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Remote Sens. 2016, 8(3), 176; doi:10.3390/rs8030176

Methods to Quantify Regional Differences in Land Cover Change

1
School of Geography, University of Leeds, Leeds LS2 9JT, UK
2
Centre for Landscape and Climate Research, Department of Geography, University of Leicester, Leicester LE1 7RH, UK
3
Geography and Environment, University of Southampton, Southampton SO17 1BJ, UK
These authors contributed equally to this work.
This author has been deceased.
*
Author to whom correspondence should be addressed.
Academic Editors: Martin Herold, Linda See, Parth Sarathi Roy and Prasad S. Thenkabail
Received: 17 November 2015 / Revised: 8 February 2016 / Accepted: 14 February 2016 / Published: 25 February 2016
(This article belongs to the Special Issue Validation and Inter-Comparison of Land Cover and Land Use Data)
View Full-Text   |   Download PDF [2895 KB, uploaded 25 February 2016]   |  

Abstract

This paper describes and illustrates methods for quantifying regional differences in land use/land cover changes. A series of approaches are used to analyse differences in land cover change from data held in change matrices. These are contingency tables and are commonly used in remote sensing to describe the spatial coincidence of land cover recorded over two time periods. Comparative analyses of regional change are developed using odds ratios to analyse data in two regions. These approaches are extended using generalised linear models to analyse data for three or more regions. A generalised Poisson regression model is used to generate a comparative index of change based on differences in change likelihoods. Mosaic plots are used to provide a visual representation of statistically surprising land use losses and gains. The methods are explored using a hypothetical but tractable dataset and then applied to a national case study of coastal land use changes over 50 years conducted for the National Trust. The suitability of the different approaches to different types of problem and the potential for their application to land cover accuracy measures are briefly discussed. View Full-Text
Keywords: land cover change; land use change; remote sensing accuracy; statistical analysis; visualization land cover change; land use change; remote sensing accuracy; statistical analysis; visualization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Comber, A.; Balzter, H.; Cole, B.; Fisher, P.; Johnson, S.C.; Ogutu, B. Methods to Quantify Regional Differences in Land Cover Change. Remote Sens. 2016, 8, 176.

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