Special Issue "Remote Sensing in Mangroves"
Deadline for manuscript submissions: 30 September 2020.
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 Sensors: Remote Sensing of Mangrove Ecosystems
Mangrove forests are in constant flux due to both natural and anthropogenic forces. The changing mangroves will have important consequences to coastal communities. At present, conversion of mangroves to other land uses is the dominant factor responsible for the change; however, sea level rise and natural disaster such as hurricane are becoming increasingly dominant. 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 advancement in remote sensing data availability, image-processing methodologies, computing and information technology, and human resources development have provided an opportunity to observe and monitor mangroves from local to global scales on a regular basis. Spectral, spatial, and temporal resolution of remote sensing data and their availability has improved making it possible to observe and monitor mangroves with unprecedented spatial thematic, and temporal details. 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 volume of data using cloud computing.
The “Remote Sensing” journal announces a special issue dedicated to observation and monitoring of mangroves using remote sensing from local to global scales. The 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 wide variety of remote sensing data for mangrove forest applications. 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
- 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, and other ongoing changes in mangrove ecosystems.
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. 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 2200 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 forests
- Mangrove change
- Remote Sensing
- Image processing
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Application of integrated GIS models for detection of mangrove vulnerability and coastal erosion changes in tropical coastal protected area
Authors: Fernando Morgado
Affiliation: Departament of Biology, University of Aveiro
Abstract: Currently there is a wide variety of models that support the planning and management of coastal areas (and coastal municipalities and cities), which include applications for the calculation of vulnerability of coastal erosion regarding Sustainable Infrastructures. Being these models supported by Geographical Information Systems and a set of parameters that best describes the study area, it becomes possible to identify vulnerable areas to erosion (affecting Infrastructures safety). This system features a large number of areas with strong evidence of erosion, highlighting geological and geomorphological areas with high vulnerability. Approximately 1221 Km2 have been classified in this work, and about 16% of the total present high and very high vulnerability. Other relevant aspects, were the identification and georeferencing sites that showed strong evidence of erosion, and thus having huge influence on the final results. This work led to the development of a multidisciplinary approach through the application of a prediction and description model that resulted from the adaptation of the study system from a set of implemented models for coastal regions, in order to determine the erosion vulnerability in the mangroves (and associated localities, municipalities and communities) wellbeing of Cananeia.
Title: Effect of multiple stressors on the Quelimane mangroves, Mozambique: human impacts and climate change
Authors: Fernando Morgado
Affiliation: Departament of Biology, University of Aveiro
Abstract: Mangroves are the only forests situated at the confluence of the terrestrial and marine environment in subtropical and tropical regions of the world. They have exceptional adaptations to environmental conditions and play a key role in the sustainability of the natural and human environment, and can create conditions for the development of wildlife-friendly habitats, while also contributing to the maintenance of biodiversity. The study aimed to characterize the horizontal structure of the Quelimane mangrove forest, to assess its current conservation status, to show temporal evolution and trends of the mangrove forest over the past sixteen (16) years (2002-2018) and to analyse the influence of anthropogenic and climatic factors involved. Data collection was carried out in Icídua and Inhangome neigh bourhoods in the year 2018 in August and September. In each neighbourhood, 18 gridsof 10x10m were marked out at 4m from the bank of the Bons Sinais River. In each grid was done the characterization of the mangrove and all regenerating juveniles individuals. Through satellite images the evolution of the mangrove forest was analysed and the transect factors, grids, species and locations and the salinity parameter were studied as this is one of the abiotic factors with significant influence on the dynamics of this forest. Most of the variables analysed showed significant differences between transects, grids, species, locations and selected interactions (P <0.05). However, after the interaction between the factors were done, significant differences were found mainly in the PAD. Five species of mangrove were identified among them Avicennia marina, Rhizophora mucronata, Ceriops tagal, Xylocarpus granatum e Bruguierra gymnorhiza. These species all occur in Inhangome and Icidua only two (Avicennia marina and Ceriopstagal).The Avicennia marina was the most abundant species in both study points with a relative density of 75% and 95% respectively. Quelimane mangrove still raises some conservation concerns, justified by the percentage of intact species in Inhangome and Icidua being 47% and 8% respectively and considering the importance of this ecosystem in the face of climate change. Regeneration levels are of little concern with 18% propagules, 45% intermediates and 35% shrubs for Inhangome and 77% propagules, 21% intermediates and 1% shrubs for Icidua. The conservation status of the forest is worrying due to anthropogenic and natural disturbances that have a direct impact on forest area reduction in recent years.