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Urban Land Systems: An Ecosystems Perspective

Authors: --- ---
ISBN: 9783038429173 9783038429180 Year: Pages: VIII, 192 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Environmental Sciences
Added to DOAB on : 2018-07-02 12:55:50
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Global urbanization creates challenges towards sustainability and human well-being. Urban areas are dependent on the ecosystems beyond the city limits but also benefit from the internal urban green places. An understanding of the importance of urban ecosystem services means that urban greenery can be designedly maintained or even expanded. As cities are expected to grow at a rapid rate in the coming decades, it is important that the ecosystem perspective is understood and valued by city planners and political decision-makers. This special issue highlights some aspects related to urban sprawl dynamics and urban ecosystem management. Observations and studies presented in ten papers show that urbanization affects essential ecological, economic, and social landscape functions, whose importance is often undervalued in cities worldwide.

Land Squandering and Social Crisis in the Spanish City

Authors: --- ---
ISBN: 9783038979463 9783038979470 Year: Pages: 220 DOI: 10.3390/books978-3-03897-947-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-06-26 08:44:06
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The last two decades have been marked by intense and accelerated economic, political, and cultural processes that have affected urban spaces. These changes have occurred in different parts of cities (traditional centers, edges, peripheries) and at different levels of the urban system (large and medium-sized cities and in their respective areas of influence). Possibly the clearest expression of the spatial effects on cities can be perceived in their morphological transformations, their territorial dimensions, or in their social problems. Until 2008, urban–territorial processes were a reflection of the logic and inconsistencies of an expansive economic context and of a structural context that favored the development of cities through concurrent processes and actors. As a result, the built land and amount of urbanized and built surfaces increased, together with processes of the expansion and modernization of cities. Since 2008, the expansive economic cycle has ended, and there have been diverse negative consequences. Notably, the construction sector has come to an abrupt halt. Access to credit has also been reduced, and unemployment has increased. The economic recession has caused sociodemographic and socioeconomic issues exemplified by housing vulnerability, with dispossession, evictions, a shortage of social housing, and energy poverty.

Keywords

counter-urbanization --- Extremadura --- urban expansion --- periurbanization --- rurbanization --- suburbanization --- illegal urbanization --- sharing economies --- urban conflicts --- Valencia --- Airbnb --- Uber --- foreclosure --- eviction --- economic crisis --- post-crisis --- housing vulnerability --- Spanish city --- housing bubble --- financialization --- holiday home --- housing market --- eco-neighborhood --- sustainable urban neighborhoods --- Madrid --- periphery --- urban regeneration --- social housing --- urban sustainability --- social-vulnerability --- urban segregation --- school choice --- educational level --- social inequalities --- neighbourhood effect --- dispersed urbanism --- residential strategies --- residential mobility --- economic crisis --- Barcelona Metropolitan Region --- social crisis --- land squandering --- urbanization --- night lights --- remote sensing --- land uses --- seasonality --- Suomi NPP VIIRS --- socio-environmental vulnerability --- Barcelona --- spatial analysis --- qualitative methodology --- vulnerable neighborhoods --- neoliberal urban policy --- residential mobility --- foreign immigration --- Cabanyal --- Valencia --- economic crisis --- urban sprawl --- consumption --- water --- Alicante --- urban sprawl --- medium-size cities --- expansive city planning --- urban geography --- urbanism --- urban growth --- medium-sized city --- suburbanization --- Spain --- urbanization process --- real estate bubble --- urban sprawl --- urban vulnerability --- residential segregation --- urban inequality --- Spain

Remote Sensing based Building Extraction

Authors: --- --- ---
ISBN: 9783039283828 9783039283835 Year: Pages: 442 DOI: 10.3390/books978-3-03928-383-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Construction
Added to DOAB on : 2020-04-07 23:07:09
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Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic building extraction and modeling is still largely impeded by scene complexity, incomplete cue extraction, and sensor dependency of data. Most recently, deep neural networks (DNN) have been widely applied for high classification accuracy in various areas including land-cover and land-use classification. Therefore, intelligent and innovative algorithms are needed for the success of automatic building extraction and modeling. This Special Issue focuses on newly developed methods for classification and feature extraction from remote sensing data for automatic building extraction and 3D

Keywords

roof segmentation --- outline extraction --- convolutional neural network --- boundary regulated network --- very high resolution imagery --- building boundary extraction --- convolutional neural network --- active contour model --- high resolution optical images --- LiDAR --- richer convolution features --- building edges detection --- high spatial resolution remote sensing imagery --- building --- modelling --- reconstruction --- change detection --- LiDAR --- point cloud --- 3-D --- building extraction --- deep learning --- attention mechanism --- very high resolution --- imagery --- building detection --- aerial images --- feature-level-fusion --- straight-line segment matching --- occlusion --- building regularization technique --- point clouds --- boundary extraction --- regularization --- building reconstruction --- digital building height --- 3D urban expansion --- land-use --- DTM extraction --- open data --- developing city --- accuracy analysis --- building detection --- building index --- feature extraction --- mathematical morphology --- morphological attribute filter --- morphological profile --- building extraction --- deep learning --- semantic segmentation --- data fusion --- high-resolution satellite images --- GIS data --- high-resolution aerial images --- deep learning --- generative adversarial network --- semantic segmentation --- Inria aerial image labeling dataset --- Massachusetts buildings dataset --- building extraction --- simple linear iterative clustering (SLIC) --- multiscale Siamese convolutional networks (MSCNs) --- binary decision network --- unmanned aerial vehicle (UAV) --- image fusion --- high spatial resolution remotely sensed imagery --- object recognition --- deep learning --- method comparison --- LiDAR point cloud --- building extraction --- elevation map --- Gabor filter --- feature fusion --- semantic segmentation --- urban building extraction --- deep convolutional neural network --- VHR remote sensing imagery --- U-Net --- remote sensing --- deep learning --- building extraction --- web-net --- ultra-hierarchical sampling --- 3D reconstruction --- indoor modelling --- mobile laser scanning --- point clouds --- 5G signal simulation --- building extraction --- high-resolution aerial imagery --- fully convolutional network --- semantic segmentation --- n/a

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