Applied Remote Sensing for Urban Planning, Governance and Sustainability
DOI: 10.1007/978-3-540-68009-3_10
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Views of Chiang Mai: The Contributions of Remote-Sensing to Urban Governance and Sustainability

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Cited by 9 publications
(5 citation statements)
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“…SLEUTH is a cellular automaton (CA) based urban growth and land-use change model [13]. The model was initially applied in the United States of America but has also been applied in other regions of the world such as in Europe [26], South America [27] and Southeast Asia [28]. SLEUTH consists of two components, an urban growth model based on the Clarke Urban Growth Model (UGM) described in [13] and a so-called Land cover Deltatron Model [29] to simulate other land-use changes induces by urban growth.…”
Section: Modelling Nairobi's Urban Growthmentioning
confidence: 99%
“…SLEUTH is a cellular automaton (CA) based urban growth and land-use change model [13]. The model was initially applied in the United States of America but has also been applied in other regions of the world such as in Europe [26], South America [27] and Southeast Asia [28]. SLEUTH consists of two components, an urban growth model based on the Clarke Urban Growth Model (UGM) described in [13] and a so-called Land cover Deltatron Model [29] to simulate other land-use changes induces by urban growth.…”
Section: Modelling Nairobi's Urban Growthmentioning
confidence: 99%
“…Learning, however, mostly takes place in the process of scenario development rather than in the engagement with its results (Dammers 2000 : 83). It is also seen as an effective tool for public engagement in issues of concern, which can vary across scales and contexts (Lebel et al 2007 ). Scenarios can envision alternative ways of urbanization and may have potential for transformative planning for complex socio-economic issues (Kahane 2012 ).…”
Section: Introductionmentioning
confidence: 99%
“…The evaluation of policies and programs, particularly resettlement initiatives, is heavily influenced by their location (Lebel et al, 2007). Positive or negative policy implementation outcomes are often associated with specific spatial contexts.…”
Section: Introductionmentioning
confidence: 99%