Methods to quantify regional differences in land cover change
Methods to quantify regional differences in land cover change
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.
land cover change, land use change, remote sensing accuracy, statistical analysis, visualization
1-19
Comber, Alexis
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Balzter, Heiko
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Cole, Beth
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Fisher, Pete
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Johnson, Sarah
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Ogutu, Booker
4e36f1d2-f417-4274-8f9c-4470d4808746
25 February 2016
Comber, Alexis
28d1ea89-b1f2-4d02-887d-7866f90c56fe
Balzter, Heiko
4e63e7fb-b460-4dcb-96a0-c4f92ad0f5c1
Cole, Beth
2a25bec4-d691-4b6d-966a-b401b555a8a1
Fisher, Pete
488a5f55-ab29-4c79-8cc4-b2a76bc35a9b
Johnson, Sarah
ffa43e6e-097b-4f70-8504-a1e3977be917
Ogutu, Booker
4e36f1d2-f417-4274-8f9c-4470d4808746
Comber, Alexis, Balzter, Heiko, Cole, Beth, Fisher, Pete, Johnson, Sarah and Ogutu, Booker
(2016)
Methods to quantify regional differences in land cover change.
Remote Sensing, 8 (3), , [176].
(doi:10.3390/rs8030176).
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.
Text
remotesensing-08-00176 (1).pdf
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More information
Submitted date: 17 November 2015
Accepted/In Press date: 14 February 2016
e-pub ahead of print date: 25 February 2016
Published date: 25 February 2016
Keywords:
land cover change, land use change, remote sensing accuracy, statistical analysis, visualization
Organisations:
Global Env Change & Earth Observation
Identifiers
Local EPrints ID: 388464
URI: http://eprints.soton.ac.uk/id/eprint/388464
ISSN: 2072-4292
PURE UUID: 8461c378-4679-45f3-891a-7c68b84d7f78
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Date deposited: 25 Feb 2016 16:37
Last modified: 15 Mar 2024 03:33
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Contributors
Author:
Alexis Comber
Author:
Heiko Balzter
Author:
Beth Cole
Author:
Pete Fisher
Author:
Sarah Johnson
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