Geospatial Data Science for Landscape Monitoring and Ecological Conservation
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Innovations – Data and Machine Learning".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 214
Special Issue Editors
Interests: ecosystem services; GIS; land use; remote sensing; UAV; spatial patterning
Interests: terrestrial biosphere modeling; geospatial data science; sustainable agricultural management; carbon and nutrient cycling
Special Issues, Collections and Topics in MDPI journals
Interests: hyperspectral image; deep learning; few-shot learning; tree species classification; shrub identification
Special Issue Information
Dear Colleagues,
Geospatial technologies, including remote sensing, GIS, GPS, and spatial modeling, are profoundly transforming our capacity to observe, analyze, and understand the complex processes on the Earth's surface. Recent advances in geospatial artificial intelligence (GeoAI) further accelerate this transformation by enabling automated feature extraction, large-scale pattern detection, and near-real-time landscape monitoring. As human activities and climate change continue to impose severe pressures on global landscapes and ecological security, understanding these dynamics has become essential for safeguarding ecosystem health. The integration of multi-source geospatial data with cutting-edge GeoAI technologies now provides an unprecedented opportunity to achieve high-precision monitoring of landscape change, uncover complex ecological processes, and more accurately assess conservation effectiveness.
This Special Issue aims to explore the latest theories, methods, and applications of GeoAI and related geospatial technologies for landscape monitoring and ecological conservation. We welcome submissions that investigate how these technologies can address key scientific questions in landscape ecology, biodiversity conservation, ecosystem service assessment, land use/land cover change, and the interactions between human activities and the natural environment. By bringing together innovative research in this field, this Special Issue seeks to advance the scientific foundation for understanding and managing rapidly changing landscapes.
We invite the submission of original research articles and reviews focusing on, but not limited to, the following topics:
- Integration of multi-source geospatial data for landscape characterization and ecosystem mapping.
- Spatiotemporal modeling of landscape patterns and ecological processes, and investigating their driving mechanisms and future scenarios.
- Remote sensing retrieval of key ecological parameters such as vegetation productivity, biodiversity, land surface temperature, and soil moisture.
- Geospatial approaches for assessing and evaluating ecosystem services and their trade-offs.
- Monitoring of land use/land cover change and its impacts on ecosystem structure and function.
- Landscape ecological effects of human activities (e.g., urbanization, agricultural expansion, infrastructure development).
- Applications of GeoAI and big data in landscape ecology.
- Decision-support systems and spatial optimization for ecological conservation.
- Development and application of GeoAI methods for automated landscape analysis, feature extraction, and predictive modeling.
We look forward to receiving your original research articles and reviews.
Dr. Kai Su
Dr. Yongfa You
Dr. Long Chen
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- sustainable development
- geoAI
- geospatial technology
- landscape monitoring
- ecological conservation
- remote sensing
- land use/land cover change
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