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Detecting beetle infestations in pine forest using MODIS NDVI time-series data


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


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
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
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