School Seminars and Colloquia

Modelling Uncertainty in Satellite Derived Land Cover Maps

Statistics Seminar

by Edward Cripps


Institution: The University of Sheffield, UK
Date: Tue 31st March 2009
Time: 1:15 PM
Location: Russell Love Theatre, Richard Berry Building, UOM

Abstract: The purpose of this talk is to quantify uncertainty associated with
land cover maps derived from satellite data. Satellite derived land
cover maps record energy incident above the earth's surface and
convert this information into land surface vegetation. The final
product is reported as recordings of distinct vegetation classes at
pixels across a spatial grid. The recordings are possibly
misclassified and the accuracy of these land cover maps is
often assessed by a confusion matrix derived from a
comparison of the map to a field survey at a sample of pixels across
the region. The data in the confusion matrix is small relative to
the entire map and does not provide spatial information regarding
map accuracy. We propose a Bayesian method to address these two
issues. The model describes multinomial recordings with
misclassification probabilities and incorporates a spatial
correlation structure that is suited to the case where little
spatial information exists. Our method allows
us to estimate the posterior distributions of the land cover
proportions for individual sites as well for the entire region. We
present the results of our method applied to a recently developed
satellite derived land cover map, the Land Cover Map 2000, for the
region of England and Wales.

Joint work with Anthony O'Hagan, Tristan Quaife and Clive Anderson

For More Information: contact: Owen Jones, email odjones@unimelb.edu.au