These data are from EPA's national coastal monitoring programs and include data from the water column, sediments, and biota, 1990-2015. This dataset is associated with the following publication: Hale, S., H. Buffum, J. Kiddon, and M. Hughes. Subtidal Benthic Invertebrates Shifting Northward Along the U.S. Atlantic Coast. Estuaries and Coasts. Estuarine Research Federation, Port Republic, MD, USA, 40(6): 1744-1756, (2017).

The Coastal Infrastructure Vulnerability Index (CIVI) was jointly developed by DFO Science Branch, Small Craft Harbours (SCH) Program and the Economic Analysis and Statistics Directorate. The CIVI was designed with the intent of developing a climate change adaptation tool that would support management decisions regarding the long-term infrastructure planning for SCH sites. The CIVI provides a numerical indication of the relative vulnerability of small craft harbour sites to the effects of climate change and was designed with three component sub-indices: Environmental Exposure (natural forces), Infrastructure, and Socio-economic. The spatial component for the coastline was derived from the CanVec 1:50,000 hydrographic layer (https://open.canada.ca/data/en/dataset/9d96e8c9-22fe-4ad2-b5e8-94a6991b744b). This layer combines the 1:50,000 CanVec coastline of Canada with the following CIVI environmental exposure variables: - projected sea level rise (for the decades 2030, 2040,...2100) in meters - wave height (metres) and wind speed (metres/second) - change in sea ice coverage in Atlantic Canada from the 1970s to the 2000s Sea level change: Data for relative sea level change (SLC) were derived from the Intergovernmental Panel on Climate Change Fifth Assessment Report (IPCC 2014, AR5). The projected relative sea level change under the high emission scenario (RCP8.5) was calculated for all years between 2006 and 2100. Sea level change for the years 2030, 2040, 2050, 2060, 2070, 2080, 2090, and 2100 were used. Wind Speed and Wave Height Modelled hindcasts of yearly maximum wind speed (1990 - 2012) and wave height (1990- 2014) were used. This dataset was generated from IFREMER wave hindcasts using the WAVEWATCH III model with wind data from NCEP Climate Forecast System Reanalysis (CFSR) (Saha et al. 2010). Two high resolution (10 minute) grids of Atlantic and Pacific maximum modeled wind speeds and maximum significant wave height were used for southern Canadian coastal areas while a coarser (30 minute) worldwide grid was used for the Arctic areas. From these datasets the mean annual maximum wind speed over 23 years and the mean maximum significant wave height over 25 years were calculated. Change in sea ice coverage: Sea ice data from the Canadian Ice Service were acquired for Atlantic and Arctic Canada, representing percent ice coverage for each week over four decades (1970s, 1980s, 1990, 2000s). For each decade a single dataset was calculated to represent the sum of all weeks with ice coverage in excess of 50%, with a maximum possible score of 52 weeks for each decade. To measure change in ice duration, the summary mapsheet from the 2000s was subtracted from the 1970s summary mapsheet. The final dataset represents the change between the 1970s and 2000s in the number of weeks with ice concentrations greater than 50%. A positive number indicates a reduction in weeks of ice coverage, a negative number an increase in ice coverage. The data for individual small craft harbours included here contains predicted sea level change for the decades between 2030 and 2100, wave height, windspeed, change in sea ice coverage, population, and the final environmental exposure sub-index value (ESI). The population for each harbour is derived from the 2016 Census of Canada data for the Census subdivision (CSD) geographic unit. Reference: Relative sea-level projections for Canada based on the IPCC Fifth Assessment Report and the NAD83v70VG national crustal velocity model https://geoscan.nrcan.gc.ca/starweb/geoscan/servlet.starweb?path=geoscan/fulle.web&search1=R=327878 IPCC, 2014. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L. White (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1132 pp. Cite this data as: Greenan B. and Greyson P. Coastal Environmental Exposure Layer. Published March 2022. Ocean Ecosystem Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.

Survey name: 2010-11 Coastal and Marine Environmental Research. St Mawes maerl and Zostera bed video transects. This is a collation of surveys to gather data and evidence from a variety of marine environments. The survey purposes vary and include recommended Marine Conservation Zone (rMCZ) Phase I or II verification surveys, condition assessments, surveys of features of Natura 2000 sites (Special Area of Conservation, Special Protection Area), Intertidal surveys, Benthic grab surveys and others. All surveys are carried out to specified standards and follow established methodologies. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. Attribution statement: Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].

aThis survey action has been undertaken as part of WP6 of the H2020 JERICO-S3 project. Its integration in Sextant is the first step towards a comprehensive and extensive data catalog for the JERICO Research Infrastructure.

JERICO-S3, Description of Work - WP6 : Data Management Task 6.2: Data management for coastal platforms (M1-48) (Lead: HCMR) Subtask 6.2.1: Identify and update the overview of JERICO-RI involved platforms and data (SMHI, MARIS, IFREMER) (M1-48) The JERICO dataset catalogue has proven a useful tool for creating an overview of platforms and data relevant for the project this and will be updated. Input from other WP’s will be used to identify the actual JERICO platforms, including the PSS, TNA platforms, and IRS. Partners will collect and describe coastal platforms in the dataset catalogue (technically run in WP7) including pointers to data, which variables (related to EOV’s) published as D6.2. Subtask 6.2.2: Best practice capturing for “mature” platforms with physical and BGC parameters (HCMR, SMHI, CNR, ETT, SOCIB, HZG, RWS) (M6-42). For the following platform types there will be activities supporting data management as defined under T6.4 in close relation to the Virtual Research Environment in WP7: HF radars (CNR), Gliders (SOCIB, ETT), FerryBox (HZG) The work for each platform type will follow basically the same approach and will cooperate with WP4 (PSS) and WP3 (IRS). The experts will identify the existing standards, and possible data management best practices (D6.3). At the end of the project an evaluation will be done of the level of Best Practice adoption at the IRSs and PSSs in the project, as well as the use of the VRE by the partners engaged in WP3 and WP4 (D6.10). This will be done in cooperation with WP3 and WP4, and is an important condition for data to be accessible for use in the Virtual Environment in T7.4.

In 2002, the Environmental Protection Agency (EPA) Environmental Monitoring and Assessment Program (EMAP) National Coastal Assessment (NCA), in conjunction with state agencies, Region 9, and the University of Hawaii, conducted the first comprehensive survey of the condition of estuarine resources in Hawaii. The survey sampled 79 stations on islands of the Hawaiian chain and included all of the indicators of the NCA surveys. The Hawaiian surveys, however, did not produce estimates of sediment toxicity because of insufficient soft sediments, and rather than assessing contaminant levels in fish, it assessed the body burdens of sea cucumbers. The Western Pilot-Coastal Monitoring is a large-scale, comprehensive environmental monitoring strategy designed to provide regional characterization of estuarine conditions along the West and Pacific Coasts of the United States.

Coastal Topographic Surveys are height transects that form part of the Anglian Coastal Monitoring Programme. A surveyor using a GNSS (Global Navigation Satellite System) staff will make observations of elevation and usually substrate type at recorded coordinates. This is usually carried out along a fixed transect line, but can be along a grid or, when the staff is mounted to an ATV (All terrain vehicle), a high volume of ‘spot height’ measurements through the survey area. The outputs of this survey are the easting and northing coordinates of each location where a measurement was taken and the elevation in metres above Ordnance Datum (Newlyn). The transect survey data will also contain a chainage position of where along the transects the measurement was taken and a two letter substrate code.

The NR14, Coastal Environment Geoscience Survey project utilises a wide variety of information and techniques to compile the basic coastal geoscientific information necessary for the development of a land use strategy for Cape York Peninsula. The report therefore provides a statement of the methodology employed, together with results of the data analyses undertaken and coastal geoscience GIS coverages completed to date. The project was undertaken to produce a geoscientific synthesis of the evolution and character of the coastal zone of Cape York Peninsula to include: - assessment of the oceanographic and meteorological processes affecting the coastal area; - documentation of the character of coastal environments and the nature of sedimentary deposits within them; - analysis of Holocene evolution of the coastal zone; - identification of areas of significant instability; and - consideration of issues relevant to sustainable use.

description: In 2004, the Environmental Protection Agency (EPA) Environmental Monitoring and Assessment Program (EMAP) National Coastal Assessment (NCA), coordinated through the Gulf Ecology Division, conducted a comprehensive survey of the condition of estuarine resources in American Samoa. The survey sampled 49 stations on islands of Tutuila, Aunu'u Ofu, Olosega, Ta'u during April and August, 2004. The WATER QUALITY MEASUREMENTS data set contains two types of data: hydrologic profile water quality information resulting from in-field observations of physical data and water quality information resulting from laboratory examination of water quality samples for nutrient analyses. The SEDIMENT CHEMISTRY data set contains sediment contaminant information resulting from laboratory examination of samples collected at sites. Each record reports the contaminant name and its associated measured concentration, date site was visited, and the group that collected the data. Only one grab per site was required by the program. The SEDIMENT GRAIN data set contains sediment grain analyses information resulting from laboratory examination of samples collected at sites visited during probability surveys. Each record reports the sediment component and its associated measured concentration, date site was visited, and the group that collected the data. Only one grab per site was required by the program.; abstract: In 2004, the Environmental Protection Agency (EPA) Environmental Monitoring and Assessment Program (EMAP) National Coastal Assessment (NCA), coordinated through the Gulf Ecology Division, conducted a comprehensive survey of the condition of estuarine resources in American Samoa. The survey sampled 49 stations on islands of Tutuila, Aunu'u Ofu, Olosega, Ta'u during April and August, 2004. The WATER QUALITY MEASUREMENTS data set contains two types of data: hydrologic profile water quality information resulting from in-field observations of physical data and water quality information resulting from laboratory examination of water quality samples for nutrient analyses. The SEDIMENT CHEMISTRY data set contains sediment contaminant information resulting from laboratory examination of samples collected at sites. Each record reports the contaminant name and its associated measured concentration, date site was visited, and the group that collected the data. Only one grab per site was required by the program. The SEDIMENT GRAIN data set contains sediment grain analyses information resulting from laboratory examination of samples collected at sites visited during probability surveys. Each record reports the sediment component and its associated measured concentration, date site was visited, and the group that collected the data. Only one grab per site was required by the program.

This report is a contribution to the Strategic Environmental Assessment (SEA3) conducted by the Department of Trade and Industry (now Department of Energy and Climate Change). It provides an overview of the various management plans which have been developed for the coastal zone, coastal defence, estuaries, biodiversity and coastal habitats in the SEA3 area of the North Sea. Numerous dynamic processes, both natural and man-made, affect the SEA3 coastline. After reviewing these processes, the report reviews the various coastal initiatives and management strategies which have been established to minimise their detrimental effects. Various coastal fora provide a lead in developing management strategies for the enhancement and protection of the environment in their areas. Plans include European marine site management schemes, shoreline management plans prepared by coastal defence authorities, estuary management plans, coastal habitat management plans and biodiversity action plans.

Assessing how different users of a Marine Protected Area perceive environmental changes can contribute to design management strategies. We assess how locals and tourists perceive environmental changes in the Cap de Creus protected area (NW Mediterranean, Spain). To identify locally perceived changes, we first conducted semistructured interviews with locals (n = 38). Reported environmental changes were then used to construct a survey applied to locals and tourists (n = 427). In semi-structured interviews, environmental changes were the least reported changes compared to economic and social changes and reports of negative environmental changes dominated over reports of positive environmental changes. Overall, all survey participants reported a decline of the health status of the local environment, with locals displaying higher levels of agreement with statements referring to coastal environmental deterioration than tourists. The predominance of responses reporting economic versus environmental changes can be explained by the recent radical transformation of the area towards tourism. Reports of coastal marine area deterioration are in line with available instrumental data. Higher levels of agreement with statements referring to environmental deterioration among locals than among tourists highlight the importance of people’s connection with nature to assess change. Considering that Cap de Creus has been protected for more than two decades, our findings raise concerns regarding its ongoing deterioration and underscore the importance of monitoring the effectiveness of marine protection to modulate management strategies.

Natural and anthropogenic contaminants, pathogens, and viruses are found in soils and sediments throughout the United States. Enhanced dispersion and concentration of these environmental health stressors in coastal regions can result from sea level rise and storm-derived disturbances. The combination of existing environmental health stressors and those mobilized by natural or anthropogenic disasters could adversely impact the health and resilience of coastal communities and ecosystems. This dataset displays the exposure potential to environmental health stressors in the Edwin B. Forsythe National Wildlife Refuge (EBFNWR), which spans over Great Bay, Little Egg Harbor, and Barnegat Bay in New Jersey, USA. Exposure potential is calculated with the Sediment-bound Contaminant Resiliency and Response (SCoRR) ranking system (Reilly and others, 2015) designed to define baseline and post-event sediment-bound environmental health stressors. Facilities obtained from the Environmental Protection Agency’s (EPA) Toxic Release Inventory (TRI) and Facility Registry Service (FRS) databases were ranked based on their potential contaminant hazard. Ranks were based in part on previous work by Olsen and others (2013), literature reviews, and an expert review panel. A 2000 meter search radius was used to identify nearby ranked facility locations.

As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey has started a Wetland Synthesis Project to expand National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to provide federal, state, and local managers with tools to estimate their vulnerability and ecosystem service potential. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. EBFNWR was selected as a pilot study area.

A map service showing the location and coverage of National Ocean Service (NOS) Hydrographic Surveys. The NOS Hydrographic Database (NOSHDB) and Hydrographic Survey Metadata Database (HSMDB), both maintained by NOS and NOAA's National Centers for Environmental Information (NCEI), provide extensive survey coverage and ISO metadata of the coastal waters and Exclusive Economic Zone (EEZ) of the United States and its territories. The NOSHDB contains digitized data from smooth sheets of hydrographic surveys completed between 1837 and 1965, and from survey data acquired digitally on NOS survey vessels since 1965. Data products from NOS surveys, including Bathymetric Attributed Grid (BAG) files, Descriptive Reports, smooth sheet images, survey data images, textual gridded data, and geo-referenced sidescan sonar mosaics, ISO metadata, and survey statistics are available for download from NCEI.This service is available as a dynamic map service and a tiled map service. The tiled map service draws faster, and is visible from global scales, to zoom level 9 (approx. 1:1,200,000 scale).Please see the corresponding NOS Bathymetric Attributed Grid (BAG) shaded relief visualization image service (NOAA GeoPlatform entry). Or view it in a combined map with both shaded relief and survey polygons.Layers available in the map service:Layer 0: Surveys with BAGs available (Bathymetric Attributed Grids).Layer 1: Surveys with digital sounding data available for download (including those with BAGs).Layer 2: Surveys without digital sounding data available for download.Layer 3: Detailed BAG footprints. The NCEI Bathymetric Data Viewer (NOAA GeoPlatform entry) can be used to search and display these data. For more information about NOS Hydrographic Survey data available at NCEI, please see: http://ngdc.noaa.gov/mgg/bathymetry/hydro.html.Also see the NOS Seabed Descriptions from Hydrographic Surveys Map Service.ISO metadata for NOS Hydrographic Survey Collection

This projects primary goal was to provide data on occurrence and abundance of SAV resources within the fresh to saline coastal waters of the northern Gulf of Mexico, and to relate these findings to key environmental variables. The data set provides the collected data from 2013, 2014 and 2015 on site location, discrete water quality, aquatic vegetation cover and biomass by species. The same 384 sites were collected each year, between June and September.

Placentia Bay, on the Southeast coast of Newfoundland formed by the Burin Peninsula on the west and the Avalon Peninsula on the East, has been identified as a Priority Area for Integrated Management Planning. Successful development in this area relies upon an understanding of the health and condition of the Placentia Bay marine and coastal environment, and baseline data to detect changes related to management and external impacts.

To provide scientific data pertaining to the current state of the Placentia Bay, Northeast Avalon Atlantic Coastal Action Program (NAACAP) is conducting a Shoreline Environmental Baseline Program focused on assessing shoreline character and water properties in Placentia Bay. The program design involves sample collection at 8 representative coastal sites in Placentia Bay, 4-times per year, over a 3 1⁄2 -year period from October 2018 to March 2022

This dataset consists of sample descriptions and radiocarbon age data from coastal environments on Montague Island, Alaska, analyzed at the National Ocean Sciences Accelerator Mass Spectrometry Facility.

The USGS, in cooperation with NOAA, is producing detailed maps of the seafloor off southern New England. The current phase of this cooperative research program is directed toward analyzing how bathymetric relief relates to the distribution of sedimentary environments and benthic communities. As part of this program, digital terrain models (DTMs) from bathymetry collected as part of NOAA's hydrographic charting activities are converted into ESRI raster grids and imagery, verified with bottom sampling and photography, and used to produce interpretations of seabed geology and hydrodynamic processes. Although each of the 7 continuous-coverage, completed surveys individually provides important benthic environmental information, many applications require a geographically broader perspective. For example, the usefulness of individual surveys is limited for the planning and construction of cross-Sound infrastructure, such as cables and pipelines, or for the testing of regional circulation models. To address this need, we integrated the 7 contiguous multibeam bathymetric DTMs into one dataset that covers much of Block Island Sound. The new dataset is adjusted to mean lower low water, is provided in UTM Zone 19 NAD83 and geographic WGS84 projections, and is gridded to 4-m resolution. This resolution is adequate for seafloor-feature and process interpretation, but small enough to be queried and manipulated with standard GIS programs and to allow for future growth. Natural features visible in the grid include boulder lag deposits of submerged moraines, sand-wave fields, and scour depressions that reflect the strength of the oscillating tidal currents. Bedform asymmetry allows interpretations of net sediment transport. Together the merged data reveal a larger, more continuous perspective of bathymetric topography than previously available, providing a fundamental framework for research and resource management activities off this portion of the Rhode Island coast. Interpretations were derived from the multibeam echo-sounder data and the ground-truth data used to verify them. For more information on the ground-truth surveys see http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-006-FA

The data support a study that surveyed the spatial distribution of Oncorhynchus mykiss and Cottus aleuticus eDNA in coastal streams of Big Sur, California, 2021-2022 following post-fire debris flows. The metadata represent qPCR quantification cycle (Cq) values for O. mykiss and C. aleuticus assays performed on water samples collected during June and July of 2021 and 2022 from the following streams: Big Creek, Mill Creek, Prewitt Creek, and Willow Creek. The metadata also includes the distance (meters) of each eDNA sample site from the stream mouth, volume of water (Liters) collected for eDNA analysis at each site, and the Y-intercept, slope, and R-squared value for each assay run.

Coastal Monitoring Solutions Market Outlook

The global coastal monitoring solutions market size was valued at USD 2.5 billion in 2023 and is projected to reach USD 5.8 billion by 2032, growing at a CAGR of 9.3% during the forecast period. The primary growth factors driving this market include increased government investments in coastal management, advancements in monitoring technologies, and the rising need for disaster management in coastal regions. The market's expansion is also fueled by the growing awareness of environmental protection and sustainable coastal development.

One significant growth factor for the coastal monitoring solutions market is the increasing frequency of natural disasters such as hurricanes, tsunamis, and floods. Coastal regions are particularly vulnerable to these events, necessitating robust monitoring systems to predict and manage the impacts effectively. Governments and organizations are increasingly investing in sophisticated monitoring solutions to mitigate the risks associated with these natural hazards. For instance, advanced remote sensing technologies can provide early warnings and real-time data, enabling timely and informed decision-making to minimize damage and loss of life.

Another critical factor propelling market growth is the rising emphasis on environmental conservation. Coastal ecosystems are rich in biodiversity and play a crucial role in maintaining ecological balance. However, these ecosystems are under constant threat from human activities such as industrialization, urbanization, and pollution. Coastal monitoring solutions provide valuable data for environmental assessment and management, helping stakeholders implement effective conservation strategies. The adoption of Geographic Information Systems (GIS) and other advanced technologies facilitates detailed mapping and analysis of coastal areas, further driving market demand.

The market is also benefiting from technological advancements and innovations. The advent of Internet of Things (IoT) devices, drones, and autonomous underwater vehicles (AUVs) has revolutionized coastal monitoring. These technologies enable continuous and precise monitoring of coastal parameters, offering real-time data and insights. Additionally, the integration of artificial intelligence (AI) and machine learning (ML) algorithms enhances data analysis capabilities, providing predictive analytics and trend forecasting. Such technological advancements are expected to drive the growth of the coastal monitoring solutions market significantly.

Marine Monitoring Systems play a pivotal role in the coastal monitoring solutions market by providing comprehensive insights into marine environments. These systems are crucial for tracking oceanographic conditions, such as wave heights, currents, and water temperatures, which are essential for maritime safety and environmental conservation. By integrating advanced sensors and communication technologies, Marine Monitoring Systems offer real-time data that supports decision-making in various applications, including marine operations and environmental monitoring. The growing emphasis on sustainable marine resource management and the need to address climate change impacts are driving the demand for these systems. As a result, Marine Monitoring Systems are becoming an integral component of coastal monitoring strategies, enhancing the ability to protect and manage marine ecosystems effectively.

When considering regional outlook, North America and Europe are expected to hold significant shares in the global coastal monitoring solutions market. This can be attributed to the high adoption of advanced technologies, substantial government funding, and stringent environmental regulations in these regions. The Asia-Pacific region is anticipated to witness the highest growth rate, driven by increasing investments in coastal infrastructure development and a rising focus on disaster management. Latin America, the Middle East, and Africa are also expected to show steady growth due to ongoing coastal development projects and the need for efficient environmental monitoring.

Component Analysis

The coastal monitoring solutions market can be segmented by component into hardware, software, and services. The hardware segment comprises various devices and equipment used for monitoring coastal environments, such as sensors, drones, and remote sensing instruments. This segment is expected to see substantial growth due to the increasing demand for advanced

This dataset is from a review on the knowledge status of contamination and the effects of contaminants on the biota of Brazilian coastal ecosystems. The spreadsheet contains the list of reviewed publications and the information extracted from each publication

Hydrographic data (multibeam or singlebeam) and estuary-river bed imagery (side-scan) collected to identify river-bed hazards in targeted sections of 13 New South Wales (NSW) coastal rivers/estuaries following significant 2021-22 flood events for the state's Environment Protection Authority. Surveys were completed under contract by two commercial survey companies Hydrographic & Cadastral Survey (H&C) and SandMap, during 2022-23 as primarily target detection with hydrographic depth determination for safety of navigation, a secondary requirement. SandMap surveys covered sections of the Bellinger-Kalang, Clarence, Nambucca, Richmond, Tweed and Wilson rivers. H&C Survey surveys covered sections of Woronora, Shoalhaven, Camden Haven, Hastings, Macleay, Manning and Hawkesbury rivers. Surveys were completed to identify the location of potential in-river navigational hazards and/or potential sources of environmental harm or pollution following significant flood events within NSW 2021 and 2022. Although the vertical and horizontal precision and accuracy is expected to be high, the user should understand how the data are collected and the horizontal and vertical uncertainties inherent in the data and products (see reports). The data provided here are deemed 'Not for Navigation'. Funding was provided under the joint Commonwealth-State Disaster Recovery Funding Arrangements for the flood recovery program and survey contracts were awarded following a tender process. Final data packages, output products and survey reports were provided by end of the financial year 2022-23 and have been backed up on DPE Environment and Heritage groups Science Data Compute facility.