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:
- Spatiotemporal Data Analytics and Modeling of Land Systems: Shaping Sustainable Landscape, Second Edition (Deadline: 12 May 2025)
- Feature Papers for Land Innovations—Data and Machine Learning: 2nd Edition (Deadline: 31 May 2025)
- Data-Driven City and Society—a Land Perspective (Deadline: 30 June 2025)
- Harnessing the Power of Land Mapping Data for Effective Land Policy Development (Deadline: 31 July 2025)
- Digital Earth and Remote Sensing for Land Management (Deadline: 31 August 2025)
- Evaluating Urban Public Spaces Based on User-Generated Geographic Data (Deadline: 15 September 2025)
- Recent Progress in Spatial Modeling in Urban Land Dynamics and Planning (Deadline: 30 September 2025)
- Geospatial Technologies for Land Governance (Deadline: 30 September 2025)
- Advancements in Geospatial Techniques for Land Change Analysis and Management (Deadline: 30 September 2025)
- Computer Vision and Machine Learning Methods for Land Use Land Cover Change Modelling and Forecasting (Deadline: 31 October 2025)
- Synergistic Use of Time-Series Remote Sensing, Deep Learning, and AI for Land Transformation Monitoring (Deadline: 31 October 2025)
- GeoAI and Remote Sensing for Ecological Security and Sustainable Development in Arid Lands (Deadline: 11 November 2025)
- Advancing Sustainable Urban Development Through Spatial Analysis: Leveraging Digital Technologies and Geographic Data for Smart, Inclusive, and Resilient Cities (Deadline: 19 December 2025)
