The DOI matches its Crossref record; 175 of the 176 references it cites were found in a registry or an index.
Geospatial big data handling theory and methods: A review and research challenges
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“ML is key to preprocessing large amounts of data in large sensor networks, allowing only what is relevant to be transmitted, instead of all the raw data that is being collected [480,672,804].”
From Tackling climate change with machine learning (2023) · cites this paper as [480]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Fractal Geometry of Nature
Mandelbrot, B. B., & WHEELER, J. A. (1983) · American Journal of Physics · doi:10.1119/1.13295 · Cited by 21,964
Mining association rules between sets of items in large databases
Agrawal, R., Imieliński, T., & Swami, A. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data · doi:10.1145/170035.170072 · Cited by 14,907
Chandola, V., Banerjee, A., & Kumar, V. (2009) · ACM Computing Surveys · doi:10.1145/1541880.1541882 · Cited by 11,687
Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?
Buhrmester, M., Kwang, T., & Gosling, S. D. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691610393980 · Cited by 9,996
(2011) · Cited by 5,203
Random forests for classification in ecology
Cutler, D. R., Edwards, T. C., Beard, K. H., Cutler, A., Hess, K. T., Gibson, J., & Lawler, J. J. (2007) · Ecology · doi:10.1890/07-0539.1 · Cited by 4,950
Citizens as sensors: the world of volunteered geography
Goodchild, M. F. (2007) · GeoJournal · doi:10.1007/s10708-007-9111-y · Cited by 4,611
Big data: a revolution that will transform how we live, work, and think
(2013) · Choice Reviews Online · doi:10.5860/choice.50-6804 · Cited by 3,657
Chen, M., Mao, S., & Liu, Y. (2014) · Mobile Networks and Applications · doi:10.1007/s11036-013-0489-0 · Cited by 2,913
Bak, P. (1996) · Springer eBooks · doi:10.1007/978-1-4757-5426-1 · Cited by 2,830
Flagged first, then by citations
1 of the 176 references couldn’t be matched to a known paper.
Research works printed but not linked: 10
- Ackermann, F., 1994. Digital Elevation Models – Techniques and Applications, Quality Standards, Development. IAPRS, 30/4(Commission IV), pp. 421–432.
- Dasgupta, 2013, Big data: the future is in analytics, Geospatial World
- Dittrich, A., Lucas, C., 2013. A step towards real-time detection and localization of disaster events based on tweets. In: Proceedings of the 10th International Conference on Information Systems for Crisis Response and Management, pp. 868–872.
- Kandwal, 2010, Geospatial analysis of HIV-related social stigma: a study of tested females across Indian mandals, Int. J. Health Geogr., 9
- Mechveliani, S.D., 2001. Computer algebra with Haskell: applying functional-categorial-‘lazy’ programming. In: Proceedings of International Workshop CAAP-2001 (Dubna, Russia), pp. 203–211; <http://ca-d.jinr.ru/confs/CAAP/Final/proceedings/proceed.ps>.
- Milewski, 2009, Lock options, DR DOBBS J., 34, 28
- Pettit, C., Stimson, R., Nino-Ruiz, M., Moradini, L., Widjaja, I., Delaney, P., et al., 2014. Supporting Urban Informatics through a Big Data Analytics Online Workbench. NSF Workshop on Big Data and Urban Informatics.
- Rajasekar, 2006, Image mining for modeling of forest fires from Meteosat images, IEEE Trans. Geosci. Remote Sensing, 45, 246
- Ujang, 2014, 3D hilbert space filling curves in 3D city modeling for faster spatial queries, Int. J. 3-D Inform. Model. (IJ3DIM), 3
- Wang, 2013, On spatial data mining under big data, J. China Acad. Electron. Inform. Technol., 8, 8
Cited by
Sorted by citations
Items 501–600 of 744
Private, Public, Personal: Shifting Patterns in Geospatial Data Sources in Geographic Research
Appiah, G., Kaufman, M., Cooney, B., & Andris, C. (2024) · Annals of the American Association of Geographers · doi:10.1080/24694452.2024.2394078 · Cited by 3
Big Data (R)evolution in Geography: Complexity Modelling in the Last Two Decades
Pérez, L., & Sengupta, R. (2024) · Geography Compass · doi:10.1111/gec3.70009 · Cited by 3
Barrena-Herrán, M., Modrego-Monforte, I., & Grijalba, O. (2025) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi14060221 · Cited by 3
Lin, Y., Han, H., & Pettit, C. J. (2025) · Urban Climate · doi:10.1016/j.uclim.2025.102413 · Cited by 3
Self-citationPaX-DBSCAN: a proposed algorithm for improved clustering
Samson, G. L., & Lu, J. (2016) · University of Huddersfield Repository (University of Huddersfield) · Cited by 3
Emphasising spatial structure in geosocial media data using spatial amplifier filtering
Westerholt, R. (2021) · Environment and Planning B Urban Analytics and City Science · doi:10.1177/2399808320987235 · Cited by 3
Cerreta, M., Liccardi, L., & Reitano, M. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-86979-3_22 · Cited by 3
COMPARISON OF URBAN HUMAN MOVEMENTS INFERRING FROM MULTI-SOURCE SPATIAL-TEMPORAL DATA
Cao, R., Tu, W., Cao, J., & Li, Q. (2016) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprsarchives-xli-b2-471-2016 · Cited by 3
A review of cyberinfrastructure for machine learning and big data in the geosciences
Sun, Z., Cristea, N. C., Tong, D., Tullis, J. A., Chester, Z., & Magill, A. B. (2022) · Geological Society of America eBooks · doi:10.1130/2022.2558(11 · Cited by 3
Multi-Dimension Geospatial Feature Learning for Urban Region Function Recognition
Xu, W., Wang, J., & Wu, Y. (2022) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss46834.2022.9884450 · Cited by 3
Ma, S., & Zhang, S. (2023) · Frontiers in Earth Science · doi:10.3389/feart.2023.1234732 · Cited by 3
RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery
Lülf, C., Martins, D. M. L., Salles, M. A. V., Zhou, Y., & Gieseke, F. C. (2023) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/3589132.3625601 · Cited by 3
An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics
Rodríguez-Pupo, L. E., Granell, C., & Casteleyn, S. (2019) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi8020054 · Cited by 3
Quasiconformal rectilinear map
Yang, Y.-J., & Zeng, W. (2019) · Graphical Models · doi:10.1016/j.gmod.2019.101057 · Cited by 3
Badarneh, H. J., Ravana, S. D., & Alsahag, A. M. M. (2020) · International Journal of Network Management · doi:10.1002/nem.2097 · Cited by 3
Haces-Fernandez, F., Li, H., & Ramirez, D. (2022) · Sustainability · doi:10.3390/su14084687 · Cited by 3
Geospatial Big Data for a Sustainable and Green Smart City
Gacha, Y., Rhaiem, M. A. B., & Abdellatif, T. (2023) · International Conference on Cyberworlds (CW) · doi:10.1109/cw58918.2023.00039 · Cited by 3
Intrinsic parameterization and registration of graph constrained surfaces
Yang, Y.-J., Razib, M., & Zeng, W. (2018) · Graphical Models · doi:10.1016/j.gmod.2018.03.002 · Cited by 3
Using provenance to disambiguate locational references in social network posts
Hervey, T., & Kühn, W. (2018) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2018.1459627 · Cited by 3
Zhu, W., Ma, D., Zhao, Z., & Guo, R. (2020) · Sustainability · doi:10.3390/su12229778 · Cited by 3
Çavur, M., & Düzgün, Ş. (2016) · Journal of Spatial Science · doi:10.1080/14498596.2016.1230837 · Cited by 3
Gutierres, F. R. S., Torrente, A., & Torrent‐Moreno, M. (2019) · ACE Arquitectura Ciudad y Entorno · doi:10.5821/ace.14.40.5349 · Cited by 3
SCIDB BASED FRAMEWORK FOR STORAGE AND ANALYSIS OF REMOTE SENSING BIG DATA
Joshi, A., Pebesma, E. J., Henriques, R., & Appel, M. (2019) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xlii-5-w3-43-2019 · Cited by 3
A Survey of Bayesian Statistical Approaches for Big Data
Jahan, F., Ullah, I., & Mengersen, K. L. (2020) · Lecture notes in mathematics · doi:10.1007/978-3-030-42553-1_2 · Cited by 3
Tracking via Geotagged Social Media Data
Hardy, A. (2020) · Goodfellow Publishers Ltd eBooks · doi:10.23912/9781911635383-4575 · Cited by 3
Crowdsourcing and Human‐in‐the‐Loop for IoT
Ibáñez, L., Reeves, N., & Simperl, E. P. B. (2020) · The Internet of Things · doi:10.1002/9781119545293.ch8 · Cited by 3
Analytics of big geosocial media and crowdsourced data
Li, S., Wachowicz, M., & Fan, H. (2021) · Big Earth Data · doi:10.1080/20964471.2021.1898780 · Cited by 3
Self-citationCan Air Quality Citizen-Sensors Turn into Clean Air Ambassadors? Insights from a Qualitative Study
Dardier, G., Jabot, F., & Pouliquen, F. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph181910046 · Cited by 2
Pereira, A. G., Porwol, L., & Ojo, A. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.610 · Cited by 2
Liang, P., Cui, X., Ma, J., Song, W., & Xu, Y. (2025) · Land · doi:10.3390/land14061262 · Cited by 2
Hou, Q., Hou, C., Zhang, F., & Weng, Q. (2025) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2025.09.024 · Cited by 2
A humble proposal for GeoAI: Epistemology, methodology, and relevance in curb ramp classification
Deitz, S. L. (2025) · Canadian Geographies / Géographies canadiennes · doi:10.1111/cag.70043 · Cited by 2
Tian, J., Li, P., Ma, M., & Chen, H. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3662515 · Cited by 2
Saraya, H. M., Saleh, A. A., & Rezk, A. (2026) · GeoJournal · doi:10.1007/s10708-026-11569-9 · Cited by 3
Advancing land use mix through complementarity: the Parcel Complementarity Model (PCM)
Drici, H., & Carpio‐Pinedo, J. (2026) · Computational Urban Science · doi:10.1007/s43762-026-00256-7 · Cited by 2
Luo, Z., Chen, F., Marchi, L., & Gaspari, J. (2026) · Sustainable Cities and Society · doi:10.1016/j.scs.2026.107532 · Cited by 2
Wambugu, N. M., Wang, R., Shi, T., Chan, T. N., Fei, J., Zhang, Y., Zhou, J., Jia, Z., & Guo, B. (2026) · ISPRS Open Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.ophoto.2026.100128 · Cited by 2
Geo-DMP: A DTN-Based Mobile Prototype for Geospatial Data Retrieval
Li, C., Lu, H., Xiang, Y., & Gao, R. H. (2019) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi9010008 · Cited by 2
The Fourth Paradigm in Geographical Sciences
Kundu, S. (2022) · Advances in geographical and environmental sciences · doi:10.1007/978-981-16-7310-8_25 · Cited by 2
Linking geo-models for geomorphological classification using knowledge graphs
Qi, Y., Zhu, Y., Wang, S., Zhong, Y., Marsh, S., Farjudian, A., & Du, H. (2025) · Computers & Geosciences · doi:10.1016/j.cageo.2025.105873 · Cited by 2
Geospatial evaluation of urban marginal lands for the forestry development in Northern India
Edrisi, S. A., Verma, V., & Kumar, D. (2025) · Environment Development and Sustainability · doi:10.1007/s10668-025-06787-z · Cited by 2
Xu, J., Kii, M., Okano, Y., & Chou, C.-C. (2025) · Remote Sensing · doi:10.3390/rs17183251 · Cited by 3
Bakogiannis, E., Siti, M., Kyriakidis, C., Christodoulopoulou, G., & Vassi, A. (2018) · Progress in IS · doi:10.1007/978-3-319-99444-4_10 · Cited by 2
Breunig, M., Kuper, P. V., Reitze, F., Landgraf, S., Al-Doori, M., Stefanakis, E., Abdulmuttalib, H. M., & Kugler, Z. (2023) · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-annals-x-1-w1-2023-41-2023 · Cited by 3
Exploring the Potential of Geospatial Data: An In-Depth Investigation
Mahjoobi, E., & Rafiei, F. (2024) · IntechOpen eBooks · doi:10.5772/intechopen.1006999 · Cited by 2
Compliance with Environmental Regulations through Complex Geo-Event Processing
Herrera, F., González, L., Calegari, D., & Rienzi, B. (2017) · CLEI electronic journal · doi:10.19153/cleiej.20.2.2 · Cited by 2
Towards Big GeoData Mining and Processing
Boulaaba, A., & Faïz, S. (2018) · International Journal of Organizational and Collective Intelligence · doi:10.4018/ijoci.2018040104 · Cited by 2
CS Projects Involving Geoinformatics: A Survey of Implementation Approaches
Criscuolo, L., Bordogna, G., Carrara, P., & Pepe, M. (2018) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi7080312 · Cited by 2
On Minimum Spanning Tree Streaming for Image Analysis
Gigli, L., Velasco-Forero, S., & Marcotegui, B. (2018) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2018.8451715 · Cited by 2
R-Tree Node-Splitting Algorithm Using Combined Quality Factors and Weights
Al-Nsour, E., Sleit, A., & Alshraideh, M. (2017) · International Conference on Computational Science and Computational Intelligence (CSCI) · doi:10.1109/csci.2017.251 · Cited by 2
Data and Information Quality in Remote Sensing
Puentes, J., Lecornu, L., & Solaiman, B. (2019) · Information fusion and data science · doi:10.1007/978-3-030-03643-0_17 · Cited by 2
Cheng, T., Haworth, J., Anbaroğlu, B., Tanaksaranond, G., & Wang, J. (2019) · Springer eBooks · doi:10.1007/978-3-642-36203-3_68-1 · Cited by 2
Self-citationWu, X., Liu, Y., & Chen, C. (2019) · Earth Science Informatics · doi:10.1007/s12145-019-00401-3 · Cited by 2
Neue Geschäftsmodelle für Karten und Geoinformation
Ladstätter, P. (2016) · KN - Journal of Cartography and Geographic Information · doi:10.1007/bf03545208 · Cited by 2
APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA
Li, H., Huang, W., Zha, Z., & Yang, J. (2021) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xliii-b4-2021-293-2021 · Cited by 2
Customised display of large mineralogical (XRD) data: Geological advantages and applications
Coimbra, R., Kemna, K. B., Rocha, F. T., & Horikx, M. (2022) · The Depositional Record · doi:10.1002/dep2.174 · Cited by 2
Chiang, P., & Pan, S.-Y. (2017) · Springer eBooks · doi:10.1007/978-981-10-3268-4_9 · Cited by 2
RESEARCH ON EFFICIENT INDEXING OF LARGE-SCALE GEOSPATIAL DATA BASED ON MULTI-LEVEL GEOGRAPHIC GRID
Gao, Y., Duo, H., Che, J., Zhao, S., & Zhao, B. (2023) · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-annals-x-1-w1-2023-73-2023 · Cited by 2
Shaker, A., Easa, S. M., & Yan, W. Y. (2017) · Journal of Imaging · doi:10.3390/jimaging3030032 · Cited by 2
Mayorga, S. L. M., & Molina, J. M. J. (2017) · GeoFocus Revista Internacional de Ciencia y Tecnología de la Información Geográfica · doi:10.21138/gf.572 · Cited by 2
Brazilian frontier governance: survey of infrastructure based on remote sensing techniques
Cravo, S. C., Janzantti, P. H. F., & Nabarrete, A. (2018) · SPIE Conference on Remote Sensing for Environmental Monitoring, GIS Applications, and Geology · doi:10.1117/12.2323387 · Cited by 2
Information mining for automatic search in remote sensing image catalogs
Pletsch, M. A. J. S., & Körting, T. S. (2018) · Revista Brasileira de Cartografia · doi:10.14393/rbcv70n5-45180 · Cited by 2
Gallego, C. Z. (2019) · Boletín de la Asociación de Geógrafos Españoles · doi:10.21138/bage.2773 · Cited by 2
Jozefowicz, S., Stone, M., & Aravopoulou, E. (2019) · The Bottom Line Managing Library Finances · doi:10.1108/bl-09-2019-0115 · Cited by 2
Czy więcej znaczy lepiej? Badania ilościowe w geografii społeczno-ekonomicznej ery Big Data
Rzeszewski, M., & Rodak, O. (2019) · Rozwój Regionalny i Polityka Regionalna · doi:10.14746/rrpr.2019.46.05 · Cited by 2
Use of fractals to measure anisotropy in point patterns extracted with the DPT of an image
Fabris‐Rotelli, I., & Stein, A. (2020) · Spatial Statistics · doi:10.1016/j.spasta.2020.100452 · Cited by 2
Self-citationObtaining Height Information Using a 2-D Top View UAV Image with the Help of Spherical Astronomy
Selim, S., Kalaycı, M., & Kılçık, A. (2020) · Journal of the Indian Society of Remote Sensing · doi:10.1007/s12524-020-01139-y · Cited by 2
A geographic meta-database of caves and underground structures in Turkey
Erbaş, M. (2020) · Environmental Earth Sciences · doi:10.1007/s12665-020-09135-8 · Cited by 2
Semnani, N. M., Breunig, M., Al-Doori, M., Heck, A., Kuper, P. V., & Kutterer, H. (2020) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xliii-b4-2020-485-2020 · Cited by 2
Crowdsourcing for georeferencing Napoleonic cadastre over a wide area
Michelin, Y., & Chadeyron, J. (2020) · doi:10.1145/3423337.3429436 · Cited by 2
Geo-L: Topological Link Discovery for Geospatial Linked Data Made Easy
Zinke-Wehlmann, C., & Kirschenbaum, A. (2021) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi10100712 · Cited by 2
Extremely Fast “Solution” to the Large-Scale and Very Large-Scale Vehicle Routing Problem
Riechel, J. (2021) · International Journal of Transportation Engineering and Technology · doi:10.11648/j.ijtet.20210704.12 · Cited by 2
Smart Disaster Risk Reduction and Emergency Management in the Built Environment
Romão, X., & Перейра, Ф. Л. (2021) · Structural integrity · doi:10.1007/978-3-030-82430-3_14 · Cited by 2
Main Government-Related Data Extraction Techniques
González-Padilla, P., López, A. F., & Lacárcel, F. J. S. (2022) · Advances in electronic government, digital divide, and regional development book series · doi:10.4018/978-1-7998-9609-8.ch009 · Cited by 2
Structural Surface Mapping for Shape Analysis
Razib, M. (2017) · doi:10.25148/etd.fidc004045 · Cited by 2
TraceME (v1.0) – An online Traceability analysis system for Model Evaluation on land carbon dynamicsPreprint
Zhou, J., Xia, J., Wei, N., Liu, Y., Bian, C., Bai, Y., & Luo, Y. (2020) · doi:10.5194/gmd-2020-76 · Cited by 2
Predicting the severity of civil wars: An actor-centric approachPreprint
Metternich, N. W., Ciflikli, G., Ali, A., Weber, S., Rickard, K., & Lomax, G. (2019) · doi:10.31235/osf.io/92y58 · Cited by 4
Phithakkitnukoon, S., Patanukhom, K., & Demissie, M. G. (2023) · Research Square · doi:10.21203/rs.3.rs-4649879/v1 · Cited by 2
Text mining geo-visualization of patent documents on geo-spatial big-data industry
Choi, W., Ahn, J.-W., & Shin, D. (2018) · Spatial Information Research · doi:10.1007/s41324-018-0201-3 · Cited by 1
An Event-Driven Multi Agent System for Scalable Traffic Optimization
Horn, G., Przeźdiȩk, T., Büscher, M., Venticinque, S., Aversa, R., Martino, B. D., Espósito, A., Skrzypek, P., & Leznik, M. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-44038-1_125 · Cited by 1
A Web‐Based Architecture to Operationalize Geospatial Simulation Environments
Wainer, G., & St‐Aubin, B. (2024) · Advanced Theory and Simulations · doi:10.1002/adts.202400144 · Cited by 1
Geospatial Science for Urban Ecosystems: Insights from India and Beyond
Joshi, P. K., Mahato, S., & Shkaruba, A. (2026) · The urban book series · doi:10.1007/978-3-032-07155-2_1 · Cited by 1
He, S., Wu, M., Kong, L., Yin, X., Yang, W., Huang, Z., Ye, J., Li, S., Han, B., Xue, M., et al. (2026) · Biological Invasions · doi:10.1007/s10530-026-03769-8 · Cited by 1
Self-citationPrudhomme, C., Würriehausen, F., Schaffert, M., Müller, H., & Ponciano, J.-J. (2026) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi15050197 · Cited by 1
GIS Applications in Industrial Engineering: A Comprehensive Bibliometric Review
Vergara, D., García-Sardón, E., Díaz-Dumont, J. R., Fernández‐Arias, P., & del Bosque, A. (2026) · Applied Sciences · doi:10.3390/app16147166 · Cited by 1
Neamah, A. F., Ibrahim, H. K., Darwish, S. M., & Hassen, O. A. (2022) · Symmetry · doi:10.3390/sym14122637 · Cited by 1
Theodoropoulos, G. K., Kennedy, C., Lee, P., Skelcher, C., Ferrari, E., & Sorge, V. (2023) · Springer eBooks · doi:10.1007/978-3-031-27986-7_29 · Cited by 1
TGAIN: Geospatial Data Recovery Algorithm Based on GAIN-LSTM
Yang, L., Li, L., & Ma, S. (2024) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2024.056379 · Cited by 1
Fernández, J. V., & Quetglas-Llull, L. (2025) · Social Indicators Research · doi:10.1007/s11205-025-03580-3 · Cited by 1
Use of Geospatial Technology and Modeling to Assess and Predict Climate Change Impacts
Yasin, E. H. E., Czimber, K., Gadallah, N. A. H., Mohammed, S. M. F., & Yagoub, Y. E. (2025) · Advances in global change research · doi:10.1007/978-3-031-85359-3_6 · Cited by 1
Cheng, T., Chen, H., Zhang, X., Gao, X., Yin, L., & Jiao, J. (2025) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi14080286 · Cited by 1
Self-citationQi, Y., Zhu, Y., Wang, S., Ping, F., Gao, Z., Marsh, S., & Farjudian, A. (2025) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2025.104779 · Cited by 1
Urban region representation learning via dual spatial contrasts
Qin, Q., Tinghua Ai, A., Huang, W., Xu, S., Du, M., & Li, S. (2025) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2025.2585320 · Cited by 1
Self-citationSatNet-B3: A Lightweight Deep Edge Intelligence Framework for Satellite Imagery Classification
Hasan, T., Anjom, J., Hossain, M. I. A., & Shamszaman, Z. U. (2025) · Future Internet · doi:10.3390/fi17120579 · Cited by 1
UniTopRank : a scalable and language-independent method for toponym resolution
Hu, X., Sun, Y., Hecking, T., Kersten, J., & Klan, F. (2026) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2026.2645831 · Cited by 1
Albuquerque, H. C. D. C., Marques, J., & Quintela, J. A. (2026) · Geographies · doi:10.3390/geographies6020050 · Cited by 1
Kuunya, R., Mohammed, E. A. H., Osman, M. M. A., Ssemugenze, B., Tamás, A., & Ragán, P. (2026) · Journal of the Indian Society of Remote Sensing · doi:10.1007/s12524-026-02475-1 · Cited by 1
HiSpot: an integrated and accessible python framework for spatial optimization in Urban Analytics
Wang, S., Su, C., Zhao, Z., Liang, H., Wang, Z., Sun, Y., Zhong, Y., Zheng, J., Huang, Z., & Zhou, J. (2026) · International Journal of Digital Earth · doi:10.1080/17538947.2026.2687273 · Cited by 1
Towards a Real-Time Big GeoData Geolocation System Based on Visual and Textual Features
Hasni, S., & Faïz, S. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-45246-3_39 · Cited by 1
A WTLS-based rational function model for orthorectification of remote-sensing imagery
Ge, Y., Wei, Y., Song, Y., Wu, T., Stein, A., Guo, X., Zhou, C., & Ma, J. (2017) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1372860 · Cited by 1
Self-citation
Metadata
- Authors
- Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B., Haworth, J., Stein, A., & Cheng, T.
- Affiliations
- Toronto Metropolitan University (CA)
- Technical University of Denmark (DK)
- Leibniz University Hannover (DE)
- The University of Melbourne (AU)
- UNSW Sydney (AU)
- University of Gävle (SE)
- University College London (GB)
- University of Twente (NL)
- Corresponding author
- Li, Songnian
- ORCID
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2016-05
- Volume
- 115
- Pages
- 119-133
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2344199778
- Cited by
- 749
- References
- 176
- Citations by year
- 2026: 42 · 2025: 59 · 2024: 49 · 2023: 52 · 2022: 55 · 2021: 87 · 2020: 102 · 2019: 100 · 2018: 89 · 2017: 79 · 2016: 35
- FWCI
- 354.25
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- ISPRS Journal of Photogrammetry and Remote Sensing (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- University of Twente Research Information (submittedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- University of Twente Research Information (submittedVersion)
- arXiv (Cornell University)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- NSERC
- Topics
- Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Physical Sciences › Engineering › Building and Construction › 3D Modeling in Geospatial Applications
- Keywords
- geospatial big data, spatial data management, geospatial data storage, geoprocessing, geospatial data visualization, data quality checks, research challenges
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review