Reference : A Remote Sensing Based Calibration Framework for the MOLAND Urban Growth Model of Dublin
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/142960
A Remote Sensing Based Calibration Framework for the MOLAND Urban Growth Model of Dublin
English
Van de Voorde, Tim []
van der Kwast, Johannes []
Canters, Frank []
Engelen, Guy []
Binard, Marc mailto [Université de Liège - ULiège > Département de géographie > Plateforme "GITAN" >]
Cornet, Yves mailto [Université de Liège - ULiège > Département de géographie > Unité de Géomatique - Télédétection et photogrammétrie >]
Uljee, Inge []
2012
International Journal of Agricultural and Environmental Information Systems
3
2
1-21
Yes (verified by ORBi)
International
1947-3192
1947-3206
[en] Binary Urban Masks ; Land-Use Change Models ; Land-Use Information ; Remote Sensing ; Urban Growth
[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.
BELSPO - SPP Politique scientifique - Service Public Fédéral de Programmation Politique scientifique
MAMUD
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/142960
10.4018/jaeis.2012070101

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