Monitoring Land Use/Land Cover Change and Forest Dynamics Through Remote Sensing
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Systems and Global Change".
Deadline for manuscript submissions: 1 September 2026 | Viewed by 229
Editors
Interests: remote sensing; GIS; forest site classification; stand parameters; land use
Interests: forest management; GIS; land use change; modelling; carbon storage
Special Issue Information
Dear Colleagues,
The goals of this Special Issue are to collect high-quality original research articles and comprehensive review papers that provide novel insights into the monitoring of land use and forest dynamics through remote sensing approaches, and to highlight recent methodological advances, including time series analysis, machine learning techniques, and texture-based metrics for assessing forest structure, biomass, and land cover change. We particularly encourage interdisciplinary contributions that integrate multisource satellite data to improve the accuracy and reliability of spatiotemporal analyses. By addressing both methodological developments and applied case studies, this Special Issue directly aligns with the scope of Land in terms of advancing scientific understanding of land systems, landscape processes, and sustainable land management.
This Special Issue welcomes manuscripts that link the following themes:
- Land use and land cover (LULC) change detection using remote sensing;
- Forest dynamics and forest structure monitoring;
- Aboveground biomass (AGB) estimation and carbon stock assessment using remote sensing;
- Time series analysis of satellite imagery (e.g., Landsat or Sentinel-2);
- Machine learning and deep learning applications in Earth observation;
- Multi-source data fusion (optical, SAR, and LiDAR) for land and forest monitoring.
We look forward to receiving your original research articles and reviews.
Prof. Dr. Alkan Günlü
Prof. Dr. Fatih Sivrikaya
Dr. Sinan Bulut
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-anonymized 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/land cover change (LULC)
- remote sensing
- forest dynamics
- time series analysis
- change detection
- aboveground biomass estimation
- stand parameter estimation
- aboveground carbon estimation
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