For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
17
views
66
references
 Top references
cited by
3
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      89
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Impact of the spatial resolution of satellite remote sensing sensors in the quantification of total suspended sediment concentration: A case study in turbid waters of Northern Western Australia

      research-article
      Author(s): * ,
      Editor(s):
      Publication date (Electronic):
      Journal: PLoS ONE
      Publisher: Public Library of Science

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The impact of anthropogenic activities on coastal waters is a cause of concern because such activities add to the total suspended sediment (TSS) budget of the coastal waters, which have negative impacts on the coastal ecosystem. Satellite remote sensing provides a powerful tool in monitoring TSS concentration at high spatiotemporal resolution, but coastal managers should be mindful that the satellite-derived TSS concentrations are dependent on the satellite sensor’s radiometric properties, atmospheric correction approaches, the spatial resolution and the limitations of specific TSS algorithms. In this study, we investigated the impact of different spatial resolutions of satellite sensor on the quantification of TSS concentration in coastal waters of northern Western Australia. We quantified the TSS product derived from MODerate resolution Imaging Spectroradiometer (MODIS)-Aqua, Landsat-8 Operational Land Image (OLI), and WorldView-2 (WV2) at native spatial resolutions of 250 m, 30 m and 2 m respectively and coarser spatial resolution (resampled up to 5 km) to quantify the impact of spatial resolution on the derived TSS product in different turbidity conditions. The results from the study show that in the waters of high turbidity and high spatial variability, the high spatial resolution WV2 sensor reported TSS concentration as high as 160 mg L -1 while the low spatial resolution MODIS-Aqua reported a maximum TSS concentration of 23.6 mg L -1. Degrading the spatial resolution of each satellite sensor for highly spatially variable turbid waters led to variability in the TSS concentrations of 114.46%, 304.68% and 38.2% for WV2, Landsat-8 OLI and MODIS-Aqua respectively. The implications of this work are particularly relevant in the situation of compliance monitoring where operations may be required to restrict TSS concentrations to a pre-defined limit.

          Related collections

          Most cited references66

          • Record: found
          • Abstract: found
          • Article: not found
          Is Open Access

          Environmental impacts of dredging and other sediment disturbances on corals: a review.

          Paul L.A. Erftemeijer, Bernhard Riegl, Bert Hoeksema … (2012)
          A review of published literature on the sensitivity of corals to turbidity and sedimentation is presented, with an emphasis on the effects of dredging. The risks and severity of impact from dredging (and other sediment disturbances) on corals are primarily related to the intensity, duration and frequency of exposure to increased turbidity and sedimentation. The sensitivity of a coral reef to dredging impacts and its ability to recover depend on the antecedent ecological conditions of the reef, its resilience and the ambient conditions normally experienced. Effects of sediment stress have so far been investigated in 89 coral species (~10% of all known reef-building corals). Results of these investigations have provided a generic understanding of tolerance levels, response mechanisms, adaptations and threshold levels of corals to the effects of natural and anthropogenic sediment disturbances. Coral polyps undergo stress from high suspended-sediment concentrations and the subsequent effects on light attenuation which affect their algal symbionts. Minimum light requirements of corals range from 100 mg L(-1) in marginal nearshore reefs. Some individual coral species can tolerate short-term exposure (days) to suspended-sediment concentrations as high as 1000 mg L(-1) while others show mortality after exposure (weeks) to concentrations as low as 30 mg L(-1). The duration that corals can survive high turbidities ranges from several days (sensitive species) to at least 5-6 weeks (tolerant species). Increased sedimentation can cause smothering and burial of coral polyps, shading, tissue necrosis and population explosions of bacteria in coral mucus. Fine sediments tend to have greater effects on corals than coarse sediments. Turbidity and sedimentation also reduce the recruitment, survival and settlement of coral larvae. Maximum sedimentation rates that can be tolerated by different corals range from 400 mg cm(-2) d(-1). The durations that corals can survive high sedimentation rates range from 4 weeks of high sedimentation or >14 days complete burial) for very tolerant species. Hypotheses to explain substantial differences in sensitivity between different coral species include the growth form of coral colonies and the size of the coral polyp or calyx. The validity of these hypotheses was tested on the basis of 77 published studies on the effects of turbidity and sedimentation on 89 coral species. The results of this analysis reveal a significant relationship of coral sensitivity to turbidity and sedimentation with growth form, but not with calyx size. Some of the variation in sensitivities reported in the literature may have been caused by differences in the type and particle size of sediments applied in experiments. The ability of many corals (in varying degrees) to actively reject sediment through polyp inflation, mucus production, ciliary and tentacular action (at considerable energetic cost), as well as intraspecific morphological variation and the mobility of free-living mushroom corals, further contribute to the observed differences. Given the wide range of sensitivity levels among coral species and in baseline water quality conditions among reefs, meaningful criteria to limit the extent and turbidity of dredging plumes and their effects on corals will always require site-specific evaluations, taking into account the species assemblage present at the site and the natural variability of local background turbidity and sedimentation. Copyright © 2012 Elsevier Ltd. All rights reserved.
          Article 0 comments Cited 160 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Estimation of the remote-sensing reflectance from above-surface measurements.

            Bret Mobley (1999)
            The remote-sensing reflectance R(rs) is not directly measurable, and various methodologies have been employed in its estimation. I review the radiative transfer foundations of several commonly used methods for estimating R(rs), and errors associated with estimating R(rs) by removal of surface-reflected sky radiance are evaluated using the Hydrolight radiative transfer numerical model. The dependence of the sea surface reflectance factor rho, which is not an inherent optical property of the surface, on sky conditions, wind speed, solar zenith angle, and viewing geometry is examined. If rho is not estimated accurately, significant errors can occur in the estimated R(rs) for near-zenith Sun positions and for high wind speeds, both of which can give considerable Sun glitter effects. The numerical simulations suggest that a viewing direction of 40 deg from the nadir and 135 deg from the Sun is a reasonable compromise among conflicting requirements. For this viewing direction, a value of rho approximately 0.028 is acceptable only for wind speeds less than 5 m s(-1). For higher wind speeds, curves are presented for the determination of rho as a function of solar zenith angle and wind speed. If the sky is overcast, a value of rho approximately 0.028 is used at all wind speeds.
            Article 0 comments Cited 156 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: path radiance.

              Svetlana Kotchenova, R Matarrese, Eric F Vermote … (2006)
              A vector version of the 6S (Second Simulation of a Satellite Signal in the Solar Spectrum) radiative transfer code (6SV1), which enables accounting for radiation polarization, has been developed and validated against a Monte Carlo code, Coulson's tabulated values, and MOBY (Marine Optical Buoy System) water-leaving reflectance measurements. The developed code was also tested against the scalar codes SHARM, DISORT, and MODTRAN to evaluate its performance in scalar mode and the influence of polarization. The obtained results have shown a good agreement of 0.7% in comparison with the Monte Carlo code, 0.2% for Coulson's tabulated values, and 0.001-0.002 for the 400-550 nm region for the MOBY reflectances. Ignoring the effects of polarization led to large errors in calculated top-of-atmosphere reflectances: more than 10% for a molecular atmosphere and up to 5% for an aerosol atmosphere. This new version of 6S is intended to replace the previous scalar version used for calculation of lookup tables in the MODIS (Moderate Resolution Imaging Spectroradiometer) atmospheric correction algorithm.
              Article 0 comments Cited 103 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Guy J-P. Schumann: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date (Electronic): 5 April 2017
                Publication date Collection: 2017
                Volume: 12
                Issue: 4
                Electronic Location Identifier: e0175042
                Affiliations
                [001]Remote Sensing and Satellite Research Group, Curtin University, Perth, Western Australia
                Bristol University/Remote Sensing Solutions Inc., UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: PD PF.

                • Data curation: PD.

                • Formal analysis: PD.

                • Funding acquisition: PF.

                • Investigation: PD.

                • Methodology: PD PF.

                • Project administration: PF.

                • Resources: PD PF.

                • Software: PD.

                • Supervision: PF.

                • Validation: PD.

                • Visualization: PD.

                • Writing – original draft: PD.

                • Writing – review & editing: PD PF.

                Author information
                http://orcid.org/0000-0002-1130-0581
                Article
                Publisher ID: PONE-D-16-46123
                DOI: 10.1371/journal.pone.0175042
                PMC ID: 5381897
                PubMed ID: 28380059
                SO-VID: af0e3ff8-cb79-440a-aae0-52675d03d929
                Copyright © © 2017 Dorji, Fearns
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 21 November 2016
                Date accepted : 20 March 2017
                Page count
                Figures: 8, Tables: 1, Pages: 24
                Funding
                Funded by: Western Australian Marine Science Institution
                Award Recipient : Peter Fearns
                This study was funded by the Western Australian Marine Science Institute (WAMSI) through the Dredging Science Node Project 2/3. Also, Curtin University provided a postgraduate research scholarship to PD. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Subject: Research Article
                Subject: Earth Sciences
                Subject: Geology
                Subject: Petrology
                Subject: Sediment
                Subject: Earth Sciences
                Subject: Geology
                Subject: Sedimentary Geology
                Subject: Sediment
                Subject: Engineering and Technology
                Subject: Remote Sensing
                Subject: Physical Sciences
                Subject: Materials Science
                Subject: Materials Physics
                Subject: Turbidity
                Subject: Physical Sciences
                Subject: Physics
                Subject: Materials Physics
                Subject: Turbidity
                Subject: Earth Sciences
                Subject: Marine and Aquatic Sciences
                Subject: Bodies of Water
                Subject: Rivers
                Subject: Ecology and Environmental Sciences
                Subject: Aquatic Environments
                Subject: Freshwater Environments
                Subject: Rivers
                Subject: Earth Sciences
                Subject: Marine and Aquatic Sciences
                Subject: Aquatic Environments
                Subject: Freshwater Environments
                Subject: Rivers
                Subject: Computer and Information Sciences
                Subject: Data Acquisition
                Subject: Earth Sciences
                Subject: Marine and Aquatic Sciences
                Subject: Water Quality
                Subject: Physical Sciences
                Subject: Mathematics
                Subject: Applied Mathematics
                Subject: Algorithms
                Subject: Research and Analysis Methods
                Subject: Simulation and Modeling
                Subject: Algorithms
                Subject: Research and Analysis Methods
                Subject: Imaging Techniques
                Subject: Neuroimaging
                Subject: Calcium Imaging
                Subject: Biology and Life Sciences
                Subject: Neuroscience
                Subject: Neuroimaging
                Subject: Calcium Imaging
                Custom metadata
                Data Availability All the data are within the paper.

                ScienceOpen disciplines: Uncategorized
                Data availability:
                ScienceOpen disciplines: Uncategorized

                Comments

                Comment on this article

                scite_

                Similar content89

                See all similar

                Cited by3

                See all cited by

                Most referenced authors525

                See all reference authors