Land Innovations – Data and Machine Learning
A section of Land (ISSN 2073-445X).
Section Information
The section on data and machine learning includes, but is not limited to, frontiers of research in spatial data science for obtaining, processing, analyzing, harnessing, and visualizing social, economic, and environmental data related to land. Submissions on geospatial artificial intelligence and machine learning techniques for dealing with spatial big data, including remotely sensed data and social media data, are especially welcome.
This section solicits research articles, data descriptors (data paper), and technical notes. Research articles are original research manuscripts on obtaining, processing, analyzing, harnessing, and visualizing data related to land. Data descriptors (data papers) are descriptions of original research land data. Described datasets must be publically available under an open license. The paper must have the web links to the datasets and reuse e data descriptions in other research papers without copyright infringement. Technical notes are short articles that briefly describe or review specific developments, techniques, or procedures on land data handling, or they may describe modifications of existing techniques and procedures on land data handling.
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Geospatial Technologies for Land Governance (Deadline: 31 March 2026)
- Advancements in Geospatial Techniques for Land Change Analysis and Management (Deadline: 31 March 2026)
- Integration of Remote Sensing and GIS for Land Use Change Assessment (Second Edition) (Deadline: 31 March 2026)
- Advancing Urban Digital Twins: Integrating Geospatial Data and Innovative Geospatial Methods for Smart Cities (Deadline: 13 April 2026)
- Synergistic Use of Time-Series Remote Sensing, Deep Learning, and AI for Land Transformation Monitoring (Deadline: 15 April 2026)
- Evaluating Urban Public Spaces Based on User-Generated Geographic Data (Deadline: 15 May 2026)
- Geospatial Technologies Applied to Territorial Studies (Deadline: 15 May 2026)
- Land Use Change and Technological Innovations: Remote Sensing and Artificial Intelligence Approaches (Deadline: 15 May 2026)
- Spatiotemporal Data Analytics and Modeling of Land Systems: Shaping Sustainable Landscape, Second Edition (Deadline: 25 May 2026)
- Big Data-Driven Urban Spatial Perception (Deadline: 31 May 2026)
- Advances in Urban Hydrological Modeling and Stormwater Management for Hydrological Hazard Mitigation (Deadline: 1 June 2026)
- Digital Earth and Remote Sensing for Land Management, 2nd Edition (Deadline: 15 June 2026)
- Integrating Remote Sensing, Geospatial Technologies, and AI for Sustainable Land and Soil System Management (Deadline: 30 June 2026)
- AI’s Role in Land Use Management (Deadline: 30 June 2026)
- Land Use Planning and Advanced Geospatial Technologies for Cultural Heritage Conservation and Monitoring (Deadline: 30 June 2026)
- RS4Land: Emerging Trends in Remote Sensing for Land and Environment (Deadline: 30 June 2026)
- Geospatial Data Science for Landscape Monitoring and Ecological Conservation (Deadline: 30 June 2026)
- Advancing Sustainable Urban Development Through Spatial Analysis: Leveraging Digital Technologies and Geographic Data for Smart, Inclusive, and Resilient Cities (Deadline: 17 July 2026)
- Geodesign and Spatial Data for Inclusive and Accessible Cities: Geomatics, Walkability, and Participatory Urban Planning (Deadline: 11 August 2026)
- Human Activity-Driven Land Use Change: Insights and Perspectives from Novel Data and Methodologies (Deadline: 16 September 2026)
