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

Deadline for manuscript submissions: closed (15 November 2021) | Viewed by 12331

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Special Issue Editor

Prof. Dr. Charles R. Bostater Jr.

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Guest Editor

Ocean Engineering & Marine Sciences, Florida Institute of Technology, Melbourne, FL 32937, USA
Interests: hyperspectral sensing; optical aquatic radiative transfer; Monte-Carlo modeling; multispectral remote sensing; water quality; optical measuremets of surface gravity waves; estuaries; in situ sensing; coastal oceans; airborne sensing

Special Issue Information

Dear Colleagues,

Remote sensing science, technology and related engineering can provide information needed to advance our scientific understanding of coastal oceans, estuaries and large water regions. The systems and data provided by remote sensing systems located onboard multiple platforms have the potential to be used for monitoring the quality of these aquatic environments to support aquatic life and to support human economic activities that occur in these areas.

With this special issue, the authors share their state-of-the-art research methods and results that specifically addresses national to global monitoring activities, water surface wave sensing and habitat and water quality monitoring needs. Review contributions are also welcomed as well as papers describing new radiative transfer models, measurement concepts, and new sensors and platforms.

Prof. Dr. Charles R. Bostater Jr.
Guest Editor

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

coastal waters
large water regions
sea ice
radiative transfer modeling
estuaries
water surface wave sensing

Published Papers (3 papers)

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Research

28 pages, 10971 KiB

Open AccessArticle

The Potential of Satellite Remote Sensing Time Series to Uncover Wetland Phenology under Unique Challenges of Tidal Setting

by Gwen Joelle Miller, Iryna Dronova, Patricia Y. Oikawa, Sara Helen Knox, Lisamarie Windham-Myers, Julie Shahan and Ellen Stuart-Haëntjens

Remote Sens. 2021, 13(18), 3589; https://doi.org/10.3390/rs13183589 - 9 Sep 2021

Cited by 10 | Viewed by 4035

Abstract

While growth history of vegetation within upland systems is well studied, plant phenology within coastal tidal systems is less understood. Landscape-scale, satellite-derived indicators of plant greenness may not adequately represent seasonality of vegetation biomass and productivity within tidal wetlands due to limitations of cloud cover, satellite temporal frequency, and attenuation of plant signals by tidal flooding. However, understanding plant phenology is necessary to gain insight into aboveground biomass, photosynthetic activity, and carbon sequestration. In this study, we use a modeling approach to estimate plant greenness throughout a year in tidal wetlands located within the San Francisco Bay Area, USA. We used variables such as EVI history, temperature, and elevation to predict plant greenness on a 14-day timestep. We found this approach accurately estimated plant greenness, with larger error observed within more dynamic restored wetlands, particularly at early post-restoration stages. We also found modeled EVI can be used as an input variable into greenhouse gas models, allowing for an estimate of carbon sequestration and gross primary production. Our strategy can be further developed in future research by assessing restoration and management effects on wetland phenological dynamics and through incorporating the entire Sentinel-2 time series once it becomes available within Google Earth Engine. Full article

(This article belongs to the Special Issue Remote Sensing of Coastal Processes)

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27 pages, 7322 KiB

Open AccessArticle

Bringing Bathymetry LiDAR to Coastal Zone Assessment: A Case Study in the Southern Baltic

by Pawel Tysiac

Remote Sens. 2020, 12(22), 3740; https://doi.org/10.3390/rs12223740 - 13 Nov 2020

Cited by 20 | Viewed by 3175

Abstract

One of the major tasks in environmental protection is monitoring the coast for negative impacts due to climate change and anthropopressure. Remote sensing techniques are often used in studies of impact assessment. Topographic and bathymetric procedures are treated as separate measurement methods, while methods that combine coastal zone analysis with underwater impacts are rarely used in geotechnical analyses. This study presents an assessment of the bathymetry airborne system used for coastal monitoring, taking into account environmental conditions and providing a comparison with other monitoring methods. The tests were carried out on a section of the Baltic Sea where, despite successful monitoring, coastal degradation continues. This technology is able to determine the threat of coastal cliff erosion (based on the geotechnical analyses). Shallow depths have been reported to be a challenge for bathymetric Light Detection and Ranging (LiDAR), due to the difficulty in separating surface, water column and bottom reflections from each other. This challenge was overcome by describing the classification method used which was the CANUPO classification method as the most suitable for the point cloud processing. This study presents an innovative approach to identifying natural hazards, by combining analyses of coastal features with underwater factors. The main goal of this manuscript is to assess the suitability of using bathymetry scanning in the Baltic Sea to determine the factors causing coastal erosion. Furthermore, a geotechnical analysis was conducted, taking into account geometrical ground change underwater. This is the first study which uses a coastal monitoring approach, combining geotechnical computations with remote sensing data. This interdisciplinary scientific research can increase the awareness of the environmental processes. Full article

(This article belongs to the Special Issue Remote Sensing of Coastal Processes)

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23 pages, 9027 KiB

Open AccessArticle

A Multi-Decadal Investigation of Tidal Creek Wetland Changes, Water Level Rise, and Ghost Forests

by Jessica Lynn Magolan and Joanne Nancie Halls

Remote Sens. 2020, 12(7), 1141; https://doi.org/10.3390/rs12071141 - 3 Apr 2020

Cited by 12 | Viewed by 4434

Abstract

Coastal wetlands play a vital role in protecting coastlines, which makes the loss of forested and emergent wetlands devastating for vulnerable coastal communities. Tidal creeks are relatively small hydrologic areas that feed into larger estuaries, are on the front lines of the interface between saltwater and freshwater ecosystems, and are potentially the first areas to experience changes in sea level. The goal of this study was to investigate wetland changes through time at two tidal creeks (Smith Creek and Town Creek) of the Cape Fear River estuary in southeastern North Carolina, USA, to determine if there is a spatial relationship between habitat change, physical geography characteristics, and the rate of wetland migration upstream. Historic aerial photography and recent satellite imagery were used to map land cover and compute change through time and were compared with derived physical geography metrics (sinuosity, creek width, floodplain width, floodplain elevation, and creek slope). The primary results were: (1) there was a net gain in emergent wetlands even accounting for the area of wetlands that became water, (2) wetlands have migrated upstream at an increasing rate through time, (3) land cover change was significantly different between the two creeks (P = 0.01) where 14% (67.5 ha) of Smith Creek and 18% (272.3 ha) of Town Creek transitioned from forest to emergent wetland, and (4) the transition from emergent wetland to water was significantly related to average change in creek width, floodplain elevation, and average water level. In conclusion, this research correlated habitat change with rising water level and identified similarities and differences between neighboring tidal creeks. Future research could apply the methodologies developed here to other coastal locations to further explore the relationships between tides, sea level, land cover change, and physical geography characteristics. Full article

(This article belongs to the Special Issue Remote Sensing of Coastal Processes)

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