Remote Sensing for Natural Resources and Environmental Management of Arid and Semi-Arid Regions
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing for Geospatial Science".
Deadline for manuscript submissions: 28 September 2025 | Viewed by 139
Special Issue Editors
Interests: vegetation phenology; permafrost; soil organic carbon; precipitation correction; remote sensing
Interests: remote sensing of vegetation; ecological restoration; ecosystem services; social–ecological system
Special Issues, Collections and Topics in MDPI journals
Interests: hydrology; water resources; water quality; climate change
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Remote sensing technologies offer cost-effective, large-scale data collection for various applications, including dryland ecosystem analysis, soil degradation assessment, water resource management, and environmental parameter retrieval. Recent advancements, such as multi-sensor integration and artificial intelligence approaches, have improved our ability to monitor the structure and functions of ecosystems, soil properties, water quality and quantity, and hydroclimatic extremes. These approaches have revolutionized natural resource management, enabling efficient decision-making and policy formulation, and have contributed to sustainable development and resource preservation. However, challenges remain, including low signal-to-noise ratios in drylands, limited ground observational networks, and the need for specialized algorithms.
This Special Issue invites studies on the integration of multiple remote sensing data sources, utilization of means of artificial intelligence, machine learning, and big data in natural resource management and the environment in arid and semi-arid regions.
Topics covering anything from multiscale approaches to studies on the assessment of ecosystem function and service, the retrieval of ecosystem indices, and environmental parameters are welcome.
Dr. Chong Wang
Dr. Hao Wang
Dr. Shuci Liu
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. 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
- vegetation dynamics
- ecosystem services
- carbon cycle/sequestration
- soil moisture
- evaporation
- water quality
- scale effects
- climate change
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