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Open Geospatial Data, Software and Standards
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  2. Of the many features that smart cities offer, safe and comfortable mobility of pedestrians within the built environment is of particular importance. Safe and comfortable mobility requires that the built enviro...

    Authors: Bradley Wheeler, Meirman Syzdykbayev, Hassan A. Karimi, Raanan Gurewitsch and Yanbo Wang

    Citation: Open Geospatial Data, Software and Standards 2020 5:2

    Content type: Original article

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  3. This paper is the editorial of the Special Issue “Open Source Geospatial Software”, which features 10 published papers. The editorial introduces the concept of openness and, within the geospatial context, decl...

    Authors: Marco Minghini, Amin Mobasheri, Victoria Rautenbach and Maria Antonia Brovelli

    Citation: Open Geospatial Data, Software and Standards 2020 5:1

    Content type: Editorial

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  5. PyWPS 4 is a re–make of the Python implementation of the WPS standard. It is the result of the work of over a dozen individual contributors, during a period of almost three years. One of the goals driving this...

    Authors: Luís Moreira de Sousa, Jorge Mendes de Jesus, Jachym Čepicky, Athanasios Tom Kralidis, David Huard, Carsten Ehbrecht, Suzana Barreto and Jonas Eberle

    Citation: Open Geospatial Data, Software and Standards 2019 4:13

    Content type: Software

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  6. Crowdsourced, open geospatial data such as the data compiled through OpenStreetMap have proven useful in addressing humanitarian, disaster and development needs. However, the existing ways in which volunteers ...

    Authors: Kshitiz Khanal, Nama Raj Budhathoki and Nancy Erbstein

    Citation: Open Geospatial Data, Software and Standards 2019 4:12

    Content type: Original article

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  7. OSM2LULC is a software package developed to automatically convert OpenStreetMap (OSM) data into Land Use Land Cover (LULC) maps using Free and Open Source Software for Geospatial (FOSS4G) tools. It needs to be...

    Authors: J. Patriarca, C. C. Fonte, J. Estima, J.-P. de Almeida and A. Cardoso

    Citation: Open Geospatial Data, Software and Standards 2019 4:11

    Content type: Original article

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  8. The study of past sea levels relies largely on the interpretation and quantification of sea-level indicators. These are fossil coastal landforms, bioconstructions or deposits that have a quantifiable relation ...

    Authors: Thomas Lorscheid and Alessio Rovere

    Citation: Open Geospatial Data, Software and Standards 2019 4:10

    Content type: Original article

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  11. Indoor maps, and therefore the indoor map data and software that uses them, are used by architects, designers and planners, those in public safety and emergency response, facilities management and even adverti...

    Authors: J. Gelernter and Nishith Maheshwari

    Citation: Open Geospatial Data, Software and Standards 2019 4:7

    Content type: Original article

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  12. The opportunities of retrieving geospatial datasets as open data and the reliability of Free and Open Source Software (FOSS) GIS increased the possibilities of performing a large number of geospatial analyses....

    Authors: Pietro Mattivi, Francesca Franci, Alessandro Lambertini and Gabriele Bitelli

    Citation: Open Geospatial Data, Software and Standards 2019 4:6

    Content type: Original article

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  13. LandInfra is a relatively new open standard for modelling and representing land and infrastructure features. As it overlaps with other open standards in BIM (IFC) and 3D GIS (CityGML), it has been recognised a...

    Authors: Kavisha Kumar, Anna Labetski, Ken Arroyo Ohori, Hugo Ledoux and Jantien Stoter

    Citation: Open Geospatial Data, Software and Standards 2019 4:5

    Content type: Original article

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  14. The international standard CityGML is both a data model and an exchange format to store digital 3D models of cities. While the data model is used by several cities, companies, and governments, in this paper we...

    Authors: Hugo Ledoux, Ken Arroyo Ohori, Kavisha Kumar, Balázs Dukai, Anna Labetski and Stelios Vitalis

    Citation: Open Geospatial Data, Software and Standards 2019 4:4

    Content type: Original article

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  15. OpenStreetMap (OSM) is a collaborative project collecting geographical data of the entire world. The level of detail of OSM data and its data quality vary much across different regions and domains. In order to...

    Authors: Martin Raifer, Rafael Troilo, Fabian Kowatsch, Michael Auer, Lukas Loos, Sabrina Marx, Katharina Przybill, Sascha Fendrich, Franz-Benjamin Mocnik and Alexander Zipf

    Citation: Open Geospatial Data, Software and Standards 2019 4:3

    Content type: Software

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  16. We describe the process and tools that we have used to generate and publish the BTN100 Linked Dataset, based on the original data from the Spanish Topographic Base (1:100.000 scale) from the Spanish Instituto ...

    Authors: Paola Espinoza-Arias, Miguel García-Delgado, Oscar Corcho, Pedro Vivas-White and Hugo Potti-Manjavacas

    Citation: Open Geospatial Data, Software and Standards 2019 4:2

    Content type: Original article

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  17. In its quest for a common European Spatial Data Infrastructure INSPIRE has also addressed the category of spatio-temporally extended coverages, in particular: raster data. The INSPIRE definition of coverages i...

    Authors: Peter Baumann and Jordi Escriu

    Citation: Open Geospatial Data, Software and Standards 2019 4:1

    Content type: Original article

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  18. While there exist international standards for geospatial metadata (ISO 19115), these are rarely used in practice for 3D datasets, and one of the OGC standards for 3D city models, CityGML, does not offer a mech...

    Authors: Anna Labetski, Kavisha Kumar, Hugo Ledoux and Jantien Stoter

    Citation: Open Geospatial Data, Software and Standards 2018 3:16

    Content type: Original article

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  19. The explosive growth of geospatial data has stimulated the development of many standards aimed at decreasing data heterogeneity and enhancing data use. Well-established design methods for geospatial data stand...

    Authors: Boyan Brodaric, Eric Boisvert, Peter Dahlhaus, Sylvain Grellet, Alexander Kmoch, François Létourneau, Jessica Lucido, Bruce Simons and Bernhard Wagner

    Citation: Open Geospatial Data, Software and Standards 2018 3:15

    Content type: Original article

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  20. Several technologies provide datasets consisting of a large number of spatial points, commonly referred to as point-clouds. These point datasets provide spatial information regarding the phenomenon that is to ...

    Authors: Francesco Pirotti, Roberta Ravanelli, Francesca Fissore and Andrea Masiero

    Citation: Open Geospatial Data, Software and Standards 2018 3:14

    Content type: Original article

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  21. The Application Domain Extension (ADE) is a built-in mechanism of CityGML to augment its data model with additional concepts required by particular use cases. The goal of this paper is to provide an overview o...

    Authors: Filip Biljecki, Kavisha Kumar and Claus Nagel

    Citation: Open Geospatial Data, Software and Standards 2018 3:13

    Content type: Review

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  23. During coursework and research projects, several geospatial algorithms are produced and mentioned by authors in written documents. However, these products often remain unavailable after the end of the projects...

    Authors: Eduardo Silverio da Silva and Silvana Philippi Camboim

    Citation: Open Geospatial Data, Software and Standards 2018 3:11

    Content type: Original article

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  24. Route prediction play a vital role in many important location-based applications like resource prediction in grid computing, traffic congestion estimation, vehicular ad-hoc networks, travel recommendation etc....

    Authors: Vishnu Shankar Tiwari and Arti Arya

    Citation: Open Geospatial Data, Software and Standards 2018 3:10

    Content type: Original article

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  27. On the web there is a large number of useful geospatial datasets available, exposed via web map services using open standards or open protocols. Just as web search engines enable users to reliably search and f...

    Authors: Paolo Corti, Benjamin Lewis and Athanasios Tom Kralidis

    Citation: Open Geospatial Data, Software and Standards 2018 3:8

    Content type: Software

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  29. Over the last decade, more and more cities and even countries worldwide are creating semantic 3D city models of their physical environment based on the international CityGML standard issued by the Open Geospat...

    Authors: Zhihang Yao, Claus Nagel, Felix Kunde, György Hudra, Philipp Willkomm, Andreas Donaubauer, Thomas Adolphi and Thomas H. Kolbe

    Citation: Open Geospatial Data, Software and Standards 2018 3:5

    Content type: Software

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  31. Sensor technologies and capabilities have an effect on observational data quality. Typically, data management begins, at best, when a data manager obtains the data and needs to describe it sufficiently to data...

    Authors: Janet Fredericks and Mike Botts

    Citation: Open Geospatial Data, Software and Standards 2018 3:3

    Content type: Original article

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  32. The road towards achievement of the climate protection goals requires, among the rest, a thorough rethinking of the energy planning tools (and policies) at all levels, from local to global. Nevertheless, it is...

    Authors: Giorgio Agugiaro, Joachim Benner, Piergiorgio Cipriano and Romain Nouvel

    Citation: Open Geospatial Data, Software and Standards 2018 3:2

    Content type: Original article

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  34. Crowdsourcing (geo-) information and participatory GIS are among the current hot topics in research and industry. Various projects are implementing participatory sensing concepts within their workflow in order...

    Authors: Amin Mobasheri, Jonas Deister and Holger Dieterich

    Citation: Open Geospatial Data, Software and Standards 2017 2:27

    Content type: Software

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  36. Research in time-series remote sensing data is receiving increasing attention. With the availability of relatively short repeat cycle and high spatial resolution satellite data, the construction and applicatio...

    Authors: Zhuokun Pan, Yueming Hu and Bin Cao

    Citation: Open Geospatial Data, Software and Standards 2017 2:25

    Content type: Original article

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  39. Sensor engineering is continuously evolving as devices become cheaper, smaller, more intelligent, and more efficient. Today, oceanographic sensors aim at monitoring marine processes by means of physical, chemi...

    Authors: Elena Partescano, Alberto Brosich, Marina Lipizer, Vanessa Cardin and Alessandra Giorgetti

    Citation: Open Geospatial Data, Software and Standards 2017 2:22

    Content type: Original article

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  41. The paper retraces the GRASPgfs endeavor (Geospatial Resource for Agricultural Species and Pests with integrated workflow modelling to support Global Food Security) between multiple disciplines around a common...

    Authors: Didier G. Leibovici, Suchith Anand, Roberto Santos, Sean Mayes, Rumiana Ray, Masoud Al-Azri, Abdul Baten, Graham King, Asha S. Karunaratne, Sayed Azam-Ali and Mike J. Jackson

    Citation: Open Geospatial Data, Software and Standards 2017 2:20

    Content type: Original article

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  42. The Open Geospatial Consortium (OGC) has conducted much work in the past on event-based models and architectures. However, the current OGC standard baseline only supports synchronous web service capabilities, ...

    Authors: Lorenzo Bigagli and Matthes Rieke

    Citation: Open Geospatial Data, Software and Standards 2017 2:18

    Content type: Original article

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  43. The appropriate resolution of a zone system is key to the development of any transport model, as well as other spatial analyses. The number and shape of zones directly impacts the effectiveness of any further ...

    Authors: Joseph Molloy and Rolf Moeckel

    Citation: Open Geospatial Data, Software and Standards 2017 2:19

    Content type: Original Article

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  44. Principal components analysis (PCA) is based conventially on the eigenvector decomposition (EVD). Mean-centering the input data prior to the eigenanalysis is treated as an integral part of the algorithm. It en...

    Authors: Nikos Alexandris, Sandeep Gupta and Nikos Koutsias

    Citation: Open Geospatial Data, Software and Standards 2017 2:17

    Content type: Original Article

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  45. The increase in the number of remote sensing platforms, ranging from satellites to close-range Remotely Piloted Aircraft System (RPAS), is leading to a growing demand for new image processing and classificatio...

    Authors: Marco Piragnolo, Andrea Masiero and Francesco Pirotti

    Citation: Open Geospatial Data, Software and Standards 2017 2:16

    Content type: Original article

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  46. Orfeo ToolBox is an open-source project for state-of-the-art remote sensing, including a fast image viewer, applications callable from command-line, Python or QGIS, and a powerful C++ API. This article is an i...

    Authors: Manuel Grizonnet, Julien Michel, Victor Poughon, Jordi Inglada, Mickaël Savinaud and Rémi Cresson

    Citation: Open Geospatial Data, Software and Standards 2017 2:15

    Content type: Software

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  47. The publication familiarizes the reader with MicMac - a free, open-source photogrammetric software for 3D reconstruction. A brief history of the tool, its organisation and unique features vis-à-vis other softw...

    Authors: Ewelina Rupnik, Mehdi Daakir and Marc Pierrot Deseilligny

    Citation: Open Geospatial Data, Software and Standards 2017 2:14

    Content type: Software

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  48. The mission of the United States Environmental Protection Agency (EPA) is to protect human health and the environment, including air, water and land. Understanding the extent of pollution in waters and identif...

    Authors: Tad Slawecki, Dwane Young, Britt Dean, Brandon Bergenroth and Kimberly Sparks

    Citation: Open Geospatial Data, Software and Standards 2017 2:13

    Content type: Original article

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  49. In the last decade Photogrammetry has shown to be a valid alternative to LiDAR techniques for the generation of dense point clouds in many applications. However, dealing with large image sets is computationall...

    Authors: Oscar Martinez-Rubi, Francesco Nex, Marc Pierrot-Deseilligny and Ewelina Rupnik

    Citation: Open Geospatial Data, Software and Standards 2017 2:12

    Content type: ORIGINAL ARTICLE

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  • ISSN: 2363-7501 (electronic)