Browse by Fields of Research (ANZSRC 2008)

Up a level
Export as [feed] RSS
Group by: Authors | Item Type
Jump to: W
Number of items at this level: 7.

W

Whiteside, Tim (2011) Multiscale vegetation characterisation of tropical savanna using object-based image analysis. PhD thesis, Charles Darwin University.

Whiteside, Tim and Taplin, Pascale (2010) Semi-automated identification and extraction of Callitris intratropica from Eucalypt dominant savanna. In: GEOBIA 2010: Geographic object-based image analysis, 29 June - 2 July, Gent, Belgium.

Whiteside, Tim and Boggs, Guy (2009) A comparison of canopy cover derived from object-based crown extraction to pixel-based cover estimates. In: Proceedings of the Surveying & Spatial Sciences Institute Biennial International Conference. Surveying an Spatial Science Institute, Adelaide, pp. 589-602. ISBN 978-0-9581366-8-6

Whiteside, Tim and Ahmad, Waqar (2008) Estimating canopy cover from Eucalypt dominant tropical savanna using the extraction of tree crowns from very high resolution imagery. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (GEOBIA, 2008 – Pixels, Objects, Intelligence: Geographic Object Based Image Analysis for the 21st Century). ISPRS. ISBN (ISSN) 1682-1777

Whiteside, Tim and Ahmad, Waqar (2008) Validation of object-based classification of remotely sensed imagery. In: 14th Australasian Remote Sensing and Photogrammetry Conference September 29 - October 3, 2008, Darwin, Australia. Spacial Science Institute.

Whiteside, Tim and Ahmad, Waqar (2006) Object-based image analysis of QuickBird imagery for the classification of savanna vegetation in the monsoonal tropics of northern Australia. In: UNSPECIFIED UNSPECIFIED.

Whiteside, Tim and Ahmad, Waqar (2005) A comparison of object-oriented and pixel-based classification methods for mapping land cover in northern Australia. In: Proceedings of SSC2005 Spatial intelligence, innovation and praxis: The National Biennial Conference of the Spatial Science Institute. Spacial Sciences Institute, Melbourne, Victoria. ISBN 0-9581366-2-9

This list was generated on Mon Nov 20 20:30:14 2017 UTC.