Land Use and Land Cover Change Analysis in Dynamic Landscapes
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Socio-Economic and Political Issues".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 116
Special Issue Editors
Interests: land use analysis; remote sensing; geographic information system
Interests: forest health; invasive species; classification; climate change; drought; image texture; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; earth observation; agriculture; biophysical parameters; natural resources; optical (multispectral and hyperspectral); proximal sensing
Special Issue Information
Dear Colleagues,
Land use and land cover change (LULCC) are both the main drivers and consequences of global environmental change, especially across the rapidly changing landscapes of the world. As landscapes change due to urbanization, agricultural intensification, climate variability, and other socio-economic forces, it is essential that reliable analytical geospatial technologies are used to capture the extent, causes, and implications of these changes. This Special Issue aims, therefore, to advance understanding of LULCC processes and their implications in a variety of dynamic environments, and contributions are invited that address innovative methods of remote sensing, machine learning, and geospatial modelling for the detection, monitoring, and prediction of LULCCs. Case studies from dynamic regions are particularly welcome, including urban and coastal areas, wetlands, and arid and mountainous areas. Studies examining the relationship between land cover change and ecosystem services, biodiversity loss, water resources, and the resilience of the socio-economic situation, as well as on governance and landscape management, will be supported. This Special Issue also aims to foster interdisciplinary dialogue and to contribute to evidence-based land management strategies to promote sustainability and climate adaptation and protection. Bringing together research from different geographic contexts and thematic areas, the goal is to better understand how dynamic landscapes respond to and shape LULCC. Researchers, practitioners, and policy analysts are invited to share their insights, which will not only map the changes but also provide actionable solutions in the face of growing environmental uncertainty.
We look forward to receiving your original research articles and reviews.
Dr. Sifiso Xulu
Dr. Romano Lottering
Dr. Mahlatse Kganyago
Dr. Humphrey Kgabo Thamaga
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- land use and land cover change
- remote sensing
- GIS
- machine learning
- modelling
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