SHP
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La Financière Agricole's collective crop insurance for cereals and fodder maize covers the loss of quantity and quality. The assessment of losses is carried out collectively for all agricultural businesses in the same geographical area.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Following the merger of the Duplessis and Manicouagan regions under the new name Côte-Nord, Quebec now has 21 tourist regions. The delimitation of regions is based on an unofficial division and is provided by Tourisme Québec. The boundaries were made using municipalities or MRCs.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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The Database of Declared Agricultural Parcels and Productions (BDPPAD) consists of polygons in vector format representing the outline of agricultural plots that have been associated with the files of clients of La Financière Agricole du Québec (FADQ) since 2003. The plots are kept from year to year to constitute a bank of plots covering as much territory as possible, whether the associated customer is active or not. For each insurance year, agricultural production is associated with the plots that active customers declare to cultivate.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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La Financière Agricole du Québec service centers and counters.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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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.
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CanCoast is a geospatial database of the physical characteristics of Canada's marine coasts. It includes both feature classes that are not expected to change through time, and feature classes that are expected to change as climate changes. CanCoast includes: wave-height change with sea ice (early and late 21st century); sea-level change (early and late century); ground ice content; coastal materials; tidal range; and backshore slope. These are mapped to a common high-resolution shoreline and used to calculate indices that show the coastal sensitivity of Canada's marine coasts in modelled early and late 21st century climates.
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Every year, since 1967, the Ministère des Forêts, de la Faune et des Parcs (MFFP) has been conducting an aerial survey of damage caused by the main insects and diseases that attack trees. This fact sheet focuses exclusively on data concerning damage caused by hemlock looper. The data is updated annually only in case damage is observed. The aerial survey is carried out in sectors previously determined according to the damage of the previous year, the results of inventories to predict the populations of this insect and the observations reported in the forest.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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CanCoast is a geospatial database of the physical characteristics of Canada's marine coasts. It includes both feature classes that are not expected to change through time, and feature classes that are expected to change as climate changes. CanCoast includes: wave-height change with sea ice (early and late 21st century); sea-level change (early and late century); ground ice content; coastal materials; tidal range; and backshore slope. These are mapped to a common high-resolution shoreline and used to calculate indices that show the coastal sensitivity of Canada's marine coasts in modelled early and late 21st century climates.
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CanCoast is a geospatial database of the physical characteristics of Canada's marine coasts. It includes both feature classes that are not expected to change through time, and feature classes that are expected to change as climate changes. CanCoast includes: wave-height change with sea ice (early and late 21st century); sea-level change (early and late century); ground ice content; coastal materials; tidal range; and backshore slope. These are mapped to a common high-resolution shoreline and used to calculate indices that show the coastal sensitivity of Canada's marine coasts in modelled early and late 21st century climates.
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Harbour seals reside throughout the year around Newfoundland and Labrador (NL). The first systematic survey for harbour seals occurred along the NL Shelf during July and August 2021 to obtain counts of hauled out individuals and assess distribution. Grey seals are seasonal residents in NL, mainly present in the summer and autumn months. Grey seals were also recorded during the survey as these two species can share haul-out locations. Surveys were flown along the coastline with a Bell 429 helicopter with photographs taken of hauled out seals. This data includes the counts of hauled out harbour, grey and unknown seals seen during the survey. Adjusted counts are also provided, which assign the unknown seals to species based on the number of positively identified harbour and grey seals from each survey day. The realized survey coverage (survey tracks) is also included. Cite this data as: Hamilton, C.D., Goulet, P.J., Stenson, G.B., and Lang, S.L.C. 2024. Data of: Counts of harbour seals (Phoca vitulina) and grey seals (Halichoerus grypus) from an aerial survey of the coast of the Newfoundland Shelf and Sandwich Bay, Labrador during the summer of 2021 This data can be found in: Hamilton, C.D., Goulet, P.J., Stenson, G. B., and Lang, S.L.C. 2023. Counts and spatial distribution of harbour seals (Phoca vitulina) and grey seals (Halichoerus grypus) from an aerial survey of the coast of the Newfoundland Shelf and Sandwich Bay, Labrador during the summer of 2021. Can. Tech. Rep. Fish. Aquat. Sci. 3566: v + 39 p. https://publications.gc.ca/site/eng/9.927831/publication.html DFO. 20XX. Stock assessment of Atlantic harbour seals (Phoca vitulina vitulina) in Canada for 2019-2021. DFO Can. Sci. Advis Sec. Sci. Advis. Rep. 2023/XXX. Lang, S.L.C., St-Pierre, A.P., Hamilton, C.D., Mosnier, A., Lidgard, D.C., Goulet, P., den Heyer, C.E., Bordeleau, X., Irani, A.I., and Hammill, M.O. 20XX. Population status assessment and Potential Biological Removal (PBR) for the Atlantic harbour seal (Phoca vitulina vitulina) in Canadian waters. DFO Can. Sci. Advis. Sec. Res. Doc. 2024
Arctic SDI catalogue