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Special Issue "Remote Sensing of Mangroves"
Deadline for manuscript submissions: closed (25 July 2019).
Prof. Seung Kuk Lee Website E-Mail
Department of Earth and Environmental Sciences, Pukyong National University, Busan, Korea
Interests: Pol-InSAR inversion; retrieval of 3D forest structure parameters; mangrove carbon; digital beamforming SAR sensors; Lidar and InSAR fusion for forest applications; GEDI
Mangrove forests provide a wide range of ecological, biogeochemical, social and economic services along the intertidal zones of the subtropics and tropics. Mangrove ecosystems also contain significantly high carbon stocks in different pools, including living vegetation (tree and root), dead trees, and soil sediments. These carbon-dense forests play an important role in mitigating global climate change through sequestering atmospheric CO2 on the ground. Therefore, the conversion or restoration of mangroves to/from other land uses at local, regional, and global scales is vital for understanding mangrove carbon stocks and dynamics and valuing other ecosystem services. Recent advancements in time-series analysis of remote sensing data, new methodologies for 3D forest structure parameter retrieval, computing and information technology, as well as compact and portable sensors have provided a high potential to provide valuable information for mangrove ecosystem carbon stocks and carbon dynamics.
This Special Issue calls for submissions presenting advancements in remote sensing approaches addressing mangrove 3D forest structure, carbon stock and fluxes from multiple remote sensing data sources, for example; terrestrial laser scanner, structure-from-motion, drone photography, as well as novel studies using traditional air- and space-borne sensors. High quality contributions emphasizing various elements of the mangrove carbon balance are solicited for the Special Issue, but we will also consider contributions that improve the monitoring and valuation of mangrove ecosystem services. Review papers presenting the status and progress, as well as papers describing new measurement concepts/sensors and new remote sensing approaches/techniques are welcomed.Dr. Seung Kuk Lee
Dr. David Lagomasino
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 1800 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.
- 3D forest structure
- Forest density and species mapping
- Above and belowground carbon
- Soil carbon
- Change in extent
- Carbon emission and sequestration
- Ecosystem services