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We have found 70 datasets for the keyword " boat launch". You can continue exploring the search results in the list below.
Datasets: 106,031
Contributors: 42
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70 Datasets, Page 1 of 7
Boat ramp
Location of the Repentigny boat launch.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Manitoba Waterbody Entry Points
This point layer dataset contains information on Manitoba waterbody access points including boat launches, overland routes and tunnels.Waterbody Entry Points contains point data primarily of boat launches in Manitoba, but it also includes overland routes and tunnel access to some waterbodies. Each data point has a description of the type of access as well as photos that detail signage and condition of the entry point. The waterbody entry points layer, along with related information, can be found at the Manitoba Lake Information For Anglers app. The project was initiated by Manitoba Wildlife and Fisheries Branch with funding from the Fish and Wildlife Enhancement Fund. Data is provided by Manitoba Wildlife and Fisheries Branch, Swan Valley Sport Fishing and Manitoba Watershed Districts. For additional information visit Manitoba Fisheries. The dataset includes the following fields (Alias (Name): Description) Waterbody ID (WATERBODY_ID): Unique identifier for an individual waterbody. Waterbody Name (WATERBODY_NAME): Name of the waterbody that the entry point belongs to. Entry Type (ENTRY_TYPE): Indicates the type of entry point (e.g. boat launch, tunnel). Photo 1 (PHOTO_1): Link to a photo of the launch/entry point. Photo 2 (PHOTO_2): Link to a photo of the launch/entry point. Photo 3 (PHOTO_3): Link to a photo of the launch/entry point. Long (DD) (LONG_DD): Longitudinal coordinates of the feature in decimal degrees. Lat (DD) (LAT_DD): Latitudinal coordinates of the feature in decimal degrees.
Coastal BC Boat Launches
The locations of coastal British Columbia boat launches. The Coastal BC datasets are circa 2004 and legacy in nature. Caution should be exercised when using this data, as it may not be accurate or complete. There are currently no plans to update.
Manitoba Waterbody Data
This point feature layer contains both general and detailed information on waterbodies in Manitoba which are associated with the Lake Information for Anglers program.The point data contained within this layer represent the centroids of waterbodies in Manitoba. The layer describes a number of different attributes about a waterbody including, where available: average depth, aquatic invasive species information, regulatory links, presence of contours, waterbody specific PDF, fish assessment information, species information and coordinates. The waterbody data layer, along with related information, can be found at the Manitoba Lake Information For Anglers app. The project was initiated by Manitoba Wildlife and Fisheries Branch with funding from the Fish and Wildlife Enhancement Fund. Data is provided by Manitoba Wildlife and Fisheries Branch, Swan Valley Sport Fishing and Manitoba Watershed Districts. For additional information visit Manitoba Fisheries. The dataset includes the following fields (Alias (Name): Description) Waterbody ID (WATERBODY_ID): Unique identifier for an individual waterbody. Waterbody Name (WATERBODY_NAME): Name of the waterbody. Surface Area (km2) (SURFACE_AREA): Surface area of the waterbody in square kilometres. Average Depth (m) (AVERAGE_DEPTH_M): Average depth of a waterbody, if bathymetric data is available. Secchi (SECCHI): Indicates whether data exists for secchi depth in the waterbody (YES/NO). Secchi Depth (m) (SECCHI_DEPTH): Depth in meters of the visibility of a secchi disk. Fishing Division (FISHING_DIVISION): Indicates which fishing division the waterbody centroid is within. Fishing Division Special Area (SPECIAL_AREA): Indicates if the waterbody is within the special walleye areas (A or B). Please refer to the Angling Guide for details. UTM Zone (ZONE): Indicates which UTM zone the waterbody is in. Aquatic Invasive Species (AIS): Indicates the known or unknown presence of aquatic invasive species. Aquatic Invasive Species Control Zone (AIS_CONTROL_ZONE): Indicates which aquatic invasive species control zone a waterbody is within. High Quality Management (HIGH_QUALITY_MANAGEMENT): Indicates whether the waterbody falls under the high quality management angling regulations in Manitoba (TRUE/FALSE). HQM Description (HQM_DESCRIPTION): Indicates the high quality management provisions based on the fishing division the waterbody is in (only applies if the waterbody is a High Quality Management waterbody). Angling Regulations (SPECIAL_REGS): A note to see Manitoba Anglers’ Guide. Anglers' Guide (ANGLING_GUIDE): Contains a link (URL) to the Manitoba Anglers’ Guide. Waterbody Link (PRINTABLE_MAP): Contains a link to a PDF of waterbody contours and lake specific information for waterbodies that have bathymetric data. Boat Launch (BOAT_LAUNCH): Indicates whether the waterbody has a known boat launch (YES/NO). Launch Photo (LAUNCH_PHOTO): Indicates whether there is a launch photo for the waterbody (YES/NO). Boat Launch Photo (BOAT_LAUNCH_PHOTO): Contains a link (URL) that directs users to a photo of the launch. Stocked (STOCKED): Indicates whether the lake has been stocked with fish in the past (TRUE/FALSE). Species (SPECIES): A list of gamefish species that are known to have existed in the waterbody historically. Currently contains no info. Assessment (ASSESSMENT): Indicates whether an assessment PDF is available for the waterbody (YES/NO). Fisheries Assessment Link (FISHERIES_ASSESSMENT_LINK): Contains a link that directs users to a PDF document that contains information about species, fish age demographics, and master angler records. Contours (CONTOURS): Indicates whether contour data exists for the waterbody (YES/NO). Lat (DD) (LAT_DD): Latitudinal coordinates of the representative centroid of the waterbody in decimal degrees. Long (DD) (LONG_DD): Longitudinal coordinates of the representative centroid of the waterbody in decimal degrees.
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.
Kokanee Shore Spawner Data - Okanagan Region
The Okanagan Lake kokanee shore spawner data set is comprised of multiple combined data sets. The historical data sets for the years 1974, 77, 78, 79 and 80 and more recent data sets collected from 2001 to 2016, and 2018. The historical data was derived from information collected in the field and hand drawn onto air photographs. Ministry staff circled Okanagan Lake in a boat one time each year and recorded fish numbers and spawner locations onto air photographs that were digitized in 2006 to make up the historical data set. This data set may not capture the peak reach count for these years. The data collected from 2001 to 2018 was derived from boat counts undertaken along the shoreline of Okanagan, Wood and Kalamalka Lakes. A GPS was used to record shore spawner locations and numbers. Multiple counts were undertaken over the entire spawning cycle and covered the peak spawning period for each year of data provided. The data collected for Christina Lake began in 2003 and ended in 2006. Christina Lake kokanee spawn at night in late December and early January. Kokanee spawning redd locations are available for the 2003/2004 count. Kokanee enumerations were undertaken at night for the 2004/2005 and 2005/2006 seasons and spawning redds were counted at the end of spawning cycle. For these two years there is both spawning and redd count data available.
Terrestrial Ecosystem Mapping - Steam Boat Mtn
Terrestrial Ecosystem Mapping for Steam Boat Mountain in the Rocky Mountain Forest District (ttem_st)
Boat-based Sonar Transect Data in the Southern Gulf of St. Lawrence
PURPOSE:To gather localized high-quality data for mapping eelgrass distribution in bays and estuaries in the Gulf Region of Atlantic Canada.DESCRIPTION:Between 2018 and 2023, a total of 48 coastal sites in New Brunswick (NB), Prince Edward Island (PE), and Nova Scotia (NS) have been fully processed for eelgrass presence/absence and depth information.An additional 18 sites from the same region and time period (2018–2023) have data collected but not yet fully processed for depth and eelgrass classification. These sites will be incorporated into the dataset as processing is completed. PARAMETERS COLLECTED:Geographic coordinates, timestamp, submerged aquatic vegetation presence.NOTES ON QUALITY CONTROL:BioSonics Visual Aquatic was used to process raw dt4 files by delineating the bottom and submerged aquatic vegetation (SAV) heights. Initial delineation of the estuary bottom was performed using an automated algorithm within the software, followed by manual adjustments to refine the delineation as needed. An algorithm was then used to delineate vegetation, which was edited visually by referring to written ground-truthing notes and underwater photos taken with a GoPro underwater camera with GPS capacity. Expert advice within DFO was used to advise the analysts on best practices and subtleties in the echograms. All efforts were made to ensure vegetation mapped was eelgrass, but in some cases, such as where the acoustic response was not clear or ground-truthing notes were lacking, it is possible that other types of SAV were included.The processed data were exported from BioSonics Visual Aquatic aggregating sets of 10 pings that were in very close proximity. Grouped pings with a vegetation canopy height >= 0.1 m were assigned an eelgrass presence (i.e., "EG_Presence") value of "Y", while grouped pings with a height < 0.1 m were assigned a presence value of "N".SAMPLING METHODS:Acoustic data were collected during the summer or early fall season (varies depending on the site) by the Southern Gulf of St. Lawrence Coalition on Sustainability (Coalition-SGSL) in partnership with Fisheries and Oceans Canada (DFO) Gulf Region. At some sites, the Province of New Brunswick's Department of Agriculture, Aquaculture and Fisheries (NBDAAF) also collected data using their boat. BioSonics MX Aquatic Habitat Echosounder units with a single beam (8.7°) 204.8kHz transducer (mounting height varied depending on the boat used) was used for data collection by all parties. Positioning was achieved using the BioSonics internal GPS through 2020, then subsequently an external GPS unit (Hemisphere S631 RTK GPS) was used to improve positioning from 1-2m accuracy to ~20cm when differential was obtained. BioSonics Visual Acquisition software was used to collect the data.USE LIMITATION:This product is provided as-is and has not been accuracy-assessed against other data. Since there were no transect-independent ground-truthing points surveyed, the accuracy of any interpolated surfaces created from this data cannot be known.Not for use without inclusion of full metadata. The data products are supplied "as they stand" and DFO does not guarantee the integrity, the completeness, or the accuracy.There were issues with the internal GPS of the BioSonics unit, and their impact on positional accuracy has yet to be determined. Beginning in 2021, an external, higher precision GPS unit was used to increase accuracy.Use of various boats and surveyors, as well as analysts, can introduce some inconsistencies in the data collection and analysis between sites and years. Site-specific characteristics such as mixed submerged aquatic vegetation can complicate mapping efforts. Shallow areas can also be challenging to delineate accurately since the bottom and/or the vegetation can extend higher than the mounted transducer. In these cases, a best estimate was used by the analyst.Weather conditions such as wind can affect the accuracy of the results, as the transponder may pitch and roll with the boat, while increased sediment in the water can interfere with the signal. Single-beam acoustic data has a very small focus footprint, which varies with depth, so it should not be considered a comprehensive bottom mapping tool. However, it does provide valuable point data that can indicate presence of vegetation, canopy height, relative depth, and ground-truthing for other mapping techniques (e.g. aerial or satellite imagery). For example, at 1 m depth, the 8.6 degree single-beam used for this work has a footprint of approximately 0.0177 square metres, and at 2 m depth that footprint becomes 0.0711 square metres.
Bay Scale Assessment of Eelgrass Beds Using Sidescan and Video - Richibucto 2007
A towfish containing sidescan and video hardware was used to map eelgrass in two shallow northern New Brunswick estuaries. The sidescan and video data were useful in documenting suspected impacts of oyster aquaculture gear and eutrophication on eelgrass. With one boat and a crew of three, the mapping was accomplished at a rate of almost 10 km2 per day. That rate far exceeds what could be accomplished by a SCUBA based survey with the same crew. Moreover, the towfish survey applied with a complementary echosounder survey is potentially a more cost effective mapping method than satellite based remote sensing.Cite this data as: Vandermeulen H. Data of: Bay Scale Assessment of Eelgrass Beds Using Sidescan and Video - Richibucto 2007. Published: October 2017. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/ca7af8ba-8810-4de5-aa91-473613b0b38d
Bay Scale Assessment of Eelgrass Beds Using Sidescan and Video - Shippagan 2007
A towfish containing sidescan and video hardware was used to map eelgrass in two shallow northern New Brunswick estuaries. The sidescan and video data were useful in documenting suspected impacts of oyster aquaculture gear and eutrophication on eelgrass. With one boat and a crew of three, the mapping was accomplished at a rate of almost 10 km2 per day. That rate far exceeds what could be accomplished by a SCUBA based survey with the same crew. Moreover, the towfish survey applied with a complementary echosounder survey is potentially a more cost effective mapping method than satellite based remote sensing.Cite this data as: Vandermeulen H. Data of: Bay Scale Assessment of Eelgrass Beds Using Sidescan and Video - Shippagan 2007. Published: November 2019. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/6454594e-c8f9-41c4-801a-db125b8a8875
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