Edinburgh Research Archive >
Geosciences, School of >
Geography and the Lived Environment Research Institute >
MSc Geographical Information Science thesis collection >
Please use this identifier to cite or link to this item:
Files in This Item:
||Size||Format||Complete_dissertation.pdf||File only available to GIS staff and students||7.46 MB||Adobe PDF|
|Title: ||Forest species classification using Object Oriented Image Analysis – does CIR aerial imagery and Object Oriented Methods offer new possibilities?|
|Authors: ||Brown, Christine|
|Supervisor(s): ||Malthus, Tim|
|Issue Date: ||6-Dec-2008|
|Abstract: ||National Forest Inventories (NFI) in Britain such as the Forestry Commission’s National Inventory of Woodlands and Trees (NIWT) and the Native Woodland Survey of Scotland (NWSS) provide a synoptic view of the current extent, condition and location of forest resources. The NFI’s not only need to be accurate and precise but also up-to-date. Current methods of producing NFIs in Britain rely on manual photo-interpretation analysis of digital aerial photographs combined with field-based surveys. Development of a cost effective and reliable method to identify tree species as a semi- automated process would be of major benefit to forest management.
This research explores object oriented image analysis methods for Forest Inventory classification on three levels: 1.Woodland/Non woodland, 2. Interpreted Forest Types (IFT) and 3. Species using 40cm resolution Colour InfraRed Imagery and Definiens Developer Software.
A 17km2 study area within Clocaeanog Forest, Wales, was chosen with the intention of developing a robust classification ruleset. The area was flown throughout 2006, resulting in variations across the study area of sun angle, cloud cover, vegetation, intensity etc. However, a hierarchical image object classification scheme based on three levels has been generated and analysed to identify feature characteristics associated with individual species recognition and thereby aid production of NFIs|
|Sponsor(s): ||Forest Research|
|Keywords: ||Forest Inventory, Object Oriented, Forest Species, Definiens, CIR.|
|Appears in Collections:||MSc Geographical Information Science thesis collection|
Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.