Smart geospatial technologies and spatial data analysis: AI, remote sensing and 3D modelling for environmental, land use and urban applications
DOI: https://doi.org/10.3846/gac.2026.28711Abstract
Smart geospatial technologies and spatial data analysis: AI, remote sensing and 3D modelling for environmental, land use and urban applications. Geodesy and Cartography, 52(S1), S1–S3.
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Copyright (c) 2026 The Author(s). Published by Vilnius Gediminas Technical University.
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Zhu, X. X., Tuia, D., Mou, L., Xia, G.-S., Zhang, L., Xu, F., & Fraundorfer, F. (2017). Deep learning in remote sensing: A comprehensive review and list of resources. IEEE Geoscience and Remote Sensing Magazine, 5(4), 8–36. https://doi.org/10.1109/MGRS.2017.2762307
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Copyright (c) 2026 The Author(s). Published by Vilnius Gediminas Technical University.
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This work is licensed under a Creative Commons Attribution 4.0 International License.