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Detecting beetle infestations in pine forest using MODIS NDVI time-series data
Citation
Anees, A and Olivier, JC and O'Reilly, MM and Aryal, J, Detecting beetle infestations in pine forest using MODIS NDVI time-series data, IEEE International Geoscience and Remote Sensing Symposium Proceedings (IGARSS 2013), 21-26 July 2013, Melbourne, Australia, pp. 3329-3332. ISBN 978-1-4799-1114-1 (2013) [Refereed Conference Paper]
Copyright Statement
Copyright 2013 IEEE
DOI: doi:10.1109/IGARSS.2013.6723540
Abstract
The availability of large amounts of remotely sensed data of the Earth makes it possible to monitor biomass on a global scale. Change in biomass is associated with land cover change, and may be due to many different possible phenomena, some natural and others due to human activity. In this paper, we are concerned with detecting change in the biomass of North American forests due to insect infestation, specifically beetle infestations in pine forests. These beetles have already caused significant damage to forests, and so the detection of new infestations is an important issue to address. Pine beetle infestation and activity will eventually lead to tree mortality, and consequently contribute to deforestation, which has environmental as well as economic consequences.
Item Details
Item Type: | Refereed Conference Paper |
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Research Division: | Engineering |
Research Group: | Geomatic engineering |
Research Field: | Photogrammetry and remote sensing |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the environmental sciences |
UTAS Author: | Anees, A (Mr Asim Anees) |
UTAS Author: | Olivier, JC (Professor JC Olivier) |
UTAS Author: | O'Reilly, MM (Associate Professor Malgorzata O'Reilly) |
UTAS Author: | Aryal, J (Dr Jagannath Aryal) |
ID Code: | 86616 |
Year Published: | 2013 |
Deposited By: | Geography and Environmental Studies |
Deposited On: | 2013-10-02 |
Last Modified: | 2014-08-06 |
Downloads: | 1 View Download Statistics |
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