Mapping banana plants from high spatial resolution orthophotos to facilitate plant health assessment

Johansen, Kasper, Sohlbach, Malte, Sullivan, Barry, Stringer, Samantha, Peasley, David and Phinn, Stuart (2014) Mapping banana plants from high spatial resolution orthophotos to facilitate plant health assessment. Remote Sensing, 6 9: 8261-8286. doi:10.3390/rs6098261


Author Johansen, Kasper
Sohlbach, Malte
Sullivan, Barry
Stringer, Samantha
Peasley, David
Phinn, Stuart
Title Mapping banana plants from high spatial resolution orthophotos to facilitate plant health assessment
Journal name Remote Sensing   Check publisher's open access policy
ISSN 2072-4292
Publication date 2014-09-02
Year available 2014
Sub-type Article (original research)
DOI 10.3390/rs6098261
Open Access Status DOI
Volume 6
Issue 9
Start page 8261
End page 8286
Total pages 26
Place of publication Basel, Switzerland
Publisher MDPI AG
Collection year 2015
Language eng
Formatted abstract
The Banana Bunchy Top Virus (Genus: Babuvirus) reduces plant growth and prevents banana production. Because of the very large number of properties with banana plants in South East Queensland, Australia, a mapping approach was developed to delineate individual and clusters of banana plants to help plant identification and enable prioritization of plant inspections for Banana Bunchy Top Virus. Due to current outbreaks in South East Queensland, there are concerns that the virus may spread to the major banana growing districts further north. The mapping approach developed was based on very high spatial resolution airborne orthophotos. Object-based image analysis was used to: (1) detect banana plants using edge and line detection approaches; (2) produce accurate and realistic outlines around classified banana plants; and (3) evaluate the mapping results. The mapping approach was developed based on 10 image tiles of 1 km × 1 km and was applied to orthophotos (3600 image tiles) from September 2011 covering the entire Sunshine Coast Region in South East Queensland. Based on field inspections of the classified maps, a user’s mapping accuracy of 88% (n = 146) was achieved. The results will facilitate the detection of banana plants and increase the inspection rate of Banana Bunchy Top Virus in the future.
Keyword Banana plants
Banana Bunchy Top Virus
Orthophotos
High spatial resolution
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2015 Collection
 
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Created: Sat, 04 Oct 2014, 01:01:47 EST by Lia Gardiner on behalf of School of Geography, Planning & Env Management