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We have found 125 datasets for the keyword "shoreline". You can continue exploring the search results in the list below.
Datasets: 104,589
Contributors: 42
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125 Datasets, Page 1 of 13
Fishing access points
Examples include: * shoreline access * enhanced shoreline access (with a dock or pier) * boat launches This data was created to be used as part of the Fish ON-Line mapping application.
Shorezone Shoreunit Break Points
A layer of points which delinate a change in shoreline type
Shoreline Status along the Southern Georgian Bay Shoreline 2006-2008
A synthesis of available background data on the types and extent of anthropogenic disturbances on this shoreline as a well as to understand the types and amount of remaining natural shoreline features.
Okanagan Lake Reach Breaks
Set of arbitrary location points, usually set at landmarks (definable points on the lake shoreline such as shoreline points, docks, houses etc) to break the lake into identifiable areas to help fish counting crews to identify where they are on the lake
Lake Simcoe shoreline inventory
This dataset was created to: * better understand the state of the shoreline * track changes over time * identify priority areas for restoration The dataset provides important information for fish and wildlife habitat assessments. This includes identification of significant fish and wildlife areas and habitats like wetlands, woodlands, spawning habitat and biological productive areas. The dataset contains 2 spatial files: * a vector linear layer representing shoreline reaches * another vector polygon layer capturing shoreline and near-shore structures
A Video, Sidescan and Echosounder Survey of Nearshore Halifax Harbour
A novel towfish incorporating sidescan and video hardware was used to ground truth echosounder data for the nearshore of Halifax Harbour. The resulting sampling grid extended from the shoreline to a depth of 10 m, including Bedford Basin through the Inner Harbour to the Outer Harbour. Each of these three zones could be distinguished from the others based upon combinations of substrate type, benthic invertebrates, and macrophyte canopy. Bedford Basin had a relative lack of macrophytes and evidence of intense herbivory. The Inner Harbour was characterized by shoreline hardening due to anthropogenic activities. The Outer Harbour was the most “natural” nearshore area with a mix of bottom types and a relatively abundant and diverse macrophyte canopy. All survey data were placed into a GIS, which could be used to answer management questions such as the placement and character of habitat compensation projects in the harbour. Future surveys utilizing similar techniques could be used to determine long term changes in the nearshore of the harbour.Cite this data as: Vandermeulen H. Data of: A Video, Sidescan and Echosounder Survey of Nearshore Halifax Harbour. Published: September 2021. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/9122c3e2-3cfc-45d0-ac36-aecb306130f6
FRR - Characterization of agricultural shoreline strips — Aggregate results - GéoMONT 2020
The characterization of shoreline strips was carried out on 400 km of agricultural watercourses for the territory of 5 MRCs in Montérégie (Beauharnois-Salaberry, Haut-Richelieu, Jardins-de-Napierville, Jardins-de-Napierville, Marguerite-d'Youville, Vallée-du-Richelieu). The results obtained by photo-interpretation, based on the width of the sections of shoreline strips calculated from the high-water line and the embankment, were aggregated to produce global results by municipality. The project was carried out as part of the Regional Program for the Acquisition of Data on Wetlands and Water Environments (PRADMHH) and was funded by the Regions and Rurality Fund (FRR) of the Montérégie regional department of the MAMH.Criteria used to characterize the conformity of shoreline strips.Shoreline compliance (Criteria used according to the width of the shoreline)Non-compliant (The non-compliant shoreline has a total width of less than 3 meters)Nearly compliant (The nearly-compliant shoreline has a total width of 3 meters or more, but less than 1 meter wide on the embankment)Compliant (The compliant shoreline has a total width of three meters or more and a width of a minimum of one meter on the embankment)Exceptional (The exceptional shoreline has a total width of 5 meters or more and a width of 3 meters or more from the embankment)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Land Cover - 50k - Canvec
Land Features entities are: Island, Shoreline, Wooded Area, Saturated soil, Landform Feature (esker, sand\...), and Cut Line. CanVec is a digital cartographic reference product of Natural Resources Canada (NRCan). It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format, and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.).Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
Quality index of the shoreline of benthos monitoring stations
The Riparian Quality Index (IQBR) is used to assess the ecological condition of the shoreline environment. It is built from nine components that have been weighted according to their potential to perform ecological functions in terms of the protection of aquatic ecosystems.Data on shoreline quality come from benthos monitoring stations sampled between 2003 and 2023.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Shoreline mapping vector data in regions along Canada's north coast, based on low-altitude helicopter videography in support of environmental emergency preparedness efforts
With the changing climate conditions, marine traffic along Canada’s coastal regions has increased over the past couple of decades and the need to improve our state of preparedness for oil-spill-related emergencies is critical. Baseline coastal information, such as shoreline form, substrate, and vegetation type, is required for prioritizing operations, coordinating onsite spill response activities (i.e. Shoreline Cleanup Assessment Technique [SCAT]), and providing information for wildlife and ecosystem management. Between 2010 and 2016, georeferenced high-definition videography and photos were collected for various study sites along the north coast of Canada. The study areas include Beaufort Sea, Mackenzie Delta channels and Banks Island in the western Canadian Arctic and James Bay, Hudson Bay, Nunavik, Resolute Bay, Victoria Strait, Baffin Island and Coronation Gulf in the eastern Canadian Arctic.Data was collected during ice-free and low tide conditions (where applicable) between July and September. Low-altitude helicopter surveys were conducted at each study site to capture video of the shoreline characteristics. In addition to acquiring videography, ground-based observations were recorded in several locations for validation.Shoreline segmentation was then carried out by manual interpretation of the oblique videography and the photos aided by ancillary data. This involved splitting and classifying the shoreline vectors based on homogeneity of the upper intertidal zone. Detailed geomorphological information (i.e. shoreline type, substrate, slope, height, accessibility etc.) describing the upper intertidal, lower intertidal, supratidal and backshore zones was extracted from the video and entered into a geospatial database using a customized data collection form. In addition, biological characteristics like biobands, water features, fauna, human use etc. observed along the coast were recorded.The data was also validated through ground observations (when available) and a second interpreter QA (quality analysis) was performed on each dataset (excluding Nunavik) to ensure high quality and consistency. The final dataset contains segments ranging in length from 150 metres to 2500 metres. In total, from 2010 to 2016, within the 8 study sites, about 16,800 km of shoreline were segmented.
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