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A Critical Review of High and Very High-Resolution Remote Sensing Approaches for Detecting and Mapping Slums: Trends, Challenges and Emerging Opportunities

Ron Mahabir, Arie Croitoru, Andrew Crooks, Peggy Agouris, Anthony Stefanidis
2018 Urban Science  
Motivated by these limitations, remote sensing has emerged as a feasible approach for the large-scale collection of slum information at a fine level of granularity.  ...  From Surveys to Remote Sensing Data in Slum Mapping One of the most widely used tools for collecting information on slums has been the use of population and housing census surveys.  ...  Author Contributions: All authors contributed to the design of the methodology and the writing of the paper. R.M. collected the data and carried out the analysis.  ... 
doi:10.3390/urbansci2010008 fatcat:w6ddmsalljchvlv7quhjvatc74

Deep residential representations: Using unsupervised learning to unlock elevation data for geo-demographic prediction [article]

Matthew Stevenson, Christophe Mues, Cristián Bravo
2021 arXiv   pre-print
LiDAR (short for "Light Detection And Ranging" or "Laser Imaging, Detection, And Ranging") technology can be used to provide detailed three-dimensional elevation maps of urban and rural landscapes.  ...  However, the geographically granular and open-source nature of this data also lends itself to an array of societal, organizational and business applications where geo-demographic type data is utilised.  ...  Acknowledgements The authors acknowledge the use of the IRIDIS High Performance Computing Facility, and associated support services at the University of Southampton, in the completion of this work.  ... 
arXiv:2112.01421v1 fatcat:u7i54r5gsrdhrm3bvwr5qzxgze

OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing

John E. Vargas Munoz, Shivangi Srivastava, Devis Tuia, Alexandre X. Falcao
2020 IEEE Geoscience and Remote Sensing Magazine  
We believe that OSM (as well as other sources of open land maps) can change the way we interpret remote sensing data and that the synergy with machine learning can scale participatory map making and its  ...  Such methods aim either 1) at improving the coverage and quality of OSM layers, typically using GIS and remote sensing technologies, or 2) at using the existing OSM layers to train models based on image  ...  ACKNOWLEDGMENT This research was funded by Fundação de Amparoà Pesquisa do Estado de São Paulo (FAPESP, grant 2016/14760-5 and 2014/12236-1), Conselho Nacional de Desenvolvimento Científico e Tecnológico  ... 
doi:10.1109/mgrs.2020.2994107 fatcat:qwv7nypcsnb33hap37jsjqftru

Street view imagery in urban analytics and GIS: A review

Filip Biljecki, Koichi Ito
2021 Landscape and Urban Planning  
Street view imagery has rapidly ascended as an important data source for geospatial data collection and urban analytics, deriving insights and supporting informed decisions.  ...  Such surge has been mainly catalysed by the proliferation of large-scale imagery platforms, advances in computer vision and machine learning, and availability of computing resources.  ...  This research is part of the project Large-scale 3D Geospatial Data for Urban Analytics, which is supported by the National University of Singapore under the Start Up Grant R-295-000-171-133.  ... 
doi:10.1016/j.landurbplan.2021.104217 fatcat:con7lts4f5cc7bwu2w6htpznze

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
ExtremeEarth is a European H2020 project; it aims at developing analytics techniques and technologies that combine Copernicus satellite data with information and knowledge extraction, and exploiting them  ...  This approach is also a simple way to generate benchmarking datasets that can be used for testing and validating different algorithms, and for creating additional bigger datasets for large-scale demonstrations  ...  The use of multi-or hyperspectral remote sensing data into soil monitoring and digital mapping can provide a large-scale survey, comprehensive and effective sites' monitoring and assess topsoil variables  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

Issue 29 Introduction: Computing the City

Armin Beverungen, Florian Sprenger
2017 Fibreculture Journal  
The current talk of 'environmental media' and 'smart architecture' and the change from intelligently-built to intelligent houses or urban spaces resonates with imperatives of sustainability, the politics  ...  contains so many services that the hardware could stand up by itself without any assistance from the house, why have a house to hold it up?'  ...  We would also like to sincerely thank our reviewers for their help during the peer review process, and Su Ballard and Mat Wall-Smith for the very enjoyable collaboration.  ... 
doi:10.15307/fcj.29.212.2017 fatcat:zoqi2hu5frhyxfmdsmqktyrxiq

Thiessen Polygons [chapter]

2017 Encyclopedia of GIS  
Definition Geographic information is inherently spatial and temporal. Geographic applications often demand an integrative approach to examine changes and interactions over space and time.  ...  use of remote sensing data.  ...  Meanwhile satellite imagery users are best suited to exploit and disseminate remote sensing data, partnering with satellite imagery vendors to oversee tasking and processing by satellite operators.  ... 
doi:10.1007/978-3-319-17885-1_101387 fatcat:gzp2stwscbcf7eupd3h6eztjri

A Survey of Computer Vision Methods for 2D Object Detection from Unmanned Aerial Vehicles

Dario Cazzato, Claudio Cimarelli, Jose Luis Sanchez-Lopez, Holger Voos, Marco Leo
2020 Journal of Imaging  
concerning what is sensed.  ...  Most investigated research topics focus on increasing autonomy during operational campaigns, environmental monitoring, surveillance, maps, and labeling.  ...  Various studies have extracted map parts from high-resolution remotely sensed images using two main techniques, namely data-driven and heuristic methods.  ... 
doi:10.3390/jimaging6080078 pmid:34460693 pmcid:PMC8321148 fatcat:ds4kpheadvg6xp2fambrp6nffq

Fragments in Connection and Algorithmic Rule: Encoding the Urban Image in Motion

Christiane Wagner
2022 Zenodo  
abstract sense.  ...  Therefore, concrete and imagined urban experiences (Benjamin) are analyzed by assemblages and montages of fragmented images originated and influenced by cinematographic and animation languages to construct  ...  ACKNOWLEDGEMENTS This paper has been produced through research funded by the Azrieli School of Architecture & Urbanism Sabbatical Fund, Mitacs Globalink Grant, City of Ottawa ARTicipate Grant, and the  ... 
doi:10.5281/zenodo.6503017 fatcat:iwebxttjgbcc5joe7bsmcmbcfe

Cross-Covariance Models [chapter]

2017 Encyclopedia of GIS  
The complexity of spatial data and intrinsic spatial relationships limits the usefulness of conventional data mining techniques for extracting spatial patterns.  ...  Cross-References Indexing, Hilbert R-tree, Spatial Indexing, Multimedia Indexing The explosive growth of spatial data and widespread use of spatial databases emphasize the need for the automated discovery  ...  methods by using an actual real estate data set with house prices.  ... 
doi:10.1007/978-3-319-17885-1_100240 fatcat:2ojzb7es7rhofinw4abol6dgc4

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
The symposium, like our other conferences and activities, would not be possible without the dedicated contribution of our participants and members.  ...  SPIE would like to express its deepest appreciation to the symposium chairs, conference chairs, Programme committees, and session chairs who have so generously given of their time and advice to make this  ...  for providing the Radarsat-2, TerraSAR-X and weather data respectively.  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

Artistic, Cultural, and Political Interdependence: Cities in Motion Facing the Challenges of Technological Advances." In Cities in a Changing World edited by J. Montgomery. AMPS Proceedings Series

Christiane Wagner
2022 Zenodo  
Therefore, it is not trivial to distinguish the political and economic aspects of a social fact from its immediate need to find solutions for the urban environment.  ...  The urban space has always been one of the main environments in which musical, artistic, and cultural achievements, integration, and new develo [...]  ...  Gaspar, and Pedro O. Teixeira for the visual assistance to the first author. ACKNOWLEDGEMENTS  ... 
doi:10.5281/zenodo.6140332 fatcat:c7dfrabgjfgg3lgeddyzoecovu

Monitoring the Application [chapter]

Adam Shackelford
2015 Beginning Amazon Web Services with Node.js  
We also want to vary communication parameters such as RTT (Retry-Timeout-Timers), MTU (Maximum Transmission Unit) sizes and so on.  ...  During the next few months we are doing field trials that will help us test if these ideas are practically feasible in adapting communication protocols to improve communication between gliders and shore  ...  in collaborative/social mapping of the urban image (i.e., the texture of the urban environment) at some target geolocation (see Figure 1 ).  ... 
doi:10.1007/978-1-4842-0653-9_7 fatcat:b6s3wv3jcvf6xiniouokdhwtba

State Of The Art Analysis Report

Miguel Ángel Esbrí
2014 Zenodo  
projects, as well as initia-tives and policies and data sources repositories (specially at local, national and European level) which are relevant for defining and implementing the different aspects of  ...  This document is the "State of the art analysis report" deliverable and its main objective is to collect information about standards, existing technologies, architectures and systems developed in other  ...  MicroMSI MicroMSI 172 for Windows is a remote sensing imagery analysis program designed for use in introductory courses in remote sensing, developed by the National Geospatial-Intelligence Agency.  ... 
doi:10.5281/zenodo.200497 fatcat:otpyumabc5fbpgqmixtgmt7hli

Positioning Methods and the Use of Location and Activity Data in Forests

Robert F. Keefe, Ann M. Wempe, Ryer M. Becker, Eloise G. Zimbelman, Emily S. Nagler, Sophie L. Gilbert, Christopher C. Caudill
2019 Forests  
remote areas.  ...  Data with greater spatial and temporal complexity is typically processed incrementally at lower tiers, then fused and summarized at higher levels of incident command or resource management.  ...  and relative positioning, and selected other terms and concepts. Thus, the inclusion of additional terms and concepts beyond the original systematic searches is a form of bias.  ... 
doi:10.3390/f10050458 fatcat:b4m7rl7tqvg7xdivzspgne46xq
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