Remote Sensing for Monitoring Land-Use/Land-Cover Change and Impacts on Ecosystem Service
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 26 February 2025 | Viewed by 101
Special Issue Editors
Interests: spatiotemporal big data analysis; GeoAI; remote sensing AI; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: Remote Sensing of Urban Environment; Urban Simulation and Optimization; Evaluation of Human Settlement Environments
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing AI; GeoAI; quantitative human geography; sensing mobility and activity; geospatial big data analytics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The advent of remote sensing has revolutionized the manner in which we monitor and comprehend alterations in land use and land cover (LULC), furnishing crucial insights into their impact on ecosystem services. By employing sophisticated satellite and airborne sensors, remote sensing captures high-resolution data across vast spatial and temporal scales. This technology enables precise mapping and analysis of LULC changes, revealing patterns and trends essential for the management of natural resources and the assessment of environmental health.
Monitoring LULC changes is of critical importance, as these transformations significantly affect ecosystem services, including climate regulation, water purification, and biodiversity support. For instance, deforestation not only contributes to carbon emissions but also disrupts habitats and alters hydrological cycles. Accurate and timely remote sensing data are essential for policymakers and conservationists to implement sustainable land management practices, mitigate climate change, and enhance ecosystem resilience. In a world undergoing rapid change, the capacity to monitor and respond to LULC changes is of the utmost importance for the safeguarding of the environment and the achievement of sustainable development.
Articles may address, but are not limited to, the following topics:
- Advanced Remote Sensing Technologies;
- Environmental Health Remote Sensing;
- Urban Expansion Monitoring;
- Land-Cover Change;
- Water Quality Assessment;
- Climate Impact Studies;
- Policy and Land Management;
- Big Data and GIS Integration;
- Land Use and Spatial Computing;
- Land Use and GeoAI.
Prof. Dr. Shaohua Wang
Prof. Dr. Liang Zhou
Dr. Yeran Sun
Guest Editors
Dr. Haojian Liang
Guest Editor Assistant
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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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
- remote sensing
- land-use change
- land-cover monitoring
- urban environmental monitoring
- urban infrastructure
- sustainable land management
- RS and GIS integration
- deep learning applications
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