Assessment of Climate Change Impact on Terrestrial Ecosystems in Arid Regions Using Remote Sensing Data
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 187
Special Issue Editors
Interests: ecosystem service; soil and water conservation; climate change; deep learning; model building; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: global change; change management; natural resource management; social–ecological transformation; ecosystem service assessment
Special Issues, Collections and Topics in MDPI journals
Interests: riparian forest monitoring; arid land ecosystem dynamics; ecosystem service assessment; climate change adaptation; remote sensing of arid environment; LiDAR
Special Issue Information
Dear Colleagues,
Climate change has emerged as one of the most pressing global challenges, profoundly reshaping the structure, function, and sustainability of terrestrial ecosystems. Rising temperatures, altered precipitation regimes, and the increasing frequency of extreme events are influencing vegetation dynamics, biodiversity patterns, and ecosystem services at multiple spatial and temporal scales. In this context, remote sensing is an indispensable process for monitoring, modeling, and understanding these changes with high spatial and temporal resolution, and across extensive geographic areas.
This Special Issue aims to bring together innovative research that leverages remote sensing data to assess the impacts of climate change on terrestrial ecosystems. We particularly welcome contributions that explore vegetation phenology, land degradation, ecosystem productivity, carbon and water fluxes, and land cover dynamics in response to climatic variability and change. Studies that integrate multi-source remote sensing, advanced modeling techniques (e.g., machine learning, ecosystem process models), and ground-based observations are strongly encouraged.
By highlighting cutting-edge methodologies and real-world applications, this Special Issue seeks to advance our understanding of climate–ecosystem interactions and support evidence-based decision-making for ecosystem management and climate adaptation strategies. We invite researchers working across several disciplines and ecosystems to contribute to this topical and innovation collection of studies.
Dr. Xiaofei Ma
Prof. Dr. Martin Welp
Prof. Dr. Ümüt Halik
Guest Editors
Dr. Lei Shi
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
- climate change
- terrestrial ecosystems
- arid regions
- remote sensing
- vegetation dynamics
- ecosystem monitoring
- land surface phenology
- natural resource management
- nature-based solutions (NbS)
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