Mapping syndromes of land change in Spain with remote sensing time series, demographic and climatic data

Stellmes, Marion; Röder, Achim; Udelhoven, T.; Hill, Joachim

doi:10.1016/j.landusepol.2012.05.007

Cited by 114 publications

(78 citation statements)

References 85 publications

(92 reference statements)

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“…Over this material, the luvisols formed, and in the far north and south, limonites and loams appeared-luvisols developed in the southern part of the city, and cambisols appeared in the far north, as shown on the soil map, for which the FAO classification has been used [53] (Figure 3C). The hydrological map ( Figure 3D) exhibits the rivers and streams of the town as well as the areas protected by the Hydraulic Public Domain (HPD) [54][55][56]. Before carrying out a detailed study regarding the various factors, Zamora's physical environment was characterized (in terms of land use and geological, edaphological, and hydrological characteristics) in order to provide a basis for the analysis of restrictive factors, using information from the National Geographic Institute of Spain.…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Multi-Criteria Analyses of Urban Planning for City Expansion: A Case Study of Zamora, Spain

et al. 2017

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Abstract:This study has established a methodology to determine the most environmentally suitable area for the expansion of Zamora (Spain) using geographic information system (GIS) technology. The objective was to develop a GIS-based methodology for the identification of urban peripheral areas that are suitable for the accommodation of new buildings and services, that are compliant with environmental criteria, and that guarantee an adequate quality of life for the future population such that extra construction costs are avoided. The methodological core is based on two multi-criteria analyses (MCAs): MCA-1 determines areas suitable for building-the most environmentally sustainable areas that do not present risks or discomforts to the population-by analyzing the restrictive factors; MCA-2 takes the sectors that received a favorable evaluation in MCA-1, determines which of those have a lower economic overhead for construction, and analyzes the different conditioning criteria related to their pre-existing infrastructures. Finally, the location of the sectors is determined by a decision factor that satisfies some strategic need of the municipality.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Multi-Criteria Analyses of Urban Planning for City Expansion: A Case Study of Zamora, Spain

et al. 2017

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“…Anomaly detection algorithms based on the pattern representation of a time series, or pattern density of a time series, all focus on the Gaussian signals of the second order statistics [13][14][15]. For non-Gaussian signals, the second order statistics are just one part of the information.…”

Section: Anomaly Detection Algorithmsmentioning

confidence: 99%

Power Quality Early Warning Based on Anomaly Detection

Gu¹,

Bai²,

Yuan³

et al. 2014

Journal of Electrical Engineering and Technology

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-Different power quality (PQ) disturbance sources can have major impacts on the power supply grid. This study proposes, for the first time, an early warning approach to identifying PQ problems and providing early warning prompts based on the monitored data of PQ disturbance sources. To establish a steady-state power quality early warning index system, the characteristics of PQ disturbance sources are analyzed and summed up. The higher order statistics anomaly detection (HOSAD) algorithm, based on skewness and kurtosis, and hierarchical power quality early warning flow, were then used to mine limit-exceeding and abnormal data and analyze their severity. Cases studies show that the proposed approach is effective and feasible, and that it is possible to provide timely power quality early warnings for limit-exceeding and abnormal data.

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“…thus issues related to LULC have currently attracted interests of different researchers (Stellmes et al 2013). Urban Cellular automata (UCA) models are among the most popular ways in simulating urban systems, especially for LULC and sprawl (Chen et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Impact of Spatial Filter on Land-Use Changes Modelling Using Urban Cellular Automata

Omidipoor¹,

Samani²

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Urban cellular automata is used vastly in simulating of urban evolutions and dynamics. Finding an appropriate neighbourhood size in urban cellular automata modelling is important because the outputs are strongly influenced by input parameters. This paper investigates the impact of spatial filters on behaviour and outcome of urban cellular automata models. In this study different spatial filters in various sizes including 3*3, 5*5, 7*7, 9*9, 11*11, 13*13, 15*15 and 17*17 cells are used in a scenario of land-use changes. The proposed method is examined changes in size and shape of spatial filter whereas the resolution was kept fixed. The implementation results in Ahvaz city demonstrated that KAPPA index is changed in different shapes and types at the time when different spatial filters are used. However, circular shape with size of 5*5 offers better accuracy.

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Mapping syndromes of land change in Spain with remote sensing time series, demographic and climatic data

Cited by 114 publications

References 85 publications

Multi-Criteria Analyses of Urban Planning for City Expansion: A Case Study of Zamora, Spain

Multi-Criteria Analyses of Urban Planning for City Expansion: A Case Study of Zamora, Spain

Power Quality Early Warning Based on Anomaly Detection

Impact of Spatial Filter on Land-Use Changes Modelling Using Urban Cellular Automata

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