Remote Sensing Applications to Ecology: Opportunities and Challenges II
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ecological Remote Sensing".
Deadline for manuscript submissions: closed (26 April 2024) | Viewed by 770
Special Issue Editors
Interests: artificial intelligence; machine learning; deep learning; object detection; conservation; e-health
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning; deep learning; computer vision; technology in conservation and e-health
Special Issues, Collections and Topics in MDPI journals
Interests: great apes; conservation; drones
Special Issues, Collections and Topics in MDPI journals
Interests: physics and astronomy; earth and planetary sciences
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to the overwhelming support and interest in the previous Special Issue (SI), we are introducing a 2nd edition on “Remote Sensing Applications to Ecology: Opportunities and Challenges”. We would like to thank all the authors and co-authors who made contributions to the success of the 1st edition of this SI.
We are pleased to announce a new Special Issue entitled “Remote Sensing Applications to Ecology: Opportunities and Challenges II”. We are soliciting submissions for both review and original research articles related to the novel use of data obtained from sensors (camera traps, cameras, microphones, unoccupied vehicles (aerial, terrestrial, and aquatic)) and any other sensor platforms you think would support ecology to manage and protect environments globally. We encourage submissions with a particular focus on artificial intelligence (AI) algorithms and their use in ecological studies. This Special Issue is open to contributions ranging from systems that monitor different physical environments, combat poaching and protect wildlife, support wildlife management and conservation, enable animal counting and tracking, support biodiversity assessments, and monitor forest health and quality, to novel approaches to sensor fusion for remote sensing. Original contributions that look at integrated sensor-based technologies and wide-area communications across remote sensing platforms (land, sea, air- and spaceborne) are also encouraged.
Prof. Dr. Paul Fergus
Dr. Carl Chalmers
Prof. Dr. Serge Wich
Prof. Dr. Steven Longmore
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
- land-, sea-, air-, space-based monitoring
- multi-spectral remote sensing
- hyperspectral remote sensing
- LiDAR
- sensor fusion
- time series analysis
- data fusion and data assimilation
- wireless (2/3/4/5G/WiFi/satellite) mesh networking in remote areas
- machine learning (image processing and pattern recognition)
- high-performance inferencing
- edge/IoT deployment and inferencing
- robotics (rovers, drones)
- remote sensing applications
- poaching
- wildlife conservation
- animal counting
- environment monitoring
- change detection
