Skip navigation
Skip navigation

Land Use Mapping Using Constrained Monte Carlo Methods

Knapp, Simon Orlando


We present a flexible, automated, Bayesian method designed for broad scale land use mapping. The method is based on a Monte Carlo Markov Chain and integrates a number of sources of ancillary data. It produces a probability density over a finite set of land use classes that can be used directly in further analyses or to classify individual pixels. The method assumes a multi- nomial prior over the possible land use types, and uses agricultural...[Show more]

CollectionsOpen Access Theses
Date published: 2016
Type: Thesis (PhD)
DOI: 10.25911/5d70f10001561


File Description SizeFormat Image
Knapp Thesis 2017.pdf10.71 MBAdobe PDFThumbnail

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator