Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29498
Title: Airborne LiDAR and high resolution multispectral data integration in Eucalyptus tree species mapping in an Australian farmscape
Contributor(s): Verma, Niva Kiran  (author); Lamb, David W  (author)orcid ; Sinha, Priyakant  (author)orcid 
Publication Date: 2022
Early Online Version: 2019-12-12
DOI: 10.1080/10106049.2019.1700555
Handle Link: https://hdl.handle.net/1959.11/29498
Abstract: Rapid decline and death of rural Eucalypts trees of all ages and species have been reported in the farmscapes of regional Australia due to various environmental and farming management related factors. The identification of existing farm tree species is important for long term management strategies to provide ecosystem stability in the region. This study explored the feasibility of structural attributes of LiDAR and spectral and spatial characteristics of high resolution remote sensing data to identify and map Eucalyptus tree species. An object based image segmentation and rule-based classification algorithm were developed to delineate tree boundaries and species classification. The integration of two datasets improved the classification accuracy (65%) against their separate classification (52% and 41%, respectively). The identification of tree species will help in getting first-hand information on existing farm trees, which may be used in assessing tree condition in time series related to management practices and complex dieback problem.
Publication Type: Journal Article
Source of Publication: Geocarto International, 37(1), p. 70-90
Publisher: Taylor & Francis
Place of Publication: United Kingdom
ISSN: 1752-0762
1010-6049
Fields of Research (FoR) 2008: 050209 Natural Resource Management
Fields of Research (FoR) 2020: 410402 Environmental assessment and monitoring
410406 Natural resource management
Socio-Economic Objective (SEO) 2008: 820104 Native Forests
Socio-Economic Objective (SEO) 2020: 180601 Assessment and management of terrestrial ecosystems
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Humanities, Arts and Social Sciences
School of Science and Technology

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