Dr Tim Whiteside – BA, DipEd, MNatResMgt, PhD
Tim Whiteside is a remote sensing research scientist within theSpatial Sciences and Data Integration Program of the Environmental Research Institute of the Supervising Scientist within the Supervising Scientist Division. Tim’s background is in the remote sensing of vegetation at multiple scales using a variety of sensors. He holds a PhD in spatial sciences from Charles Darwin University investigating object-based analysis of remotely sensed imagery for the multiscale characterisation of savanna vegetation. Previously, Tim was Senior Lecturer and Head of the Department of Applied Science at Batchelor Institute of Indigenous Tertiary Education. Tim is a member of the Remote Sensing and Photogrammetry (RS&P) Commission of the Surveying and Spatial Sciences Institute. He is currently NT representative and vice-Chair on the RS&P Commission Committee.
Tim’s main research interests involve the application of geographic object-based image analysis (GEOBIA) to remotely sensed imagery for describing vegetative land cover within tropical savanna, including the extraction of tree crown information, proportional cover and community mapping and species identification. This includes the development of robust and transferable rules sets for classifying imagery and robust accuracy assessment methods for GEOBIA. He has convened and presented workshops on GEOBIA at key national conferences and has peer-reviewed articles for a number of remote sensing and software journals.
Establishing and embedding a remote sensing framework for environmental monitoring in the Alligator Rivers Region (ARR).
Vegetation structure and community mapping of ARR using VHSR optical imagery and LiDAR.
Developing a land cover time series to establish environmental baseline and flux for the Ranger mine site and surrounds prior to development.
Whiteside TG, Boggs GS & Maier SW (submitted). Site-specific area- and location-based validation of object-based classifications. ISPRS Journal of Photogrammetry and Remote Sensing.
Whiteside TG, Boggs GS & Maier SW 2011. Extraction of tree crowns from very high resolution imagery over Eucalypt dominant tropical savanna. Photogrammetric Engineering and Remote Sensing 77(8), 813–824.
Whiteside TG, Boggs GS & Maier SW 2011. Comparing object-based and pixel-based classifications for mapping savannas. International Journal of Applied Earth Observation and Geoinformation 13(6), 884–893.
Whiteside TG 2011. Multiscale vegetation characterisation of tropical savanna using object-based image analysis. Unpublished PhD thesis, Charles Darwin University.
Tidemann SC & Whiteside T 2010. Aboriginal stories: the riches and colour of Australian birds. In Ethno-ornithology: Birds and Indigenous people, culture and society, eds SC Tidemann & AG Gosler, Earthscan, London, 153–179.
Whiteside T & Taplin P 2010. Semi-automated identification and extraction of Callitris intratropica from Eucalypt dominant savanna. In Proceedings of GEOBIA 2010: Geographic Object-Based Image Analysis. Gent, Belgium, 29 June-2 July, eds EA Addink & FMB van Coillie, Published online at www.isprs.org/proceedings/XXXVIII/4-C7/
Whiteside T, Boggs G & Maier S 2010. Area-based validity assessment of single- and multi-class object-based image analysis. In Proceedings of 15th Australasian Remote Sensing and Photogrammetry Conference, Alice Springs, 13–17 September, Published online at www.15.arspc.com/proceedings
Whiteside T & Ahmad W 2008. Estimating canopy cover from Eucalypt dominant tropical savanna using the extraction of tree crowns from very high resolution imagery. In Proceedings of GEOBIA 2008 – Pixels, Objects, Intelligence: Geographic Object Based Image Analysis for the 21st Century. Calgary, Canada, 6–7 August, eds GJ Hay, T Blaschke and D Marceau, Published online at www.isprs.org/proceedings/XXXVIII/4-C1/
Tidemann SC & Whiteside T 2007. Water and its importance. International Journal of the Humanities 5(5), 141–150.
Whiteside T & Ahmad W 2005. A comparison of object-oriented and pixel-based classification methods for mapping land cover in northern Australia. In Proceedings of the Spatial Sciences 2005 Conference, Melbourne, 13–17 September, 1225–1231.
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