Articles | Volume 11, issue 1
https://doi.org/10.5194/gi-11-195-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-11-195-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data
Roberto Pierdicca
Department of Civil and Building Engineering and Architecture, Università Politecnica delle Marche, Ancona, Italy
Invited contribution by Roberto Pierdicca, recipient of the EGU Geosciences Instrumentation and Data Systems Division Outstanding Early Career Scientists Award 2021.
Marina Paolanti
CORRESPONDING AUTHOR
Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy
Department of Political Sciences, Communication and International Relations, University of Macerata, Macerata, Italy
Viewed
Total article views: 12,627 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 9,740 | 2,738 | 149 | 12,627 | 165 | 179 |
- HTML: 9,740
- PDF: 2,738
- XML: 149
- Total: 12,627
- BibTeX: 165
- EndNote: 179
Total article views: 10,820 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Jun 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 8,809 | 1,902 | 109 | 10,820 | 145 | 156 |
- HTML: 8,809
- PDF: 1,902
- XML: 109
- Total: 10,820
- BibTeX: 145
- EndNote: 156
Total article views: 1,807 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 931 | 836 | 40 | 1,807 | 20 | 23 |
- HTML: 931
- PDF: 836
- XML: 40
- Total: 1,807
- BibTeX: 20
- EndNote: 23
Viewed (geographical distribution)
Total article views: 12,627 (including HTML, PDF, and XML)
Thereof 12,233 with geography defined
and 394 with unknown origin.
Total article views: 10,820 (including HTML, PDF, and XML)
Thereof 10,513 with geography defined
and 307 with unknown origin.
Total article views: 1,807 (including HTML, PDF, and XML)
Thereof 1,720 with geography defined
and 87 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
22 citations as recorded by crossref.
- Identification of AI-Generated Rock Thin-Section Images by Feature Analysis Under Data Scarcity M. Habrat & M. Dwornik
- Uncertainty quantification in geospatial AI/ML applications: methods, metrics, and open-source support with an air quality use case A. Malarvizhi et al.
- GeoAI—The Evolution from Geospatial Information to Geospatiotemporal Intelligence W. Yan
- GeoAI in Topographic Mapping: Navigating the Future of Opportunities and Risks B. Kausika & V. van Altena
- A 3D GeoHash-Based Geocoding Algorithm for Urban Three-Dimensional Objects W. Choi et al.
- Applications of geomatics in multidisciplinary knowledge fields. A review for decision-makers P. Escandón-Panchana et al.
- From WebGIS to a Digital Twin for Sustainable Water Governance and Climate-Resilient River Basin District Planning: The AUBAC Case in Central Italy M. Casini
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review S. Wang et al.
- Fuzzy time series clustering using autoencoders neural network C. Ibebuchi
- Trends and Prospects of Satellite Remote Sensing in GeoAI Y. KOBAYASHI et al.
- A case study: Making decisions for sustainable university campus planning using GeoAI E. Kumaş & D. Aslan
- Student chatbot use and perceptions in a course assignment: Comparing two geomatics courses H. Hochmair
- When Machine Learning Meets Geospatial Data: A Comprehensive GeoAI Review A. Boutayeb et al.
- Integrating Emerging Technologies with Digital Twins for Heritage Building Conservation: An Interdisciplinary Approach with Expert Insights and Bibliometric Analysis S. Mazzetto
- Advancing Urban Analytics: GeoAI Applications in Spatial Decision-Making and Sustainable Cities S. Avram
- Comprehensive evaluation of land-use carbon emissions integrating social network analysis and a zone-based machine learning approach H. Fan et al.
- Knowledge Enhanced Neural Networks for Point Cloud Semantic Segmentation E. Grilli et al.
- Ethical Framework to Assess and Quantify the Trustworthiness of Artificial Intelligence Techniques: Application Case in Remote Sensing M. Paolanti et al.
- GeoAI-Driven Land Cover Change Prediction Using Copernicus Earth Observation and Geospatial Data for Law-Compliant Territorial Planning in the Aosta Valley (Italy) T. Orusa et al.
- Geo-AI approach integrating MaxEnt and google earth engine for modeling the distribution of the Northern Bald Ibis (Geronticus eremita), a species threatened with extinction, in Morocco K. El fallah et al.
- Ethics of Artificial Intelligence for Cultural Heritage: Opportunities and Challenges S. Tiribelli et al.
- Detection of geodynamic anomalies in GNSS time series using machine learning methods I. Brusak et al.
22 citations as recorded by crossref.
- Identification of AI-Generated Rock Thin-Section Images by Feature Analysis Under Data Scarcity M. Habrat & M. Dwornik
- Uncertainty quantification in geospatial AI/ML applications: methods, metrics, and open-source support with an air quality use case A. Malarvizhi et al.
- GeoAI—The Evolution from Geospatial Information to Geospatiotemporal Intelligence W. Yan
- GeoAI in Topographic Mapping: Navigating the Future of Opportunities and Risks B. Kausika & V. van Altena
- A 3D GeoHash-Based Geocoding Algorithm for Urban Three-Dimensional Objects W. Choi et al.
- Applications of geomatics in multidisciplinary knowledge fields. A review for decision-makers P. Escandón-Panchana et al.
- From WebGIS to a Digital Twin for Sustainable Water Governance and Climate-Resilient River Basin District Planning: The AUBAC Case in Central Italy M. Casini
- Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review S. Wang et al.
- Fuzzy time series clustering using autoencoders neural network C. Ibebuchi
- Trends and Prospects of Satellite Remote Sensing in GeoAI Y. KOBAYASHI et al.
- A case study: Making decisions for sustainable university campus planning using GeoAI E. Kumaş & D. Aslan
- Student chatbot use and perceptions in a course assignment: Comparing two geomatics courses H. Hochmair
- When Machine Learning Meets Geospatial Data: A Comprehensive GeoAI Review A. Boutayeb et al.
- Integrating Emerging Technologies with Digital Twins for Heritage Building Conservation: An Interdisciplinary Approach with Expert Insights and Bibliometric Analysis S. Mazzetto
- Advancing Urban Analytics: GeoAI Applications in Spatial Decision-Making and Sustainable Cities S. Avram
- Comprehensive evaluation of land-use carbon emissions integrating social network analysis and a zone-based machine learning approach H. Fan et al.
- Knowledge Enhanced Neural Networks for Point Cloud Semantic Segmentation E. Grilli et al.
- Ethical Framework to Assess and Quantify the Trustworthiness of Artificial Intelligence Techniques: Application Case in Remote Sensing M. Paolanti et al.
- GeoAI-Driven Land Cover Change Prediction Using Copernicus Earth Observation and Geospatial Data for Law-Compliant Territorial Planning in the Aosta Valley (Italy) T. Orusa et al.
- Geo-AI approach integrating MaxEnt and google earth engine for modeling the distribution of the Northern Bald Ibis (Geronticus eremita), a species threatened with extinction, in Morocco K. El fallah et al.
- Ethics of Artificial Intelligence for Cultural Heritage: Opportunities and Challenges S. Tiribelli et al.
- Detection of geodynamic anomalies in GNSS time series using machine learning methods I. Brusak et al.
Saved (final revised paper)
Latest update: 04 May 2026
Short summary
For the processing of geomatics data, artificial intelligence (AI) offers overwhelming opportunities. The integration of AI approaches in geomatics has developed into the concept of geospatial artificial intelligence (GeoAI), which is a new paradigm for geographic knowledge discovery and beyond. This contribution outlines AI-based techniques for analysing and interpreting complex geomatics data. How AI approaches have been exploited for the interpretation of geomatic data is explained.
For the processing of geomatics data, artificial intelligence (AI) offers overwhelming...