When Machine Learning Meets Geospatial Data: A Comprehensive GeoAI Review
In recent years, geospatial artificial intelligence (GeoAI) has gained traction in the most relevant research works and industrial applications, while also becoming involved in various fields of use. This article offers a comprehensive review of GeoAI as a synergistic concept applying artificial int...
Saved in:
| Main Authors: | Anasse Boutayeb, Iyad Lahsen-Cherif, Ahmed El Khadimi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10994795/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
<italic>DeepMapper:</italic> A GeoAI Approach to Automate the VGI Mapping Workflow
by: Lasith Niroshan, et al.
Published: (2025-01-01) -
Exploring geo-transferability of deep neural network by developing comprehensive metrics
by: Junxian Yu, et al.
Published: (2025-05-01) -
GeoAI enabled urban computing: status and challenges
by: Feng Lu, et al.
Published: (2025-08-01) -
Synthetic geospatial data and fake geography: A case study on the implications of AI-derived data in a data-intensive society
by: Antonello Romano
Published: (2025-06-01) -
Web-gis development for geospatial data dissemination in eu operational programmes
by: Konstantinos EVANGELIDIS, et al.
Published: (2018-10-01)