Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.9
5.0
Journals
Remote Sensing
Special Issues
Remote Sensing of Ecogeomorphology and Ecohydrology: Feedbacks between Biota and...
remotesensing-logo
Submit to Remote Sensing Review for Remote Sensing Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Remote Sensing of Ecogeomorphology and Ecohydrology: Feedbacks between Biota and Sediment Transport at the Earth Surface

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 3707

Special Issue Editors

Dr. William Nardin

E-Mail Website
Guest Editor
Horn Point Laboratory, University of Maryland Center for Environmental Science, Cambridge, MD 21613, USA
Interests: ecogeomorphology and coastal morphodynamics
Dr. Dongdong Shao

E-Mail Website
Guest Editor
School of Environment, Beijing Normal University, Beijing 100875, China
Interests: eco- and environmental-hydraulics; estuarine hydrodynamics; morphodynamics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are inviting articles for submission to the Special Issue of Remote Sensing titled “Remote Sensing of Ecogeomorphology and Ecohydrology: Feedback between Biota and Sediment Transport at the Earth’s Surface”.

Feedbacks between biota and landscape are often difficult to determine. The roles of life as a control of the Earth’s surface morphodynamics is largely unknown, and only recently researchers have started exploring these intricate interactions. The goal of this Special Issue is to promote works, applying mainly a remote sensing approach, that investigate how the Earth’s surface is shaped by vegetation, animals, and micro-organisms, and subsequently how these ecosystems evolve within the newly generated landscape. Examples of study topics in this new and exciting field are the feedbacks between water fluxes, sediment transport, and biology, and the spatial organization of vegetation on terrestrial landscapes. We encourage submissions of ecogeomorphic and ecohydraulic studies based on remote sensing observations coupled with field experiments and numerical modeling. Emphasis will be given to novel research that investigates the resilience of coupled ecological–geomorphic systems to climate change. In particular, we seek ecogeomorphic contributions in coastal and marine processes, aeolian processes, hillslope dynamics, river geomorphology, glacial and periglacial landscapes, and tectonics geomorphology.

Dr. William Nardin
Dr. Dongdong Shao
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

  • Eco-geomorphology
  • Bio-geomorphology
  • Coastal morphodynamics
  • Remote sensing
  • Unmanned Aerial Vehicles
  • Sediment dynamics
  • River deltas and estuaries
  • Vegetation
  • Climate change

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

19 pages, 9484 KiB  
Article
Seasonality and Characterization Mapping of Restored Tidal Marsh by NDVI Imageries Coupling UAVs and Multispectral Camera
by William Nardin, Yuri Taddia, Michela Quitadamo, Iacopo Vona, Corinne Corbau, Giulia Franchi, Lorie W. Staver and Alberto Pellegrinelli
Remote Sens. 2021, 13(21), 4207; https://0-doi-org.brum.beds.ac.uk/10.3390/rs13214207 - 20 Oct 2021
Cited by 12 | Viewed by 2843
Abstract
Salt marsh evolution is strongly affected by tidal processes and ecology, which regulate sediment accretion and erosional rates. A balance between marsh erosion and deposition in a restored tidal wetland is crucial for analyzing restoration strategies to adopt in a natural context. Here, [...] Read more.
Salt marsh evolution is strongly affected by tidal processes and ecology, which regulate sediment accretion and erosional rates. A balance between marsh erosion and deposition in a restored tidal wetland is crucial for analyzing restoration strategies to adopt in a natural context. Here, we present an integrated approach monitoring salt marsh seasonal changes over several months in a microtidal restored salt marsh of the Paul S. Sarbanes Ecosystem Restoration Project at Poplar Island (MD, USA). The project is undertaken at a restoration site where sediment dredged from the shipping channels in the upper Chesapeake Bay is being used to restore a tidal marsh habitat in mid-Chesapeake Bay. We flew an Unmanned Aerial Vehicle (UAV) with an RGB and a multispectral camera to obtain a high-resolution map of the planimetric position of vegetation and to monitor the health of the marsh vegetation in diverse seasons. Due to its extension of 400 m by 400 m, a total of four flight plans were necessary to cover the entire marsh flying at a 40 m altitude obtaining a 2 cm Ground Sample Distance (GSD). This technique provides reliable results at a very low cost, enabling an accurate assessment of the marsh platforms to be conducted over time, due to both the very high spatial resolution and the precise georeferencing of the images for the comparisons. Our results show seasonal variability in the two dominant species colonizing the low marsh, Spartina alterniflora, and high marsh, Sporobolus pumilus. While the lower marshes showed a higher variability along seasons, the up-land vegetation showed persistent green foliage during cold seasons. Detecting salt marsh evolution and seasonality coupled with field measurements can help to improve the accuracy of hydrodynamic and sediment transport models. Understanding the drivers of salt marsh evolution is vital for informing restoration practices and designs, in order to improve coastal resilience, and develop and coastal management strategies. Full article
(This article belongs to the Special Issue Remote Sensing of Ecogeomorphology and Ecohydrology: Feedbacks between Biota and Sediment Transport at the Earth Surface)
►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop