23.8.14 GIS: Volunteered Geographic Information, Open Access, Crowd Sourcing, Crowdsource

Chapter Contents (Back)
Crowdsourced. Volunteered Data. Open Data. Systems. GIS. VGI. Open access for data, software is elsewhere. OpenMap. Open Street Map specifically:
See also GIS: Volunteered Geographic Information, OpenStreetMap, Open Street Map. General crowdsource:
See also Crowdsourcing, Recognition, Analysis, Descriptions.
See also CityGML.

Fritz, S., McCallum, I., Schill, C., Perger, C., Grillmayer, R., Achard, F., Kraxner, F., Obersteiner, M.,
Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover,
RS(1), No. 3, September 2009, pp. 345-354.
DOI Link 1203
Award, Remote Sensing, Second. for 2009. BibRef

Shahabi, C.[Cyrus],
Crowdsourcing What Is Where: Community-Contributed Photos as Volunteered Geographic Information,
MultMedMag(17), No. 4, October-December 2010, pp. 36-45.
IEEE DOI 1011
BibRef

Whang, K.Y.[Kyu-Young], Lee, J.G.[Jae-Gil], Kim, M.S.[Min-Soo], Lee, M.J.[Min-Jae], Lee, K.H.[Ki-Hoon], Han, W.S.[Wook-Shin], Kim, J.S.[Jun-Sung],
Tightly-coupled spatial database features in the Odysseus/OpenGIS DBMS for high-performance,
GeoInfo(14), No. 4, October 2010, pp. 425-446.
WWW Link. 1011
BibRef

Baumann, P.[Peter],
The OGC web coverage processing service (WCPS) standard,
GeoInfo(14), No. 4, October 2010, pp. 447-479.
WWW Link. 1011
Standards for retreival in GIS. OGC: Open GeoSpatial Consortium BibRef

Heipke, C.[Christian],
Crowdsourcing geospatial data,
PandRS(65), No. 6, November 2010, pp. 550-557.
Elsevier DOI 1101
Mapping; Web 2.0; Geo-referencing; User-generated content; Crowdsourcing BibRef

de Leeuw, J., Said, M., Ortegah, L., Nagda, S., Georgiadou, Y., DeBlois, M.,
An Assessment of the Accuracy of Volunteered Road Map Production in Western Kenya,
RS(3), No. 2, February 2011, pp. 247-256.
DOI Link 1203
BibRef

Feng, C.C.[Chen-Chieh],
Mapping Geospatial Metadata to Open Provenance Model,
GeoRS(51), No. 11, 2013, pp. 5073-5081.
IEEE DOI 1312
geographic information systems BibRef

Criscuolo, L.[Laura], Pepe, M.[Monica], Seppi, R.[Roberto], Bordogna, G.[Gloria], Carrara, P.[Paola], Zucca, F.[Francesco],
Alpine Glaciology: An Historical Collaboration between Volunteers and Scientists and the Challenge Presented by an Integrated Approach,
IJGI(2), No. 3, 2013, pp. 680-703.
DOI Link 1310
BibRef

Bakillah, M.[Mohamed], Liang, S.H.L.[Steve H.L.], Zipf, A.[Alexander], Arsanjani, J.J.[Jamal Jokar],
Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model,
IJGI(2), No. 3, 2013, pp. 766-796.
DOI Link 1310
BibRef

Jackson, S.P.[Steven P.], Mullen, W.[William], Agouris, P.[Peggy], Crooks, A.[Andrew], Croitoru, A.[Arie], Stefanidis, A.[Anthony],
Assessing Completeness and Spatial Error of Features in Volunteered Geographic Information,
IJGI(2), No. 2, 2013, pp. 507-530.
DOI Link 1307
BibRef

Jiménez, M.[Marcos], Gonzalez, M.[Magdalena], Amaro, A.[Alberto], Fernandez-Renau, A.[Alix],
Field Spectroscopy Metadata System Based on ISO and OGC Standards,
IJGI(3), No. 3, 2014, pp. 1003-1022.
DOI Link 1407
BibRef

Pope, A.[Allen], Rees, W.G.[W. Gareth], Fox, A.J.[Adrian J.], Fleming, A.[Andrew],
Open Access Data in Polar and Cryospheric Remote Sensing,
RS(6), No. 7, 2014, pp. 6183-6220.
DOI Link 1408
BibRef

Percivall, G.[George], Idol, T.[Terry], Alameh, N.[Nadine], Harrison, J.[Jeff],
Innovation in OGC: The Interoperability Program,
IJGI(4), No. 4, 2015, pp. 2362.
DOI Link 1601
Open Geospatial Consortium (OGC). BibRef

Mahabir, R.[Ron], Stefanidis, A.[Anthony], Croitoru, A.[Arie], Crooks, A.T.[Andrew T.], Agouris, P.[Peggy],
Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Fairbairn, D.[David], Al-Bakri, M.[Maythm],
Using Geometric Properties to Evaluate Possible Integration of Authoritative and Volunteered Geographic Information,
IJGI(2), No. 2, 2013, pp. 349-370.
DOI Link 1307
BibRef

Fast, V.[Victoria], Rinner, C.[Claus],
A Systems Perspective on Volunteered Geographic Information,
IJGI(3), No. 4, 2014, pp. 1278-1292.
DOI Link 1412
BibRef

Johnson-Roberson, M.[Matthew], Bryson, M.[Mitch], Douillard, B.[Bertrand], Pizarro, O.[Oscar], Williams, S.B.[Stefan B.],
Discovering salient regions on 3D photo-textured maps: Crowdsourcing interaction data from multitouch smartphones and tablets,
CVIU(131), No. 1, 2015, pp. 28-41.
Elsevier DOI 1412
Crowdsourcing BibRef

Virtanen, J.P.[Juho-Pekka], Hyyppä, H.[Hannu], Kämäräinen, A.[Ali], Hollström, T.[Tommi], Vastaranta, M.[Mikko], Hyyppä, J.[Juha],
Intelligent Open Data 3D Maps in a Collaborative Virtual World,
IJGI(4), No. 2, 2015, pp. 837.
DOI Link 1507
BibRef

Sorg, J.[Juergen], Kunkel, R.[Ralf],
Conception and Implementation of an OGC-Compliant Sensor Observation Service for a Standardized Access to Raster Data,
IJGI(4), No. 3, 2015, pp. 1076.
DOI Link 1507
Open Geospatial Consortium. BibRef

Acedo, A.[Albert], Painho, M.[Marco], Casteleyn, S.[Sven], Roche, S.[Stéphane],
Place and City: Toward Urban Intelligence,
IJGI(7), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Trilles, S.[Sergio], Díaz, L.[Laura], Huerta, J.[Joaquín],
Approach to Facilitating Geospatial Data and Metadata Publication Using a Standard Geoservice,
IJGI(6), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Rehrl, K.[Karl], Gröchenig, S.[Simon],
A Framework for Data-Centric Analysis of Mapping Activity in the Context of Volunteered Geographic Information,
IJGI(5), No. 3, 2016, pp. 37.
DOI Link 1604
BibRef

Ma, X.G.[Xiao-Gang], Erickson, J.S.[John S.], Zednik, S.[Stephan], West, P.[Patrick], Fox, P.[Peter],
Semantic Specification of Data Types for a World of Open Data,
IJGI(5), No. 3, 2016, pp. 38.
DOI Link 1604
BibRef

Yue, S.S.[Song-Shan], Chen, M.[Min], Wen, Y.N.[Yong-Ning], Lu, G.N.[Guo-Nian],
Service-oriented model-encapsulation strategy for sharing and integrating heterogeneous geo-analysis models in an open web environment,
PandRS(114), No. 1, 2016, pp. 258-273.
Elsevier DOI 1604
Geo-analysis models BibRef

Brovelli, M.A.[Maria Antonia], Minghini, M.[Marco], Zamboni, G.[Giorgio],
Public participation in GIS via mobile applications,
PandRS(114), No. 1, 2016, pp. 306-315.
Elsevier DOI 1604
GIS BibRef

Donker, F.W.[Frederika Welle], van Loenen, B.[Bastiaan], Bregt, A.K.[Arnold K.],
Open Data and Beyond,
IJGI(5), No. 4, 2016, pp. 48.
DOI Link 1604
BibRef

Comber, A.J.[Alexis J.], Fonte, C.[Cidália], Foody, G.[Giles], Fritz, S.[Steffen], Harris, P.[Paul], Olteanu-Raimond, A.M.[Ana-Maria], See, L.[Linda],
Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information,
GeoInfo(20), No. 3, July 2016, pp. 503-527.
Springer DOI 1605
BibRef

Deng, D.X.[Ding-Xiong], Shahabi, C.[Cyrus], Demiryurek, U.[Ugur], Zhu, L.H.[Lin-Hong],
Task selection in spatial crowdsourcing from worker's perspective,
GeoInfo(20), No. 3, July 2016, pp. 529-568.
WWW Link. 1605
BibRef

Shamir, L., Diamond, D., Wallin, J.,
Leveraging Pattern Recognition Consistency Estimation for Crowdsourcing Data Analysis,
HMS(46), No. 3, June 2016, pp. 474-480.
IEEE DOI 1605
Accuracy BibRef

Wang, X., Zheng, X., Zhang, Q., Wang, T., Shen, D.,
Crowdsourcing in ITS: The State of the Work and the Networking,
ITS(17), No. 6, June 2016, pp. 1596-1605.
IEEE DOI 1606
Artificial intelligence BibRef

See, L.[Linda], Mooney, P.[Peter], Foody, G.[Giles], Bastin, L.[Lucy], Comber, A.J.[Alexis J.], Estima, J.[Jacinto], Fritz, S.[Steffen], Kerle, N.[Norman], Jiang, B.[Bin], Laakso, M.[Mari], Liu, H.Y.[Hai-Ying], Milcinski, G.[Grega], Nikšic, M.[Matej], Painho, M.[Marco], Podör, A.[Andrea], Olteanu-Raimond, A.M.[Ana-Maria], Rutzinger, M.[Martin],
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information,
IJGI(5), No. 5, 2016, pp. 55.
DOI Link 1606
BibRef

Antoniou, V.[Vyron], Fonte, C.C.[Cidália Costa], See, L.[Linda], Estima, J.[Jacinto], Arsanjani, J.J.[Jamal Jokar], Lupia, F.[Flavio], Minghini, M.[Marco], Foody, G.[Giles], Fritz, S.[Steffen],
Investigating the Feasibility of Geo-Tagged Photographs as Sources of Land Cover Input Data,
IJGI(5), No. 5, 2016, pp. 64.
DOI Link 1606
BibRef

Klonner, C.[Carolin], Marx, S.[Sabrina], Usón, T.[Tomás], Porto de Albuquerque, J.[João], Höfle, B.[Bernhard],
Volunteered Geographic Information in Natural Hazard Analysis: A Systematic Literature Review of Current Approaches with a Focus on Preparedness and Mitigation,
IJGI(5), No. 7, 2016, pp. 103.
DOI Link 1608
BibRef

Gómez-Barrón, J.P.[José-Pablo], Manso-Callejo, M.Á.[Miguel-Ángel], Alcarria, R.[Ramón], Iturrioz, T.[Teresa],
Volunteered Geographic Information System Design: Project and Participation Guidelines,
IJGI(5), No. 7, 2016, pp. 108.
DOI Link 1608
BibRef

Gengler, S.[Sarah], Bogaert, P.[Patrick],
Integrating Crowdsourced Data with a Land Cover Product: A Bayesian Data Fusion Approach,
RS(8), No. 7, 2016, pp. 545.
DOI Link 1608
BibRef

Hou, D.Y.[Dong-Yang], Chen, J.[Jun], Wu, H.[Hao],
Discovering Land Cover Web Map Services from the Deep Web with JavaScript Invocation Rules,
IJGI(5), No. 7, 2016, pp. 105.
DOI Link 1608
BibRef

Elmore, A.J.[Andrew J.], Stylinski, C.D.[Cathlyn D.], Pradhan, K.[Kavya],
Synergistic Use of Citizen Science and Remote Sensing for Continental-Scale Measurements of Forest Tree Phenology,
RS(8), No. 6, 2016, pp. 502.
DOI Link 1608
BibRef

Nordrum, A.,
How to run a successful mobile crowdsourcing project developers must respect the quirks of smartphone culture,
Spectrum(53), No. 8, August 2016, pp. 22-22.
IEEE DOI 1609
Resources_At Work BibRef

Huang, C.Y.[Chih-Yuan], Chang, H.[Hao],
GeoWeb Crawler: An Extensible and Scalable Web Crawling Framework for Discovering Geospatial Web Resources,
IJGI(5), No. 8, 2016, pp. 136.
DOI Link 1609
BibRef

Jonietz, D.[David], Zipf, A.[Alexander],
Defining Fitness-for-Use for Crowdsourced Points of Interest (POI),
IJGI(5), No. 9, 2016, pp. 149.
DOI Link 1610
BibRef

Jonietz, D.[David], Antonio, V.[Vyron], See, L.[Linda], Zipf, A.[Alexander],
Highlighting Current Trends in Volunteered Geographic Information,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Salk, C.[Carl], Sturn, T.[Tobias], See, L.[Linda], Fritz, S.[Steffen],
Local Knowledge and Professional Background Have a Minimal Impact on Volunteer Citizen Science Performance in a Land-Cover Classification Task,
RS(8), No. 9, 2016, pp. 774.
DOI Link 1610
BibRef

Cox, A.J.M.[Adrian J. M.], Milsted, A.J.[Andrew J.], Gutteridge, C.J.[Christopher J.],
Data Autodiscovery: The Role of the OPD,
IJGI(5), No. 10, 2016, pp. 167.
DOI Link 1610
BibRef

Estima, J.[Jacinto], Painho, M.[Marco],
User Generated Spatial Content-Integrator: Conceptual Model to Integrate Data from Diverse Sources of User Generated Spatial Content,
IJGI(5), No. 10, 2016, pp. 183.
DOI Link 1610
BibRef

de Albuquerque, J.P.[João Porto], Herfort, B.[Benjamin], Eckle, M.[Melanie],
The Tasks of the Crowd: A Typology of Tasks in Geographic Information Crowdsourcing and a Case Study in Humanitarian Mapping,
RS(8), No. 10, 2016, pp. 859.
DOI Link 1609
BibRef

Heigl, F.[Florian], Stretz, C.R.[Carina R.], Steiner, W.[Wolfgang], Suppan, F.[Franz], Bauer, T.[Thomas], Laaha, G.[Gregor], Zaller, J.G.[Johann G.],
Comparing Road-Kill Datasets from Hunters and Citizen Scientists in a Landscape Context,
RS(8), No. 10, 2016, pp. 832.
DOI Link 1609
BibRef

Bayas, J.C.L.[Juan Carlos Laso], See, L.[Linda], Fritz, S.[Steffen], Sturn, T.[Tobias], Perger, C.[Christoph], Dürauer, M.[Martina], Karner, M.[Mathias], Moorthy, I.[Inian], Schepaschenko, D.[Dmitry], Domian, D.[Dahlia], McCallum, I.[Ian],
Crowdsourcing In-Situ Data on Land Cover and Land Use Using Gamification and Mobile Technology,
RS(8), No. 11, 2016, pp. 905.
DOI Link 1612
BibRef

Bordogna, G.[Gloria], Frigerio, L.[Luca], Kliment, T.[Tomáš], Brivio, P.A.[Pietro Alessandro], Hossard, L.[Laure], Manfron, G.[Giacinto], Sterlacchini, S.[Simone],
'Contextualized VGI' Creation and Management to Cope with Uncertainty and Imprecision,
IJGI(5), No. 12, 2016, pp. 234.
DOI Link 1612
Volunteer Geographic Information. BibRef

Mok, R.K.P., Chang, R.K.C., Li, W.,
Detecting Low-Quality Workers in QoE Crowdtesting: A Worker Behavior-Based Approach,
MultMed(19), No. 3, March 2017, pp. 530-543.
IEEE DOI 1702
Crowdsourcing BibRef

Mazumdar, S.[Suvodeep], Wrigley, S.[Stuart], Ciravegna, F.[Fabio],
Citizen Science and Crowdsourcing for Earth Observations: An Analysis of Stakeholder Opinions on the Present and Future,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Wei, B.[Bo], Xie, Q.Q.[Qing-Qing], Meng, Y.Y.[Yuan-Yuan], Zou, Y.[Yao],
Fuzzy GML Modeling Based on Vague Soft Sets,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
Geography Markup Language (GML) from OGC. BibRef

Grainger, A.[Alan],
Citizen Observatories and the New Earth Observation Science,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Hu, Z.H.[Zhi-Hua], Peng, J.W.[Jian-Wei], Hou, Y.L.[Yao-Lin], Shan, J.[Jie],
Evaluation of Recently Released Open Global Digital Elevation Models of Hubei, China,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Heikinheimo, V.[Vuokko], di Minin, E.[Enrico], Tenkanen, H.[Henrikki], Hausmann, A.[Anna], Erkkonen, J.[Joel], Toivonen, T.[Tuuli],
User-Generated Geographic Information for Visitor Monitoring in a National Park: A Comparison of Social Media Data and Visitor Survey,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Sosko, S.[Shay], Dalyot, S.[Sagi],
Crowdsourcing User-Generated Mobile Sensor Weather Data for Densifying Static Geosensor Networks,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Leibovici, D.G.[Didier G.], Rosser, J.F.[Julian F.], Hodges, C.[Crona], Evans, B.[Barry], Jackson, M.J.[Michael J.], Higgins, C.I.[Chris I.],
On Data Quality Assurance and Conflation Entanglement in Crowdsourcing for Environmental Studies,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Touya, G.[Guillaume], Antoniou, V.[Vyron], Olteanu-Raimond, A.M.[Ana-Maria], van Damme, M.D.[Marie-Dominique],
Assessing Crowdsourced POI Quality: Combining Methods Based on Reference Data, History, and Spatial Relations,
IJGI(6), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Ali, A.L.[Ahmed Loai], Falomir, Z.[Zoe], Schmid, F.[Falko], Freksa, C.[Christian],
Rule-guided human classification of Volunteered Geographic Information,
PandRS(127), No. 1, 2017, pp. 3-15.
Elsevier DOI 1704
Volunteered Geographic Information (VGI) BibRef

Fritz, S.[Steffen], Fonte, C.C.[Cidália Costa], See, L.[Linda],
The Role of Citizen Science in Earth Observation,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Guo, B., Liu, Y., Wu, W., Yu, Z., Han, Q.,
ActiveCrowd: A Framework for Optimized Multitask Allocation in Mobile Crowdsensing Systems,
HMS(47), No. 3, June 2017, pp. 392-403.
IEEE DOI 1706
Buildings, Genetic algorithms, Man-machine systems, Mobile communication, Publishing, Resource management, Sensors, Mobile crowd sensing (MCS), multiple tasks, platform, task allocation, ubiquitous computing BibRef

Xing, H.[Hanfa], Meng, Y.[Yuan], Hou, D.Y.[Dong-Yang], Song, J.[Jie], Xu, H.B.[Hai-Bin],
Employing Crowdsourced Geographic Information to Classify Land Cover with Spatial Clustering and Topic Model,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Yan, Y.W.[Ying-Wei], Feng, C.C.[Chen-Chieh], Chang, K.T.T.[Klarissa Ting-Ting],
Towards Enhancing Integrated Pest Management Based on Volunteered Geographic Information,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Asiama, K.[Kwabena], Bennett, R.[Rohan], Zevenbergen, J.[Jaap],
Participatory Land Administration on Customary Lands: A Practical VGI Experiment in Nanton, Ghana,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Iwaniak, A.[Adam], Leszczuk, M.[Marta], Strzelecki, M.[Marek], Harvey, F.[Francis], Kaczmarek, I.[Iwona],
A Novel Approach for Publishing Linked Open Geodata from National Registries with the Use of Semantically Annotated Context Dependent Web Pages,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Maruseac, M.[Mihai], Ghinita, G.[Gabriel], Trajcevski, G.[Goce], Scheuermann, P.[Peter],
Privacy-preserving detection of anomalous phenomena in crowdsourced environmental sensing using fine-grained weighted voting,
GeoInfo(21), No. 4, October 2017, pp. 733-762.
WWW Link. 1710
BibRef

Jossé, G.[Gregor], Schmid, K.A.[Klaus Arthur], Züfle, A.[Andreas], Skoumas, G.[Georgios], Schubert, M.[Matthias], Renz, M.[Matthias], Pfoser, D.[Dieter], Nascimento, M.A.[Mario A.],
Knowledge extraction from crowdsourced data for the enrichment of road networks,
GeoInfo(21), No. 4, October 2017, pp. 763-795.
Springer DOI 1710
BibRef

Mukheja, P.[Pankaj], Kiran, K.M.[K. Mukesh], Velaga, N.R.[Nagendra R.], Sharmila, R.B.,
Smartphone-based crowdsourcing for position estimation of public transport vehicles,
IET-ITS(11), No. 9, November 2017, pp. 588-595.
DOI Link 1710
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Chi, M., Sun, Z., Qin, Y., Shen, J., Benediktsson, J.A.,
A Novel Methodology to Label Urban Remote Sensing Images Based on Location-Based Social Media Photos,
PIEEE(105), No. 10, October 2017, pp. 1926-1936.
IEEE DOI 1710
crowdsourcing, data acquisition, deep learning, image photo interpretation, intelligent mobile devices, location-based social media data, location-based social media photos, multiple satellite system, BibRef

Qian, X., Lu, X., Han, J., Du, B., Li, X.,
On Combining Social Media and Spatial Technology for POI Cognition and Image Localization,
PIEEE(105), No. 10, October 2017, pp. 1937-1952.
IEEE DOI 1710
image recognition, social networking (online), POI cognition, social media, spatial technology, Feature extraction, Global Positioning System, Image color analysis, BibRef

Dell'Acqua, F., de Vecchi, D.,
Potentials of Active and Passive Geospatial Crowdsourcing in Complementing Sentinel Data and Supporting Copernicus Service Portfolio,
PIEEE(105), No. 10, October 2017, pp. 1913-1925.
IEEE DOI 1710
artificial satellites, crowdsourcing, data handling, geophysics computing, statistical analysis, Copernicus aegis, BibRef

Li, J., Benediktsson, J.A., Zhang, B., Yang, T., Plaza, A.,
Spatial Technology and Social Media in Remote Sensing: A Survey,
PIEEE(105), No. 10, October 2017, pp. 1855-1864.
IEEE DOI 1710
geographic information systems, remote sensing, social networking (online), decision making, geographic information systems, BibRef

Lisjak, J.[Josip], Schade, S.[Sven], Kotsev, A.[Alexander],
Closing Data Gaps with Citizen Science? Findings from the Danube Region,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link 1710
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Saeedi, S.[Sara], Liang, S.[Steve], Graham, D.[David], Lokuta, M.F.[Michael F.], Mostafavi, M.A.[Mir Abolfazl],
Overview of the OGC CDB Standard for 3D Synthetic Environment Modeling and Simulation,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link 1710
Open Geospatial Consortium, Common Data Base (though now just a name, not acronym). BibRef

Zhao, Y.Y.[Yuan-Yuan], Feng, D.[Duole], Yu, L.[Le], See, L.[Linda], Fritz, S.[Steffen], Perger, C.[Christoph], Gong, P.[Peng],
Assessing and Improving the Reliability of Volunteered Land Cover Reference Data,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Song, J.[Jia], Di, L.P.[Li-Ping],
Near-Real-Time OGC Catalogue Service for Geoscience Big Data,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
OGC: Open Geospatial Consortium BibRef

Reed, C.[Carl], Buehler, K.[Kurt], McKee, L.[Lance],
OGC Consensus: How Successful Standards Are Made,
IJGI(4), No. 3, 2015, pp. 1693.
DOI Link 1511
OGC: Open Geospatial Consortium BibRef

Wang, Y., Dai, W., Zhang, B., Ma, J., Vasilakos, A.V.,
Word of Mouth Mobile Crowdsourcing: Increasing Awareness of Physical, Cyber, and Social Interactions,
MultMedMag(24), No. 4, October 2017, pp. 26-37.
IEEE DOI 1712
Computer crime, Computer security, Crowdsourcing, Cyber-physical systems, Data analysis, Mobile communication, word of mouth (WoM) BibRef

Hameed, M.[Mustafa], Fairbairn, D.[David], Speak, S.[Suzanne],
Experiences with Citizen-Sourced VGI in Challenging Circumstances,
IJGI(6), No. 12, 2017, pp. xx-yy.
DOI Link 1801
BibRef

Benitez-Paez, F.[Fernando], Degbelo, A.[Auriol], Trilles, S.[Sergio], Huerta, J.[Joaquin],
Roadblocks Hindering the Reuse of Open Geodata in Colombia and Spain: A Data User's Perspective,
IJGI(7), No. 1, 2018, pp. xx-yy.
DOI Link 1801
BibRef

Appel, M.[Marius], Lahn, F.[Florian], Buytaert, W.[Wouter], Pebesma, E.[Edzer],
Open and scalable analytics of large Earth observation datasets: From scenes to multidimensional arrays using SciDB and GDAL,
PandRS(138), 2018, pp. 47-56.
Elsevier DOI 1804
Earth observation, Database systems, Scalable analytics, Open science, Big data, Spatial information science BibRef

Foody, G.[Giles], See, L.[Linda], Fritz, S.[Steffen], Moorthy, I.[Inian], Perger, C.[Christoph], Schill, C.[Christian], Boyd, D.[Doreen],
Increasing the Accuracy of Crowdsourced Information on Land Cover via a Voting Procedure Weighted by Information Inferred from the Contributed Data,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Juhász, L.[Levente], Hochmair, H.H.[Hartwig H.],
OSM Data Import as an Outreach Tool to Trigger Community Growth? A Case Study in Miami,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Hu, F.[Fei], Xu, M.C.[Meng-Chao], Yang, J.C.[Jing-Chao], Liang, Y.S.[Yan-Shou], Cui, K.[Kejin], Little, M.M.[Michael M.], Lynnes, C.S.[Christopher S.], Duffy, D.Q.[Daniel Q.], Yang, C.W.[Chao-Wei],
Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data,
IJGI(7), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Dérobert, X.[Xavier], Pajewski, L.[Lara],
TU1208 Open Database of Radargrams: The Dataset of the IFSTTAR Geophysical Test Site,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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Liu, A.[An], Wang, W.Q.[Wei-Qi], Shang, S.[Shuo], Li, Q.[Qing], Zhang, X.L.[Xiang-Liang],
Efficient task assignment in spatial crowdsourcing with worker and task privacy protection,
GeoInfo(22), No. 2, April 2018, pp. 335-362.
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Cheng, L.[Liang], Yuan, Y.[Yi], Xia, N.[Nan], Chen, S.[Song], Chen, Y.M.[Yan-Ming], Yang, K.[Kang], Ma, L.[Lei], Li, M.C.[Man-Chun],
Crowd-sourced pictures geo-localization method based on street view images and 3D reconstruction,
PandRS(141), 2018, pp. 72-85.
Elsevier DOI 1806
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Xing, H.F.[Han-Fa], Meng, Y.[Yuan], Wang, Z.X.[Zi-Xuan], Fan, K.X.[Kai-Xuan], Hou, D.Y.[Dong-Yang],
Exploring geo-tagged photos for land cover validation with deep learning,
PandRS(141), 2018, pp. 237-251.
Elsevier DOI 1806
Land cover, Accuracy assessment, Crowdsourced photos, Convolutional neural network, Sample classification BibRef

Osaba, E.[Eneko], Pierdicca, R.[Roberto], Malinverni, E.S.[Eva Savina], Khromova, A.[Anna], Álvarez, F.J.[Fernando J.], Bahillo, A.[Alfonso],
A Smartphone-Based System for Outdoor Data Gathering Using a Wireless Beacon Network and GPS Data: From Cyber Spaces to Senseable Spaces,
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DOI Link 1806
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Yang, Y.Y.[Yu-Yan], Cowen, L.L.E.[Laura L.E.], Costa, M.[Maycira],
Is Ocean Reflectance Acquired by Citizen Scientists Robust for Science Applications?,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Perdana, A.P.[Aji Putra], Ostermann, F.O.[Frank O.],
A Citizen Science Approach for Collecting Toponyms,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Koswatte, S.[Saman], McDougall, K.[Kevin], Liu, X.Y.[Xiao-Ye],
Relevance Assessment of Crowdsourced Data (CSD) Using Semantics and Geographic Information Retrieval (GIR) Techniques,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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Scholz, S.[Stefan], Knight, P.[Paul], Eckle, M.[Melanie], Marx, S.[Sabrina], Zipf, A.[Alexander],
Volunteered Geographic Information for Disaster Risk Reduction: The Missing Maps Approach and Its Potential within the Red Cross and Red Crescent Movement,
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DOI Link 1809
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Lee, K.[Kiwon], Kim, K.[Kwangseob],
A Performance Evaluation of a Geo-Spatial Image Processing Service Based on Open Source PaaS Cloud Computing Using Cloud Foundry on OpenStack,
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DOI Link 1809
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Vehicle-Based Bi-Objective Crowdsourcing,
ITS(19), No. 10, October 2018, pp. 3420-3428.
IEEE DOI 1810
Sensors, Crowdsourcing, Mobile communication, Recruitment, Trajectory, Mobile handsets, Mobile crowdsoucing, sensing coverage BibRef

Zhong, C.[Chen], Zeng, S.[Shi], Tu, W.[Wei], Yoshida, M.[Mitsuo],
Profiling the Spatial Structure of London: From Individual Tweets to Aggregated Functional Zones,
IJGI(7), No. 10, 2018, pp. xx-yy.
DOI Link 1811
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Rieke, M.[Matthes], Bigagli, L.[Lorenzo], Herle, S.[Stefan], Jirka, S.[Simon], Kotsev, A.[Alexander], Liebig, T.[Thomas], Malewski, C.[Christian], Paschke, T.[Thomas], Stasch, C.[Christoph],
Geospatial IoT: The Need for Event-Driven Architectures in Contemporary Spatial Data Infrastructures,
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Wang, H., Skau, E., Krim, H., Cervone, G.,
Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media,
GeoRS(56), No. 12, December 2018, pp. 6956-6968.
IEEE DOI 1812
Social network services, Estimation, Remote sensing, Noise measurement, Satellites, Entropy, Hazards, volunteering labels BibRef

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DOI Link 1812
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Application of Open-Source Software in Community Heritage Resources Management,
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Public Participation Using 3D Web-Based City Models: Opportunities for E-Participation in Kisumu, Kenya,
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Optimising Citizen-Driven Air Quality Monitoring Networks for Cities,
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Griffith, D.C.[David C.], Hay, G.J.[Geoffrey J.],
Integrating GEOBIA, Machine Learning, and Volunteered Geographic Information to Map Vegetation over Rooftops,
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Farmer Perception, Recollection, and Remote Sensing in Weather Index Insurance: An Ethiopia Case Study,
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Elsevier DOI 1901
Crowdsourcing, Planted forests, Open-source, Multi-sensor, Cloud computing, Tanzania BibRef

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A Real-Time and Open Geographic Information System and Its Application for Smart Rivers: A Case Study of the Yangtze River,
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Crowd-Driven and Automated Mapping of Field Boundaries in Highly Fragmented Agricultural Landscapes of Ethiopia with Very High Spatial Resolution Imagery,
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Deng, C.B.[Cheng-Bin], Dong, X.Y.[Xiao-Yu], Wang, H.H.[Hui-Hai], Lin, W.Y.[Wei-Ying], Wen, H.[Hao], Frazier, J.[John], Ho, H.C.[Hung Chak], Holmes, L.[Louisa],
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Zhu, L.[Ling], Gao, D.J.[De-Jun], Jia, T.[Tao], Zhang, J.Y.[Jing-Yi],
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Moghadas, M.[Mahsa], Rajabifard, A.[Abbas], Fekete, A.[Alexander], Kötter, T.[Theo],
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Santos, T.[Teresa], Mendes, R.N.[Ricardo Nogueira], Farías-Torbidoni, E.I.[Estela I.], Julião, R.P.[Rui Pedro], da Silva, C.P.[Carlos Pereira],
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Zhao, R.N.[Ruo-Nan], Yang, L.T.[Laurence T.], Liu, D.B.[De-Bin], Deng, X.J.[Xian-Jun], Mo, Y.J.[Yi-Jun],
A Tensor-Based Truthful Incentive Mechanism for Blockchain-Enabled Space-Air-Ground Integrated Vehicular Crowdsensing,
ITS(23), No. 3, March 2022, pp. 2853-2862.
IEEE DOI 2203
Blockchains, Crowdsensing, Task analysis, Tensors, Transportation, Space vehicles, Sensors, Space-air-ground integrated network, truthful incentive BibRef

Puttinaovarat, S.[Supattra], Horkaew, P.[Paramate],
A Geospatial Platform for Crowdsourcing Green Space Area Management Using GIS and Deep Learning Classification,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link 2204
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Jiao, Y.X.[Yu-Xin], Lin, Z.K.[Zhi-Kun], Yu, L.[Long], Wu, X.Z.[Xiao-Zhu],
A Fine-Grain Batching-Based Task Allocation Algorithm for Spatial Crowdsourcing,
IJGI(11), No. 3, 2022, pp. xx-yy.
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Yang, A.[Anni], Rodriguez, M.[Matthew], Yang, D.[Di], Yang, J.[Jue], Cheng, W.W.[Wen-Wen], Cai, C.J.[Chang-Jie], Qiu, H.[Han],
Leveraging Machine Learning and Geo-Tagged Citizen Science Data to Disentangle the Factors of Avian Mortality Events at the Species Level,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Ren, C.[Chang], Tang, L.[Luliang], Yang, X.[Xue], Long, J.[Jed],
Mapping Grade-Separated Junctions in Detail Using Crowdsourced Trajectory Data,
ITS(23), No. 6, June 2022, pp. 5552-5561.
IEEE DOI 2206
Trajectory, Junctions, Roads, Turning, Semantics, Geometry, Crowdsourced tracking data, grade-separated junction, semantic segmentation BibRef

Yang, T.F.[Teng-Fei], Xie, J.[Jibo], Song, P.L.[Pei-Lin], Li, G.Q.[Guo-Qing], Mou, N.X.[Nai-Xia], Gao, X.Y.[Xin-Yue], Zhao, J.[Jing],
Monitoring Ecological Conditions by Remote Sensing and Social Media Data: Sanya City (China) as Case Study,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
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Jaud, M.[Marion], Dantec, N.L.[Nicolas Le], Parker, K.[Kieran], Lemon, K.[Kirstin], Lendre, S.[Sylvain], Delacourt, C.[Christophe], Gomes, R.C.[Rui C.],
How to Include Crowd-Sourced Photogrammetry in a Geohazard Observatory: Case Study of the Giant's Causeway Coastal Cliffs,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
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Landa, M.[Martin], Brodský, L.[Lukáš], Halounová, L.[Lena], Boucek, T.[Tomáš], Pešek, O.[Ondrej],
Open Geospatial System for LUCAS In Situ Data Harmonization and Distribution,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link 2208
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Pizzolotto, R.[Roberto],
Tracing the Scientific Trajectory of Volunteered Cartography: The Case of OpenStreetMap,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link 2208
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Liu, X.J.[Xue-Jiao], Chen, W.[Wei], Xia, Y.J.[Ying-Jie], Shen, R.[Renhao],
TRAMS: A Secure Vehicular Crowdsensing Scheme Based on Multi-Authority Attribute-Based Signature,
ITS(23), No. 8, August 2022, pp. 12790-12800.
IEEE DOI 2208
Crowdsensing, Sensors, Privacy, Authentication, Task analysis, Message authentication, Servers, Vehicular crowdsensing, multi-authority BibRef

Hamamurad, Q.H.[Qasim Hamakhurshid], Jusoh, N.M.[Normal Mat], Ujang, U.[Uznir],
Factors That Affect Spatial Data Sharing in Malaysia,
IJGI(11), No. 8, 2022, pp. xx-yy.
DOI Link 2209
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Fosci, P.[Paolo], Psaila, G.[Giuseppe],
Soft Integration of Geo-Tagged Data Sets in J-CO-QL+,
IJGI(11), No. 9, 2022, pp. xx-yy.
DOI Link 2209
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Muñoz-Gil, G.[Gorka], Dauphin, A.[Alexandre], Beduini, F.A.[Federica A.], Sánchez de Miguel, A.[Alejandro],
Citizen Science to Assess Light Pollution with Mobile Phones,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Walker, V.[Violet], Vanegas, F.[Fernando], Gonzalez, F.[Felipe],
NanoMap: A GPU-Accelerated OpenVDB-Based Mapping and Simulation Package for Robotic Agents,
RS(14), No. 21, 2022, pp. xx-yy.
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Wu, A.N.[Abraham Noah], Biljecki, F.[Filip],
InstantCITY: Synthesising morphologically accurate geospatial data for urban form analysis, transfer, and quality control,
PandRS(195), 2023, pp. 90-104.
Elsevier DOI 2301
Deep learning, Machine learning, Volunteered Geographic Information, GIScience, GeoAI BibRef

Schacher, A.[Alice], Roger, E.[Erin], Williams, K.J.[Kristen J.], Stenson, M.P.[Matthew P.], Sparrow, B.[Ben], Lacey, J.[Justine],
Use-Specific Considerations for Optimising Data Quality Trade-Offs in Citizen Science: Recommendations from a Targeted Literature Review to Improve the Usability and Utility for the Calibration and Validation of Remotely Sensed Products,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Zheng, X.R.[Xin-Rui], Amemiya, M.[Mamoru],
Method for Applying Crowdsourced Street-Level Imagery Data to Evaluate Street-Level Greenness,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link 2303
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Liu, L.[Lin], Li, H.[Hang], Pei, D.M.[Dong-Mei], Liu, S.[Shuai],
Verification of Geographic Laws Hidden in Textual Space and Analysis of Spatial Interaction Patterns of Information Flow,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
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Kevic, K.[Karlo], Divjak, A.K.[Ana Kuveždic], Donker, F.W.[Frederika Welle],
Benchmarking Geospatial High-Value Data Openness Using GODI Plus Methodology: A Regional Level Case Study,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
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Vazquez, S.A.[Sergio Alvarado], Madureira, A.M.[Ana Mafalda], Ostermann, F.O.[Frank O.], Pfeffer, K.[Karin],
The Use of ICTs to Support Social Participation in the Planning, Design and Maintenance of Public Spaces in Latin America,
IJGI(12), No. 6, 2023, pp. xx-yy.
DOI Link 2307
information and communication technologies. BibRef

Li, H.[Huiru], Jiang, L.X.[Liang-Xiao], Li, C.[Chaoqun],
Certainty weighted voting-based noise correction for crowdsourcing,
PR(150), 2024, pp. 110325.
Elsevier DOI 2403
Crowdsourcing, Noise correction, Certainty, Class-dependent, Instance-dependent, Weighted voting BibRef

Guo, Y.[Yuan], Zhou, J.[Jian], Li, X.C.[Xi-Cheng], Tang, Y.C.[You-Chen], Lv, Z.C.[Zhi-Cheng],
A Review of Crowdsourcing Update Methods for High-Definition Maps,
IJGI(13), No. 3, 2024, pp. 104.
DOI Link 2404
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Zhao, R.N.[Ruo-Nan], Yang, L.T.[Laurence T.], Liu, D.B.[De-Bin], Deng, X.J.[Xian-Jun], Tang, X.M.[Xue-Ming], Garg, S.[Sahil],
Tensor-Based Secure Truthful Incentive Mechanism for Mobile Crowdsourcing in IoT-Enabled Maritime Transportation Systems,
ITS(25), No. 5, May 2024, pp. 3341-3351.
IEEE DOI 2405
Crowdsourcing, Task analysis, Big Data, Tensors, Security, Stakeholders, Transportation, truthful incentive BibRef

Alamri, S.[Sultan],
The Geospatial Crowd: Emerging Trends and Challenges in Crowdsourced Spatial Analytics,
IJGI(13), No. 6, 2024, pp. 168.
DOI Link 2406
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Lilja, A.[Adam], Fu, J.S.[Jun-Sheng], Stenborg, E.[Erik], Hammarstrand, L.[Lars],
Localization is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix it,
CVPR24(22150-22159)
IEEE DOI Code:
WWW Link. 2410
Training, Location awareness, Laser radar, Supervised learning, Area measurement, Training data, Online mapping, Data Leakage BibRef

Ortega, T.[Trevor], Nelson, T.[Thomas], Crane, S.[Skyler], Myers-Dean, J.[Josh], Wehrwein, S.[Scott],
Computer Vision for International Border Legibility,
WACV23(3827-3836)
IEEE DOI 2302
Geography, Crowdsourcing, Annotations, Computational modeling, Estimation, Manuals, Applications: Remote Sensing BibRef