Special Issue "Ensuring a Long-Term Future for Mangroves: A Role for Remote Sensing"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".

Deadline for manuscript submissions: 31 March 2021.

Special Issue Editors

Prof. Richard Lucas
Guest Editor
Department of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, Ceredigion, SY23 2EJ, U.K.
Interests: remote sensing; biogeography; ecology; land cover dynamics; forests and coastal ecosystems (including mangroves)
Dr. Christophe Proisy
Guest Editor
French Institute of Pondicherry (IFP) - French National Research Institute for Development (IRD),11 Saint-Louis Street, Pondicherry, 605001, India
Interests: remote sensing of mangrove forests for monitoring and modelling their dynamics
Dr. Emma Asbridge

Guest Editor
1. School of Earth and Environmental Science, Faculty of Science, Medicine and Health University of Wollongong, New South Wales, 2522, Australia
2. Department of Primary Industries Fisheries, DPI Fisheries, 12 Shirley Rd, Wollstonecraft, NSW, 2065, Australia
Interests: remote-sensing, mangroves, sea-level rise and climate change

Special Issue Information

Dear Colleagues,

Across their range and particularly in recent decades, mangroves have experienced significant loss and degradation through human activities (e.g., clearance or degradation), and have induced coastal and climate change. These changes and the impacts on the coastal environment are particularly noticeable in time-series of remote sensing data. The remote sensing community has reported on such changes at varying (local to global) scales and temporal frequencies and using a diverse range of sensors (primarily optical, radar, and lidar). However, despite alerting communities at all levels to such changes, mangroves continue to be lost or degraded to the point that there are now large sections of coastline with very little of this ecosystem remaining. Such losses are devastating to both floral and faunal diversity, and significantly compromise the integrity and functioning of coastal environments. Moreover, there are significant impacts on societies living close to or relying on mangroves, and also on local to national economies.

Without multi-scale Earth observations, there is no doubt that the community would be far less aware of the changes in mangroves that have occurred, and of the extent of the damage inflicted. However, we can do more, but this requires the whole community to engage and collaborate in a way that ensures that local to international policymakers, land managers, and communities are provided with robust datasets that routinely capture and can be used to report—on a timely and regularly basis—the states and dynamics of mangroves at local to global scales.

The Special Issue "Ensuring a Long-Term Future for Mangroves: A Role for Remote Sensing" in Remote Sensing aims at highlighting research that explores the following:

  1. How the characterizing, mapping, and monitoring of mangroves can be consistently coordinated, from local to global scales, such that the various datasets generated build on and align with each other, particularly in terms of mapped extents, class taxonomies, and biophysical attributes (e.g., height, cover, and biomass).
  2. How in situ (field) data coupled with very high spatial resolution airborne (including drone) and spaceborne images can support the development products and build sound baselines dedicated to emblematic topics such as, "mangroves for sustainable aquaculture" or "mangroves for early warning on coastal erosion", which can be addressed and managed at national and international levels.
  3. How the development of algorithms and models for explaining changes along coastlines supporting mangroves as a function of forcing variables (climate, ocean, and human activities) can prefigure the dynamic and reliable classifications of coastal land cover change and evolution.
  4. How the transboundary issue of mangrove preservation can benefit from centralized repositories with freely available data at a global level.
  5. How local communities can be made increasingly aware of and become involved in the sustainable and equitable management of “their” mangrove region through new technologies including mobile phone applications, web-portals alimented by image data and dynamic land cover maps.
Prof. Richard Lucas
Dr. Christophe Proisy
Dr. Emma Asbridge
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 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.

Published Papers (1 paper)

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Open AccessArticle
Rapid Mangrove Forest Loss and Nipa Palm (Nypa fruticans) Expansion in the Niger Delta, 2007–2017
Remote Sens. 2020, 12(14), 2344; https://doi.org/10.3390/rs12142344 - 21 Jul 2020
Cited by 1
Mangrove forests in the Niger Delta are very valuable, providing ecosystem services, such as carbon storage, fish nurseries, coastal protection, and aesthetic values. However, they are under threat from urbanization, logging, oil pollution, and the proliferation of the invasive Nipa Palm (Nypa [...] Read more.
Mangrove forests in the Niger Delta are very valuable, providing ecosystem services, such as carbon storage, fish nurseries, coastal protection, and aesthetic values. However, they are under threat from urbanization, logging, oil pollution, and the proliferation of the invasive Nipa Palm (Nypa fruticans). However, there are no reliable data on the current extent of mangrove forest in the Niger Delta, its rate of loss, or the rate of colonization by the invasive Nipa Palm. Here, we estimate the area of Nipa Palm and mangrove forests in the Niger Delta in 2007 and 2017, using 567 ground control points, Advanced Land Observatory Satellite Phased Array L-band SAR (ALOS PALSAR), Landsat and the Shuttle Radar Topography Mission Digital Elevation Model 2000 (SRTM DEM). We performed the classification using Maximum Likelihood (ML) and Support Vector Machine (SVM) methods. The classification results showed SVM (overall accuracy 93%) performed better than ML (77%). Producers (PA) and User’s accuracy (UA) for the best SVM classification were above 80% for most classes; however, these were considerably lower for Nipa Palm (PA—32%, UA—30%). We estimated a 2017 mangrove area of 801,774 ± 34,787 ha (±95% Confidence Interval) ha and Nipa Palm extent of 11,447 ± 7343 ha. Our maps show a greater landward extent than other reported products. The results indicate a 12% (7–17%) decrease in mangrove area and 694 (0–1304)% increase in Nipa Palm. Mapping efforts should continue for policy targeting and monitoring. The mangroves of the Niger Delta are clearly in grave danger from both rapid clearance and encroachment by the invasive Nipa Palm. This is of great concern given the dense carbon stocks and the value of these mangroves to local communities for generating fish stocks and protection from extreme events. Full article
(This article belongs to the Special Issue Ensuring a Long-Term Future for Mangroves: A Role for Remote Sensing)
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