Coastal and Littoral Observation Using Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (15 December 2024) | Viewed by 17444
Special Issue Editors
Interests: remote sensing; SAR/PolSAR; speckle; statistical modelling; computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: image processing; computer vision; machine learning; deep learning; first person vision
Interests: artificial intelligence; computer vision; optical flow; machine and deep learning; agile project management
Special Issue Information
Dear Colleagues,
Remote sensing offers unvaluable capabilities for earth observation. The use of present satellite/airborne systems working on the microwave spectrum, such as SAR (synthetic aperture radar) and PolSAR (polarimetric SAR), and on other wavelengths (visible, infrared, hyperspectral), in addition to the use of laser systems (LIDAR: laser imaging detection and ranging) makes it possible to better monitor the earth. These capabilities are of great importance for providing information with regard to coastal and littoral observation, where even low-cost systems (high/low-resolution cameras) can be useful and provide extra functionalities through convenient fusion strategies. Such systems offer huge amounts of data to researchers and to final users that can be analyzed to assist with the monitoring/planning of coastal and littoral uses.
There are several problems to tackle such as coastal and beaches dynamic evolution, maritime traffic and oil spill detection, sand deposits observation, land use pressure (over-exploitation, surface-water contamination), land cover (deforestation, cover vegetation, soil moisture), sea-level and sea temperature changes, ocean observation, smart tourism, among other applications of interest (local biodiversity management).
To fully extract information from the data, new methods and strategies are strongly required. Fortunately, computing machines have also experienced a notable increase in their capabilities, allowing us to process huge amount of data in a more efficient way through multicore/GPU resources, especially in coastal and litoral spaces where edge computing is required.
This Special Issue focuses on exploring new techniques for the data-to-information process used to acquire remote sensing data from coastal and littoral areas. Deep learning approaches, pattern recognition, machine learning methods built on suitable models closely linked to the data, image processing techniques (for instance segmentation and classification) and data fusion methods in general are the main interests of this Special Issue.
Dr. Luis Gómez Déniz
Dr. María Elena Buemi
Dr. Nelson Monzón López
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
- remote sensing
- coastal and littoral observation
- coastal & beach dynamics
- maritime safety
- smart tourism & coastal space management solutions
- local biodiversity management
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.