Author: Sachini Madhusha Ranasinghe
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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The Neuse River Estuary is a shallow open estuary located at the southern margin of the Albemarle-Pamlico Sound complex in North Carolina. Nutrient oversaturation due to the delivery of excessive nutrient-rich alluvial flux, weak tidal activity, and long water residence times have led to eutrophication and the growth of seasonal algal blooms. The problem has become more severe over the past few decades leading to many environmental and social health concerns. These outcomes emphasize the need for regular monitoring of phytoplankton, growth rate, water quality change, and control strategies. Satellite remote sensing studies provide a great solution for continuous water quality monitoring as a relatively cost-effective tool with high spatial and weekly to daily cloud-free temporal resolution. This research applies the Kent State University (KSU) Varimax-rotated Principal Component Analysis (VPCA) developed by Ortiz et al. (2013) to study the seasonal succession of phytoplankton and water quality parameters in the Neuse River Estuary by using Sentinel - 2 A/B Multi-Spectral Instrument (MSI) images from 2019 to 2021. The spectral signals in the water column were decomposed into six components using coherent, linearly correlated information in the visible and near-infrared spectral ranges. The components are then identified by comparing their spectral shape against standard spectral libraries. The study collaborated with the Neuse River Estuary Modeling and Monitoring program for the field-based water quality and cell count data, which was used in conjunction with remote sensing observations. We evaluated the applicability of the KSU VPCA method through a three-day average model. It identified two phytoplankton assemblages (Diatoms/Dinoflagellates/Chlorophytes and Cryptophytes) and two minerals (Goethite and Muscovite) that are successfully matched with the field observations. Secondly, we separated three phytoplankton-related (Dinoflagellates, Diatoms, and Chlorophyllide-b) and three mineral-based (Gypsum, Hematite, Chlorite) components by averaging multiple images over three years from 2019 to 2021 showing the fall to spring succession of phytoplankton in the Neuse Estuary. Results showed a dominant dinoflagellate population in the upper estuary, while diatoms dominated the lower estuary. Overall, phytoplankton density was low in winter but increased with the spring rainfall in response to nutrient flux delivered with alluvial input. The seasonal succession of the phytoplankton population was mainly controlled by the primary Neuse River channel input, while isolated small-scale blooms were influenced by nutrient input from tributaries. In conclusion, the KSU VPCA method was successful in identifying major phytoplankton groups, suspended minerals, and algal blooms with high spatial sensitivity. The temporal resolution of Sentinel- 2 derived products was significantly affected in summer due to intense cloud cover and the sun glint. The three-year averaging model showed a higher sensitivity to component identification than the three-day average model with greater statistical significance. We identified six critical factors that determine the output quality of remote sensing and KSU VPCA derived component identification in this optically complex coastal water body: cloud cover, sun glint, radiometric resolution, spatial resolution, the temporal resolution of the satellite sensor and the radiometric resolution of standard spectral libraries. With the hyperspectral sensors and detailed spectral standards, the KSU VPCA method can develop further as a powerful tool in aquatic remote sensing.
Author: Lisa Eby
Publisher:
ISBN:
Category : Environmental monitoring
Languages : en
Pages : 72
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Book Description
Author: Sima Bagheri
Publisher: Springer
ISBN: 3319469495
Category : Science
Languages : en
Pages : 98
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Book Description
This book provides details on of the utility of hyperspectral remote sensing – NASA/AVIRIS in nearshore water quality issues of NY/NJ. It demonstrates the use of bio optical modeling and retrieval techniques to derive the concentrations of important water quality parameters (chlorophyll, color dissolved organic matter and suspended sediments) in the study area. The case study focuses on the nearshore waters of NY/NJ considered as a valued ecological, economic and recreational resource within the New York metropolitan area. During field campaigns (1998-2001) measurements were made to establish hydrological optical properties of the NY/NJ nearshore waters with concurrent NASA/AVIRIS overflights. The field measurements included: 1) concurrent above and below surface spectral reflectance; 2) shipboard sampling for determination of inherent optical properties (IOP); and 3) concentrations of optically important water quality parameters. Understanding the relationship between reflectance, absorption and scattering is essential for developing the analytical algorithm necessary to use remote sensing as a monitoring /management tool in the nearshore environment.
Author: Karin A. Maloney
Publisher:
ISBN:
Category : Environmental monitoring
Languages : en
Pages : 66
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Author:
Publisher:
ISBN:
Category : Water quality monitoring stations
Languages : en
Pages : 290
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Book Description
Author:
Publisher:
ISBN:
Category : Hydrology
Languages : en
Pages : 618
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Author: Elizabeth M. Middleton
Publisher:
ISBN:
Category : Water
Languages : en
Pages : 194
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Author: Manfred Owe
Publisher:
ISBN:
Category : Environmental monitoring
Languages : en
Pages : 294
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Book Description
This publication is a compilation of papers that were presented at the IAHS Symposium on Remote Sensing for Environmental Monitoring and Change Detectionorganised by the IAHS International Commission on Remote Sensing, in Perugia, 2007. The 30 contributions cover approaches using the thermal infrared, microwave and radar; studies monitoring vegetation, snow and ice, and evapotranspiration; and the combination of remote sensing techniques and GISfor hydrological applications.
Author: Gert A. Schultz
Publisher: Springer Science & Business Media
ISBN: 3642595839
Category : Science
Languages : en
Pages : 498
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Book Description
The book provides comprehensive information on possible applications of remote sensing data for hydrological monitoring and modelling as well as for water management decisions. Mathematical theory is provided only as far as it is necessary for understanding the underlying principles. The book is especially timely because of new programs and sensors that are or will be realised. ESA, NASA, NASDA as well as the Indian and the Brazilian Space Agency have recently launched satellites or developed plans for new sensor systems that will be especially pertinent to hydrology and water management. New techniques are presented whose structure differ from conventional hydrological models due to the nature of remotely sensed data.
Author: A. Cazenave
Publisher: Springer
ISBN: 3319324497
Category : Science
Languages : en
Pages : 336
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Book Description
This book is a collection of overview articles showing how space-based observations, combined with hydrological modeling, have considerably improved our knowledge of the continental water cycle and its sensitivity to climate change. Two main issues are highlighted: (1) the use in combination of space observations for monitoring water storage changes in river basins worldwide, and (2) the use of space data in hydrological modeling either through data assimilation or as external constraints. The water resources aspect is also addressed, as well as the impacts of direct anthropogenic forcing on land hydrology (e.g. ground water depletion, dam building on rivers, crop irrigation, changes in land use and agricultural practices, etc.). Remote sensing observations offer important new information on this important topic as well, which is highly useful for achieving water management objectives.Over the past 15 years, remote sensing techniques have increasingly demonstrated their capability to monitor components of the water balance of large river basins on time scales ranging from months to decades: satellite altimetry routinely monitors water level changes in large rivers, lakes and floodplains. When combined with satellite imagery, this technique can also measure surface water volume variations. Passive and active microwave sensors offer important information on soil moisture (e.g. the SMOS mission) as well as wetlands and snowpack. The GRACE space gravity mission offers, for the first time, the possibility of directly measuring spatio-temporal variations in the total vertically integrated terrestrial water storage. When combined with other space observations (e.g. from satellite altimetry and SMOS) or model estimates of surface waters and soil moisture, space gravity data can effectively measure groundwater storage variations. New satellite missions, planned for the coming years, will complement the constellation of satellites monitoring waters on land. This is particularly the case for the SWOT mission, which is expected to revolutionize land surface hydrology. Previously published in Surveys in Geophysics, Volume 37, No. 2, 2016
