Imperviousness Change Analysis Tool (I-CAT) for simulating pixel-level urban growth

Soil Sealing and the Complex Bundle of Influential Factors: Germany as a Case Study

“…Previous studies at the local and regional level have confirmed the potential of these techniques to determine the extent of soil sealing both in Germany (such as Agglomeration Cologne/Bonn: [19]; Stuttgart: [20]; North Rhine-Westphalia: [21]; Bavaria: [22,23] and elsewhere (such as the Columbus Metropolitan Area, Ohio: [24]; large regions in the USA: [25]; and Italy: [26,27]). Furthermore, efforts have been made to predict impervious surface extents based on urban growth models (e.g., [28]). …”

Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm

“…However, there are a limited number of studies that consider the expansion of several urban densities and/or densification in a variety of ways. Mustafa et al (2015), Robinson et al (2012), Sunde et al (2014), Xian and Crane (2005), Yang (2010) and Zhang et al (2011) model the expansion of different urban/built-up densities. Crols et al (2015), Loibl and Toetzer (2003) and White et al (2015White et al ( , 2012 model the processes of urban expansion as well as of densification.…”

Urban Ecological Security Simulation and Prediction Using an Improved Cellular Automata (CA) Approach—A Case Study for the City of Wuhan in China

“…It is composed of the pressure index for ecological environment problems, state index for eco-environment status, and response index for social and economic measures that quantify human’s response to ecological problems. The pressure index consists of three indicators: urban growth degree (UGD) [ 29 ], urban growth capacity (UGC) [ 42 , 43 , 44 , 45 , 46 , 47 , 48 ], and urban growth pattern (UGP) [ 49 , 50 , 51 ]. The ecological security status of an ecosystem was considered from three aspects: ecological function, ecological structure, and ecological resilience [ 52 ].…”