[en] Land-use change models are useful tools for assessing and comparing the environmental impact of alternative
policy scenarios. Their increasing popularity as spatial planning instruments also poses new scientific
challenges, such as correctly calibrating the model. The challenge in model calibration is twofold: obtaining
a reliable and consistent time series of land-use information and finding suitable measures to compare model
output to reality. Both of these issues are addressed in this paper. The authors propose a model calibration
framework that is supported by information on urban form and function derived from medium-resolution remote
sensing data through newly developed spatial metrics. The remote sensing derived maps are compared to
model output of the same date for two model scenarios using well-known spatial metrics. Results demonstrate
a good resemblance between the simulation output and the remote sensing derived maps.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Van de Voorde, Tim
van der Kwast, Johannes
Canters, Frank
Engelen, Guy
Binard, Marc ; Université de Liège - ULiège > Département de géographie > Plateforme "GITAN"
Cornet, Yves ; Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Télédétection et photogrammétrie
Uljee, Inge
Language :
English
Title :
A Remote Sensing Based Calibration Framework for the MOLAND Urban Growth Model of Dublin
Publication date :
2012
Journal title :
International Journal of Agricultural and Environmental Information Systems
ISSN :
1947-3192
eISSN :
1947-3206
Publisher :
IGI Global Publishing, United States - Pennsylvania
Volume :
3
Issue :
2
Pages :
1-21
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
MAMUD
Funders :
BELSPO - SPP Politique scientifique - Service Public Fédéral de Programmation Politique scientifique
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