Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Deep Learning and Big Data Mining with Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 31 August 2023 | Viewed by 1046
Special Issue Editors
Interests: risk assessment and prediction; critical infrastructure resilience; urban resilience; remote sensing; geoinformatics; image fusion; spatial data science; social vulnerability; energy justice
Interests: remote sensing; natural hazards; numerical models; machine learning; artificial intelligence
Interests: geospatial artificial intelligence; regional science; smart cities; urban computing
Special Issues, Collections and Topics in MDPI journals
Special Issue in ISPRS International Journal of Geo-Information: Spatiotemporal Computing for Sustainable Ecosystem
Special Issue in Sustainability: Sustainable Ecosystems and Society in the Context of Big and New Data
Special Issue in Data: Open Data and Robust & Reliable GIScience
Special Issue in Sustainability: Methodological Advances in Research on Sustainable Ecosystems
Special Issue in Sustainability: Data Analytics on Sustainable, Resilient and Just Communities
Special Issue in Remote Sensing: Integrating Remote Sensing and Social Sensing
Special Issue in ISPRS International Journal of Geo-Information: Scaling, Spatio-Temporal Modeling, and Crisis Informatics
Special Issue in Urban Science: The Implications of Human Mobility and Accessibility for Transportation and Livable Cities
Special Issue in Sustainability: Frontiers in Urban Informatics and Spatial Social Network Analysis
Special Issue Information
AI/ML / remote sensing / hazards (but also other applications). I think we need to emphasize remote sensing + AI/ML
The availability of large-scale earth observation data at varying spatial, temporal and spectral resolutions, whether derived from satellite sensors, drones or urban sensors, has enabled these datasets to be used to generate a time-critical situational awareness of different applications, including for extreme events. It is imperative to derive and update such information for applications in cities. The easy access to large volumes of datasets combined with advancements in artificial intelligence/machine learning and computational science has allowed for the generation of derived products and visualization platforms for decision makers. While there is no shortage of using remote sensing data for different applications, the quality of the derived products remains an intellectual and practical challenge.
The aim of this Special Issue is to publish basic and empirical research focused on (i) applying AI/DL along with remote sensing for different applications, with a specific focus given to extreme events; (ii) developing new data and image fusion techniques and statistical/mathematical models that allow high spatio-temporal resolution products to be derived; and (iii) assessing quality issues, including ethics, privacy and reproducibility/replicability of the derived products. The Special Issue contributes to the journal’s goal to publish methodological and applied papers pertaining to every aspect of remote sensing.
- Challenges in collecting, processing and analyzing Big Data for real-time applications;
- Data fusion of multi-source and/or heterogeneous datasets;
- Privacy, reproducibility and replicability of remote sensing and AI-derived products;
- Geo-visualization techniques to analyze and visualize remote sensing data;
- Technological advances in hardware and data management;
- Large-scale spatial data mining;
- Spatial downscaling;
- Virtual 3D mapping and analysis using remote sensing data.
Dr. Bandana Kar
Dr. Guido Cervone
Dr. Xinyue Ye
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 2500 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.
- data and image fusion
- reproducibility and replicability
- EO for emergency management
- advantages and limitations of AI/DL