Special Issue "Remote Sensing of Mangrove Ecosystems"
Deadline for manuscript submissions: closed (1 December 2017).
Interests: mangrove forests mapping and monitoring using high resolution satellite data; global and continental land cover mapping and monitoring using multi-spectral, multi-temporal, and multi-platform remotely sensed data; image pre-processing, classification, and validation using cloud computing
Special Issues and Collections in MDPI journals
Special Issue in Remote Sensing: Remote Sensing in Mangroves
Mangrove forests provide important ecosystem goods and services to humanity and the biosphere. However, mangrove forests are in constant flux due to both natural and anthropogenic forces. At present, conversion of mangroves to other land uses is the dominant factor responsible for the change; however, climate change (e.g., sea-level rise) is becoming increasingly dominant. The changing mangroves could serve as an indicator of climate change. Observation and monitoring of the distribution and dynamics of mangroves is central to a wide range of scientific investigations conducted in both terrestrial and marine ecosystems.
Recent advances in remote sensing data availability, image-processing methodologies, computing and information technology, and human resource development have provided an opportunity to observe and monitor mangroves, from local to global scales, on a regular basis. Spectral and spatial resolution of remote sensing data, and their availability, have improved, making it possible to observe and monitor mangroves in unprecedented spatial and thematic detail. Novel remote sensing platforms, such as unmanned aerial vehicles and emerging sensors, such as Fourier transform infrared spectroscopy and LiDAR, can now be used for mangrove monitoring. Furthermore, it is now possible to store and analyze large amounts of data using cloud computing.
Sensors announces a Special Issue dedicated to observation and monitoring of mangroves using remote sensing from local to global scales. The Special Issue will broadly cover application of remote sensing using optical (multi-spectral and hyperspectral), radar, and LiDAR data, obtained from multiple platforms, including ground, air, and space. Research papers are expected to use the latest techniques to acquire, manage, exploit, process, and analyze a wide variety of remote sensing data for mangrove forest applications. Applications of remote sensing products will also be included. Both research papers and innovative review papers are invited.
High-quality contributions, emphasizing (but not limited to) the topic areas listed below, are solicited for the Special Issue:
- Application of aerial ground remote sensing, photography, multi-spectral, multi-temporal and multi-resolution, satellite data, synthetic aperture radar (SAR) data, hyperspectral data, and LiDAR data.
- Application of advanced image pre-processing for geometric, radiometric, and atmospheric correction, cloud removal, image mosaicking, and cloud computing
- Application of advanced image classification and validation techniques including supervised and unsupervised classification
- Application of advanced image storage, retrieval, processing, and distribution techniques such as networked data transmission and distributed computing
- Application of remote sensing to derive spatio-temporal information on mangrove forests distribution, species discrimination, forest density, forest health, mangrove expansion and contraction, carbon sequestration, and other innovative applications.
Dr. Chandra Giri
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 papers will be 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. Sensors 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 2000 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.
- mangrove distribution
- mangrove expansion and squeeze
- deforestation and afforestation
- mangrove restoration
- species discrimination
- stand density
- forest health
- forest disturbance
- multi-platform, multi-spectral, multi-resolution data
- image processing
- image classification
- results validation
- change detection
- cloud computing