Propagating error in land-cover-change analyses: impact of temporal dependence under increased thematic complexity
- 2 June 2010
- journal article
- research article
- Published by Taylor & Francis Ltd in International Journal of Geographical Information Science
- Vol. 24 (7), 1043-1060
- https://doi.org/10.1080/13658810903279008
Abstract
We examined the impact of temporal dependence between patterns of error in classified time-series imagery through a simulation modeling approach. This research extended the land-cover-change simulation model we previously developed to investigate: (1) the assumption of temporal independence between patterns of error in classified time-series imagery; and (2) the interaction of patterns of change and patterns of error in a post-classification change analysis. In this research, the thematic complexity of the classified land-cover maps was increased by increasing the number of simulated land-cover classes. Simulating maps with increased categorical resolution permitted the incorporation of: (1) higher-order, more complex spatial and temporal interactions between land-cover classes; and (2) patterns of error that better reproduce the complex error interactions that often occur in time-series classified imagery. The overall modeling framework was divided into two primary components: (1) generation of a map representing true change; and (2) generation of a suite of change maps that had been perturbed by specific patterns of error. All component maps in the model were produced using simulated annealing, which enabled us to create a series of map realizations with user-defined spatial and temporal patterns. Comparing the true map of change to the error-perturbed maps of change using accuracy assessment statistics showed that increasing the temporal dependence between classification errors did not improve the accuracy of resulting maps of change when the categorical scale of the land-cover classified maps was increased. The increased structural complexity within the time series of maps effectively inhibited the impact of temporal dependence. However, results demonstrated that there are interactions between patterns of error and patterns of change in a post-classification change analysis. These interactions played a major role in determining the accuracy associated with the maps of change.Keywords
This publication has 21 references indexed in Scilit:
- Simulating error propagation in land-cover change analysis: The implications of temporal dependenceComputers, Environment and Urban Systems, 2006
- On scales and dynamics in observing the environmentInternational Journal of Remote Sensing, 2006
- ComplexityGroundwater, 2006
- Dimensions of ecosystem complexity: Heterogeneity, connectivity, and historyEcological Complexity, 2006
- On the choice of spatial and categorical scale in remote sensing land cover classificationRemote Sensing of Environment, 2005
- Characterizing Location and Classification Error Patterns in Time-Series Thematic MapsIEEE Geoscience and Remote Sensing Letters, 2004
- Error propagation modelling in raster GIS: overlay operationsInternational Journal of Geographical Information Science, 1998
- Error propagation in cartographic modelling using Boolean logic and continuous classificationInternational Journal of Geographical Information Science, 1993
- Development and test of an error model for categorical dataInternational Journal of Geographical Information Science, 1992
- Optimization by Simulated AnnealingScience, 1983