a strong and significant correlation between the number of trees determined on the ground and from object-based classification. Overall, object-based approaches appear capable of discriminating the six most common species in a challenging urban environment, with substantial heterogeneity of tree canopy sizes.

Item Type: Article
Additional Information: Copyright of this article belongs to Molecular Diversity Preservation International and Multidisciplinary Digital Publishing Institute (MDPI)
Uncontrolled Keywords: urban ecology; tree diversity; ecological monitoring; hyperspatial imagery; India
Subjects: C Publications by ATREEians > G Journal Papers
Divisions: Publications by ATREEians > Journal Papers
Depositing User: Users 103 not found.
Date Deposited: 05 Dec 2016 06:39
Last Modified: 04 Oct 2017 09:26
URI: http://eprints.atree.org/id/eprint/332

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