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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/6000

Title: Optimal sampling schemes for vegetation and geological field visits
Authors: Debba, P
Keywords: Sampling
Classification
Iterated conditional modes algorithm
Simulated annealing
Remote sensing
Alunite
Issue Date: Jul-2012
Citation: Debba, P. Optimal sampling schemes for vegetation and geological field visits. University of the Witwatersrand, Statistics Department, July 2012
Series/Report no.: Workflow;9256
Abstract: The presentation made to Wits Statistics Department was on common classification methods used in the field of remote sensing, and the use of remote sensing to design optimal sampling schemes for field visits with applications in vegetation and geology. For vegetation the sample was designed to give more accurate measures of vegetation indices and for geology the sampling was designed to target alunite.
Description: University of the Witwatersrand, Statistics Department, July 2012
URI: http://hdl.handle.net/10204/6000
Appears in Collections:Mining and geoscience
Earth observation
Logistics and quantitative methods
Ecosystems processes & dynamics
Advanced mathematical modelling and simulation
Planning support systems
General science, engineering & technology

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