**CHS NONNA Data Portal was last updated: March 30, 2025 ** The Canadian Hydrographic Service (CHS) offers a complete inventory of bathymetric data free to the general public for non-navigational use called 'CHS NONNA' for the 'NON-NAvigational' purpose of the data. The product is available in a spatial resolution of 10 metres or 100 metres. To directly access the CHS NONNA Data Portal please follow this link - https://data.chs-shc.ca/login (Note: The data portal is NOT compatible with Internet Explorer browser). Terms of Use The Canadian Hydrographic Service (CHS) NONNA Data products are for NON-NAVIGATIONAL USE ONLY. Please see the Open Data Licence below and the CHS NONNA LICENCE viewable on https://data.chs-shc.ca/login and downloadable with the NONNA data, for the full terms and conditions governing the use of this data. ----- PRODUCT DESCRIPTION ----- The CHS NONNA-10 NONNA-100 and NONNA Package Bathymetric Data products represent a consolidation of digital bathymetric sources managed by the CHS in Canadian jurisdiction. The « NONNA » refers to NON-NAvigational. The « 10 » or « 100 » references the approximate resolution (in metres) of the data. NONNA Packages A NONNA Package is a ZIP file containing a collection of NONNAP datasets to ease the download of large amounts of high resolution data. Packages are currently available for data sources of approximately 10 metre resolution. The «P10 » refers to the Packages and approximate resolution (in metres) of the data. The CHS NONNA-10 individual product coverage (resolution) is as follows: • South of 68°N the products = 0.1° latitude X 0.1° longitude (0.0001 degrees) • 68°N-80°N the products = 0.1° latitude X 0.2° longitude (0.0002 degrees) • 80°N and north the products = 0.1° latitude X 0.4° longitude (0.0004 degrees) The CHS NONNA-100 individual product coverage (resolution) is as follows: • South of 68°N the products = 1° latitude X 1° longitude (0.001 degrees) • 68°N-80°N the products = 1° latitude X 2° longitude (0.002 degrees) • 80°N and north the products = 1° latitude X 4° longitude (0.004 degrees) The CHS NONNA-P10 Packages are ZIP files that contain product coverage (resolution) defined as: • South of 68°N the products = 1° latitude X 1° longitude (0.0001 degrees) • 68°N-80°N the products = 1° latitude X 2° longitude (0.0002 degrees) • 80°N and north the products = 1° latitude X 4° longitude (0.0004 degrees) ----- DATUM ----- All CHS NONNA data sources are horizontally referenced to the World Geodetic System 1984 (WGS84) ESPG:4326 and vertically referenced to Chart Datum (CD), a tidal or water level datum that is locally derived and, of which, the depth of water should seldom fall below. For more information on vertical references visit: https://tides.gc.ca/tides/en/vertical-datum-chart-references ----- DATA PRESENTATION ----- CHS NONNA products adhere to the following naming convention: NONNAXXX_SouthwestCorner Example: NONNAP10_4360N07940W • NONNAP10 = the product NONNAP10 • 4360N07940W = the southwest corner of the NONNA cell. These products are available to view, query and download via the CHS NONNA Data Portal. The following formats are available for download: • 32-bit GeoTIFF • ASCII++ (XYZ) • CSAR • BAG These formats can be opened using various GIS applications. Alternatively, the CHS NONNA products can be accessed via Web Map Service (WMS), Web Coverage Service (WCS) or Web Map Tile Service (WMTS) links: WMS https://nonna-geoserver.data.chs-shc.ca/geoserver/wms?request=GetCapabilities WMTS https://nonna-geoserver.data.chs-shc.ca/geoserver/gwc/service/wmts?request=GetCapabilities WCS https://nonna-geoserver.data.chs-shc.ca/geoserver/wcs?request=GetCapabilities Note Gaps in the data may be visible where modern surveys have not yet been conducted, the data is not updated to Chart Datum (CD) or where legacy data has not yet been digitized. In addition, there may be data sources removed from the Data Portal for further processing in the CHS’ Bathymetric Database, and will not be available until such work is complete. Data sources included in the NONNA products may not have been subjected to the same level of quality assurance as those in official navigational products. Help New users of the CHS NONNA Data Portal are encouraged to fully review the 'CHS NONNA Data Portal Guidance Document' (PDF) which is available below in the RESOURCES section of this page.

Planning Department Commercial and Residential Permits

The purpose of this map service is to provide progress updates on NOAA and CHS transboundary ENCs. The extents (footprints) of all NOAA ENCs are based on reschemed layout.

This layer depicts land cover classes that are suitable for Wedge-tailed Shearwater nesting and colony development within 350 meters of the Molokai coastline. The land cover class data is from the NOAA Office for Coastal Management. More information can be found at https://chs.coast.noaa.gov/htdata/raster1/landcover/bulkdownload/hires/hi/

This data set consists of digital data describing sites under the oversight of Maryland Department of the Environment's (MDE) Land Restoration Program (LRP). Within the LRP, two divisions exist to oversee assessment and remediation of potentially contaminated sites. The State Assessment and Remediation Division includes the Voluntary Cleanup Program (VCP) and CHS Enforcement Sections. The Federal Assessment and Remediation Division includes the Federal IRP Support Section and NPL/Site Assessment section. This dataset describes any VCP applicant or responsible party for the LRP oversight for each site relative to these programs. This layer is intended for use in concert with the LRP Sites layer.This is a MD iMAP hosted service. Find more information on https://imap.maryland.gov.Map Service Link: https://mdewin64.mde.state.md.us/arcgis/rest/services/MDE_LRP/LandRestorationProgram/MapServer/3

Custom tabulations of aggregated survey results at the Ottawa level for 2018 and 2021 were produced by Statistics Canada for the CSWB Plan. The findings in this report are expressed as proportions based on the weighted sum of persons that was calculated by Statistics Canada for each indicator.Date Created: 29/09/2023Update Frequency: As required, by CWSB PlanLast Reviewed: 29/09/2023Accuracy, Completeness, and Known Issues: The CHS is an estimation. The findings in this report are expressed as proportions based on the weighted sum of persons that was calculated by Statistics Canada for each indicator. Substantive differences in results within and between populations are reported across years. The statistical significance of the differences could not be tested because the raw data with sample weights was unavailable to the CSWB team for analysis. Under the advisement of Statistics Canada, some results are accompanied by the dagger symbol (ǂ) to indicate caution when interpreting this number due to reduced data quality resulting from small numbers. Any results that did not meet data quality standards have been suppressed and are not reported.Attributes: year, theme, qid_key, qid, qheader, qsub, socio_group, group, response, num, denom, percentage, qualityannée, thème, qid, qid_clé, qentête, qsous-question, groupe, social, groupe, réponse, nombre, dénominateur, pourcentage, qualitéData Steward: Klaus CumaniData Steward Email: klaus.cumani@ottawa.caDepartment or Agency: Community and Social Services DepartmentBranch/Unit: Community Safety and Well-BeingStrategic Plan Priority: Community Safety and Well-Being (CSWB) Plan

Cette couche cartographique représente et identifie les permanences (jours et horaires) des psychologues issues de la liste des permanences psychologiques organisées par le CHS Albert-Bousquet sur l'ensemble du Territoire et des points d'écoute psychologique de la province Sud.Généalogie :Données issues des mairies et des provinces. Mises à jour au besoin.Source à citer : Gouvernement de la Nouvelle-CalédoniePlus d'informations :Permanences d'Ecoute Psychologique :https://www.province-sud.nc/publication/permanences-ecoute-psychologique-pepsTéléchargement des données :https://georep-dtsi-sgt.opendata.arcgis.com/datasets/f4b5aebfc1ae47289a02f6e78f4c8e33/aboutCe jeu de données provient de la Plateforme de téléchargement Géorep.Pour télécharger directement les données au format souhaité, veuillez cliquer sur les liens ci-dessous:Antennes médico-psychologiques du CHS et permanences d'écoute psychologique - Fiche détaillée Géorep

This service provides routeing measures. These include established (mandatory) direction of traffic flow, recommended direction of traffic flow, separation lines, separation zones, limits of restricted routeing measure, limits of routeing measures, precautionary areas, archipelagic sea lanes (axis line and limit beyond which vessels shall not navigate) and fairways designated by regulatory authority.

This dataset is a contribution to the development of a kelp distribution vector dataset. Bull kelp (Nereocystis leutkeana) and giant kelp (Macrocystis pyrifera) are important canopy-forming kelp species found in marine nearshore habitats on the West coast of Canada. Often referred to as a foundation species, beds of kelp form structural underwater forests that offer habitat for fishes and invertebrates. Despite its far-ranging importance, kelp has experienced a decline in the west coast of North America. The losses have been in response to direct harvest, increase in herbivores through the removal of predators by fisheries or diseases, increase in water turbidity from shoreline development as well as sea temperature change, ocean acidification, and increased storm activates. Understanding these impacts and the level of resilience of different kelp populations requires spatiotemporal baselines of kelp distribution.

The area covered by this dataset includes the BC coast and extends to portions of the Washington and Alaska coasts. This dataset was created using 137 British Admiralty (BA) charts, including insets, with scales ranging from 1:6,080 to 1:500,000, created between 1858 and 1956. All surveys were based on triangulation, in which a sextant or theodolite was used to determine latitude and angles, while a chronometer was used to help determine longitude.

First, each BA chart was scanned by the Canadian Hydrographic Service (CHS) using the CHS Colortrac large format scanner, and saved as a Tagged Image Format at 200 DPI, which was deemed sufficient resolution to properly visualize all the features of interest. Subsequently, the scanned charts were imported into ESRI ArcMap and georeferenced directly to WGS84 using CHS georeferencing standards and principles (charts.gc.ca). In order to minimize error, a hierarchy of control points was used, ranging from high survey order control points to comparing conspicuous stable rock features apparent in satellite imagery.

The georeferencing result was further validated against satellite imagery, CHS charts and fieldsheets, the CHS-Pacific High Water Line (charts.gc.ca), and adjacent and overlapping BA charts. Finally, the kelp features were digitized, and corresponding chart information (scale, chart number, title, survey start year, survey end year, and comments) was added as attributes to each feature.

Given the observed differences in kelp feature representation at different scales, when digitizing kelp features, polygons were used to represent the discrete observations, and as such, they represent presence of kelp and not kelp area. Polygons were created by tracing around the kelp feature, aiming to keep the outline close to the stipe and blades.

The accuracy of the location of the digitized kelp features was defined using a reliability criterion, which considers the location of the digitized kelp feature (polygon) in relation to the local depth in which the feature occurs. For this, we defined a depth threshold of 40 m to represent a low likelihood of kelp habitat in areas deeper than the threshold. An accuracy assessment of the digitized kelp features concluded that 99% of the kelp features occurred in expected areas within a depth of less than 40 m, and only about 1% of the features occurred completely outside of this depth. For more information, visit: https://open.canada.ca/data/en/dataset/bac83470-bc8f-4065-8ef3-bf76463c4ef2

Great Lakes bathymetry has been compiled as a component of a NOAA project to synthesize Great Lakes lake floor geological and geophysical data and make it more accessible to the public. The project is a cooperative effort between investigators at the NOAA National Geophysical Data Center's Marine Geology, Geophysics Division (NGDC/MGG) and the NOAA Great Lakes Environmental Research Laboratory (GLERL) with data development utilizing the entire historic sounding data base. The entire historic hydrographic sounding data base from the U.S. and Canada, originally collected for nautical charting purposes, was used to create a complete and accurate representation of Lake Ontario bathymetry. The U.S. data primarily came from the NOS Hydrographic Survey Data. These and other bathymetric sounding data collected by the U.S. National Ocean Service's (NOS) Coast Survey and the U. S. Army Corps of Engineers was employed to construct bathymetric contours at 1 meter intervals from 1-10 meters depth and 2 meter intervals at depths greater than 10 meters. Compilation map scales ranged from 1:10,000 to 1:50,000. Bathymetric sounding data collected by the Canadian Hydrographic Service (CHS) were employed to construct bathymetric contours at 1 meter intervals and compilation map scales ranging from 1:1,000 to 1:30,000. Digitization of the bathymetric contours and merging of the bathymetric contour data sets was accomplished at the NGDC. Multibeam bathymetric data collected by the University of New Brunswick's Ocean Mapping Group (UNB-OMG), with support of the Geological Survey of Canada (GSC) and the CHS, were kindly made available in gridded form. In the two areas where multibeam bathymetric data were available, no other bathymetric data were used in the compilations. In some areas all available Canadian and U. S. bathymetric sounding data, collected at different times on different survey expeditions, were used to derive the contours. The U.S. coastline used was primarily derived from the GLERL Medium Resolution Vector Shoreline dataset (Lee, 1998). Where move coverage was needed, the NOS Medium Resolution Vector Shoreline for the Conterminous U.S. (1994) dataset was used. Coastlines from the CHS bathymetric sounding data field sheets were used to complete the Canadian coastline. Images were constructed using the publicly-available software Generic Mapping Tools (GMT).

A historic flooding event affected the Carolinas from October 1-5, 2015. A stalled front offshore combined with deep tropical moisture streaming northwest into the area ahead of a strong upper level low pressure system to the west and Hurricane Joaquin well to the east. This led to historic rainfall with widespread amounts of 15-20 inches and localized amounts over 25 inches, mainly in the Charleston tri-county area. Flash flooding was prevalant and led to significant damage to numerous properties and roads and many people having to be rescued by emergency personnel. In addition, tides were high due to the recent perigean spring tide and persistent onshore winds, excacerbating the flooding along the coast, especially in downtown Charleston. For more info, visit https://www.weather.gov/chs/HistoricFlooding-Oct2015

This webmap was created for use with the USCHC Transboundary Web App.The USCHC Transboundary web application is an aid for determining and tracking national maritime charting responsibilities. The application displays current Canadian (CHS) and future United States (NOAA) electric navigational chart (ENC) products by usage band. The nation and extent of responsibility is symbolized using hollow and translucent areas. Single-agency responsibility (where one nation maintains coverage on both sides of the boundary) is indicated by a translucent fill. Split coverage (where each nation’s coverage ends at the boundary) is indicated by a hollow fill.Data can be found at https://gis.charttools.noaa.gov/arcgis/rest/services/USCHC/US_Canada_Transboundaries/MapServer.US /Canada Hydrographic Commission (USCHC) is a commission under the International Hydrographic Organization (IHO) - more details can be found at https://iho.int/en/us/canada-hc-0.

Marine Beach Forecast Summary Web Service provides beach and surf zone information, which includes forecasts of swim risk, rip currents, outlet currents, channel currents, waves, weather, water temperature, links to local radar, ultraviolet index, surf height, max temperature and beach preparedness/safety information within a Weather Forecast Office’s (WFO’s) forecast area. This web service is designed for beach goers to easily view beach/surf zone forecasts and hazard information provided by WFOs. Surf Forecasts includes Beaches, Rip Current Risk, Surf Height, UV Index Risk, Water Temperature Weather Forecast, High Temperature, Winds and Tides (High and Low Times). This web service provides Beach Forecasts for the Great Lakes, Gulf of Mexico, some of the US territories and US Beaches along the Atlantic and Pacific Oceans.Swim Risk - Swim risk is the risk based on the threat of high waves, dangerous currents, and other hazardous conditions of the water. Beach hazard statements provide additional details on high swim risk days. Some of these risk include outlet currents, channel currents,longshore currents, structural currents and cold water.Rip Currents - Rip currents are powerful, channeled currents of water flowing away from shore. They typically extend from the shoreline, through the surf zone, and past the line of breaking waves. Rip currents can occur at any beach with breaking waves.Winds- includes wind direction, and speed.Swim Risk Levels Collected Great LakesLow- The risk to swimmers is low, however, life threatening conditions may still occur especially near groins, jetties, reefs, and piers. Always swim near a lifeguard and remember to heed the advice of the local beach patrol and flag warning systems.Moderate- Life threatening conditions to swimmers are possible. Always swim near a lifeguard and remember to heed the advice of the local beach patrol and flag warning systems.High- Life threatening conditions are likely. Water conditions are dangerous for all levels of swimmers. Stay out of the water. Remember to heed the advice of the local beach patrol and flag warning systems.Rip Current Risk Levels Collected(Non-Great Lakes)Low- The risk of rip currents is low, however, life threatening rip currents may still occur especially near groins, jetties, reefs, and piers. Always swim near a lifeguard and remember to heed the advice of the local beach patrol and flag warning systems.Moderate- Life threatening rip currents are possible. Always swim near a lifeguard and remember to heed the advice of the local beach patrol and flag warning systems.High- Life threatening rip currents are likely. The surf zone is dangerous for all levels of swimmers. Stay out of the water. Remember to heed the advice of the local beach patrol and flag warning systems.Ultraviolet(UV) Index Scale Risk Levels CollectedLow Risk - UV Index Scale of 2 or less. Low danger from the sun's UV rays for the average person. Wear sunglasses on bright days. If you burn easily, cover up and use sunscreen.Moderate Risk - UV Index Scale of 3 - 5. Moderate risk of harm from unprotected sun exposure. Take precautions, such as covering up, if you will be outside. Stay in shade near midday when the sun is strongest.High Risk - UV Index Scale of 6 - 7. High risk of harm from unprotected sun exposure. Protection against sunburn is needed. Reduce time in the sun between 10 a.m. and 4 p.m. Cover up, wear a hat and sunglasses, and use sunscreen.Very High Risk - UV Index Scale of 8 - 10. Very high risk of harm from unprotected sun exposure. Take extra precautions. Unprotected skin will be damaged and can burn quickly. Minimize sun exposure between 10 a.m. and 4 p.m. Otherwise, seek shade, cover up, wear a hat and sunglasses, and use sunscreen.Extreme Risk - UV Index Scale of 11 or greater. Extreme risk of harm from unprotected sun exposure. Take all precautions. Unprotected skin can burn in minutes. Beachgoers should know that white sand and other bright surfaces reflect UV and will increase UV exposure. Try to avoid sun exposure between 10 a.m. and 4 p.m. Seek shade, cover up, wear a hat and sunglasses, and use sunscreen.Update Frequency: Every 20 minutesLinks to graphical web pages:Experimental Beach Forecast Graphical Page: https://www.weather.gov/beach/Beach Forecast Graphical Experience: https://experience.arcgis.com/experience/4403e4e108914ab39b1eaf04a6fafd36Link to metadataLinks to data downloads (geo-json):https://www.weather.gov/source/apx/beachforecast/APX_GIS_day1.jsonhttps://www.weather.gov/source/apx/beachforecast/APX_GIS_day2.jsonhttps://www.weather.gov/source/akq/beachforecast/AKQ_GIS_day1.jsonhttps://www.weather.gov/source/akq/beachforecast/AKQ_GIS_day2.jsonhttps://www.weather.gov/source/buf/beachforecast/BUF_GIS_day1.jsonhttps://www.weather.gov/source/buf/beachforecast/BUF_GIS_day2.jsonhttps://www.weather.gov/source/box/beachforecast/BOX_GIS_day1.jsonhttps://www.weather.gov/source/box/beachforecast/BOX_GIS_day2.jsonhttps://www.weather.gov/source/bro/beachforecast/BRO_GIS_day1.jsonhttps://www.weather.gov/source/bro/beachforecast/BRO_GIS_day2.jsonhttps://www.weather.gov/source/car/beachforecast/CAR_GIS_day1.jsonhttps://www.weather.gov/source/car/beachforecast/CAR_GIS_day2.jsonhttps://www.weather.gov/source/chs/beachforecast/CHS_GIS_day1.jsonhttps://www.weather.gov/source/chs/beachforecast/CHS_GIS_day2.jsonhttps://www.weather.gov/source/cle/beachforecast/CLE_GIS_day1.jsonhttps://www.weather.gov/source/cle/beachforecast/CLE_GIS_day2.jsonhttps://www.weather.gov/source/crp/beachforecast/CRP_GIS_day1.jsonhttps://www.weather.gov/source/crp/beachforecast/CRP_GIS_day2.jsonhttps://www.weather.gov/source/dlh/beachforecast/DLH_GIS_day1.jsonhttps://www.weather.gov/source/dlh/beachforecast/DLH_GIS_day2.jsonhttps://www.weather.gov/source/dtx/beachforecast/DTX_GIS_day1.jsonhttps://www.weather.gov/source/dtx/beachforecast/DTX_GIS_day2.jsonhttps://www.weather.gov/source/grb/beachforecast/GRB_GIS_day1.jsonhttps://www.weather.gov/source/grb/beachforecast/GRB_GIS_day2.jsonhttps://www.weather.gov/source/grr/beachforecast/GRR_GIS_day1.jsonhttps://www.weather.gov/source/grr/beachforecast/GRR_GIS_day2.jsonhttps://www.weather.gov/source/gum/beachforecast/GUM_GIS_day1.jsonhttps://www.weather.gov/source/gum/beachforecast/GUM_GIS_day2.jsonhttps://www.weather.gov/source/gyx/beachforecast/GYX_GIS_day1.jsonhttps://www.weather.gov/source/gyx/beachforecast/GYX_GIS_day2.jsonhttps://www.weather.gov/source/hfo/beachforecast/HFO_GIS_day1.jsonhttps://www.weather.gov/source/hfo/beachforecast/HFO_GIS_day2.jsonhttps://www.weather.gov/source/ilm/beachforecast/ILM_GIS_day1.jsonhttps://www.weather.gov/source/ilm/beachforecast/ILM_GIS_day2.jsonhttps://www.weather.gov/source/iwx/beachforecast/IWX_GIS_day1.jsonhttps://www.weather.gov/source/iwx/beachforecast/IWX_GIS_day2.jsonhttps://www.weather.gov/source/jax/beachforecast/JAX_GIS_day1.jsonhttps://www.weather.gov/source/jax/beachforecast/JAX_GIS_day2.jsonhttps://www.weather.gov/source/lot/beachforecast/LOT_GIS_day1.jsonhttps://www.weather.gov/source/lot/beachforecast/LOT_GIS_day2.jsonhttps://www.weather.gov/source/lox/beachforecast/LOX_GIS_day1.jsonhttps://www.weather.gov/source/lox/beachforecast/LOX_GIS_day2.jsonhttps://www.weather.gov/source/mfl/beachforecast/MFL_GIS_day1.jsonhttps://www.weather.gov/source/mfl/beachforecast/MFL_GIS_day2.jsonhttps://www.weather.gov/source/mhx/beachforecast/MHX_GIS_day1.jsonhttps://www.weather.gov/source/mhx/beachforecast/MHX_GIS_day2.jsonhttps://www.weather.gov/source/mlb/beachforecast/MLB_GIS_day1.jsonhttps://www.weather.gov/source/mlb/beachforecast/MLB_GIS_day2.jsonhttps://www.weather.gov/source/mkx/beachforecast/MKX_GIS_day1.jsonhttps://www.weather.gov/source/mkx/beachforecast/MKX_GIS_day2.jsonhttps://www.weather.gov/source/mob/beachforecast/MOB_GIS_day1.jsonhttps://www.weather.gov/source/mob/beachforecast/MOB_GIS_day2.jsonhttps://www.weather.gov/source/mqt/beachforecast/MQT_GIS_day1.jsonhttps://www.weather.gov/source/mqt/beachforecast/MQT_GIS_day2.jsonhttps://www.weather.gov/source/okx/beachforecast/OKX_GIS_day1.jsonhttps://www.weather.gov/source/okx/beachforecast/OKX_GIS_day2.jsonhttps://www.weather.gov/source/phi/beachforecast/PHI_GIS_day1.jsonhttps://www.weather.gov/source/phi/beachforecast/PHI_GIS_day2.jsonhttps://www.weather.gov/source/sgx/beachforecast/SGX_GIS_day1.jsonhttps://www.weather.gov/source/sgx/beachforecast/SGX_GIS_day2.jsonhttps://www.weather.gov/source/tae/beachforecast/TAE_GIS_day1.jsonhttps://www.weather.gov/source/tae/beachforecast/TAE_GIS_day2.jsonhttps://www.weather.gov/source/tbw/beachforecast/TBW_GIS_day1.jsonhttps://www.weather.gov/source/tbw/beachforecast/TBW_GIS_day2.jsonQuestions/Concerns: about the service, please contact the DISS GIS teamTime Information: This service is not time enabled.

A historic flooding event affected the Carolinas from October 1-5, 2015. A stalled front offshore combined with deep tropical moisture streaming northwest into the area ahead of a strong upper level low pressure system to the west and Hurricane Joaquin well to the east. This led to historic rainfall with widespread amounts of 15-20 inches and localized amounts over 25 inches, mainly in the Charleston tri-county area. Flash flooding was prevalant and led to significant damage to numerous properties and roads and many people having to be rescued by emergency personnel. In addition, tides were high due to the recent perigean spring tide and persistent onshore winds, excacerbating the flooding along the coast, especially in downtown Charleston. For more info, visit https://www.weather.gov/chs/HistoricFlooding-Oct2015