Applications of Remote Sensing for Environmental Ecology
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: 28 February 2025
Special Issue Editors
Interests: GIS; applied remote sensing; GeoAI; spatial data mining; climate change; resilience
Interests: remote sensing of environment and natural resources; LiDAR remote sensing; UAV remote sensing; spatial analysis and modelling; spatial data science
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
The transformation of environmental ecology from a model-oriented to a data-driven field requires robust methods to reveal the interactions among the organisms and their complex environment. The ongoing transformation of environmental ecology, driven by advancements in remote sensing and artificial intelligence (AI), offers unprecedented opportunities for understanding and managing ecosystems. To achieve this aim, this Special Issue focuses on the applications of remote sensing for environmental ecology, with a particular emphasis on the integration of AI algorithms. We welcome original research, reviews, and innovative case studies that demonstrate novel uses of remote sensing data—acquired from satellites, drones, and other platforms and sensors—in conjunction with AI techniques, such as machine learning and deep learning, in shaping the future of environmental ecology. Theoretical and practical cross-disciplinary studies that highlight the synergy between cutting-edge AI technologies and remote sensing in addressing ecological challenges and enhancing our understanding of complex environmental systems are encouraged. Topics of interest include, but are not limited to, habitat monitoring and mapping, climate change impact assessment, biodiversity monitoring, water resource management, forest and vegetation analysis, soil and land degradation, urban livability assessment, and ecological disturbance detection and restoration monitoring at regional and global scales.
We look forward to receiving your contributions.
Dr. Mohammad Sharif
Dr. Xuan Zhu
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
- artificial intelligence LiDAR sensor fusion data fusion and assimilation time series analysis image processing and pattern recognition change detection land cover and land use changes ecological monitoring ecological vulnerability assessment
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