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We have found 73 datasets for the keyword "cadastre". You can continue exploring the search results in the list below.
Datasets: 103,401
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73 Datasets, Page 1 of 8
Planning Cadastre
PLC - Cadastral and land planning (planningCadastre)Land use. For example, resources describing zoning maps, cadastral surveys, and land ownership.
Local and Regional Greenspaces
This dataset contains spatial and attribute information for local and regional greenspaces in British Columbia. Local and regional greenspaces are municipal or regional district lands designated by local government agencies and managed for public enjoyment, ecosystem or wildlife values. Spatial boundaries were sourced from municipal and regional district web sites, which in some cases provide datasets under Open Government Licence, and in other cases, publicize parks and greenspaces on web maps or pdf maps. Boundaries were edge-matched to the ParcelMap BC cadastre. This spatial layer contains multipart polygons.
Agricultural zone transposed to the Quebec Cadastre
Undertaken several years ago, cadastral renovation now covers a large part of agricultural land. The impact on the Commission's operations is growing, as is for all stakeholders in the field of land management.In order to improve its services, the Commission, in collaboration with the MRCs, has undertaken a project to transpose the boundaries of the agricultural zone to the Quebec Cadastre. The exercise consists essentially in establishing the correspondence between the base of the agricultural zone, i.e. the cadastral compilation at 1:20,000, and the renovated cadastre. The project is not an opportunity to review the boundaries of the agricultural zone on merit.This digital version illustrates to the best of our knowledge the agricultural zone with reference to the Cadastre of Quebec. Although 1:20,000 plans remain the official source for now, the transposed limit is integrated into our geomatic systems and used in the course of our operations.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
SCANFI: the Spatialized CAnadian National Forest Inventory data product
**Attention: there is a new version of this product (SCANFI v2)**SCANFI v2 can be found here: https://doi.org/10.23687/07653869-f303-46c2-a04e-9ab479b73cbfThis data publication contains a set of 30m resolution raster files representing 2020 Canadian wall-to-wall maps of broad land cover type, forest canopy height, degree of crown closure and aboveground tree biomass, along with species composition of several major tree species. The Spatialized CAnadian National Forest Inventory data product (SCANFI) was developed using the newly updated National Forest Inventory photo-plot dataset, which consists of a regular sample grid of photo-interpreted high-resolution imagery covering all of Canada’s non-arctic landmass. SCANFI was produced using temporally harmonized summer and winter Landsat spectral imagery along with hundreds of tile-level regional models based on a novel k-nearest neighbours and random forest imputation method. A full description of all methods and validation analyses can be found in Guindon et al. (2024). As the Arctic ecozones are outside NFI’s covered areas, the vegetation attributes in these regions were predicted using a single random forest model. The vegetation attributes in these arctic areas could not be rigorously validated. The raster file « SCANFI_aux_arcticExtrapolationArea.tif » identifies these zones.SCANFI is not meant to replace nor ignore provincial inventories which could include better and more regularly updated inputs, training data and local knowledge. Instead, SCANFI was developed to provide a current, spatially-explicit estimate of forest attributes, using a consistent data source and methodology across all provincial boundaries and territories. SCANFI is the first coherent 30m Canadian wall-to-wall map of tree structure and species composition and opens novel opportunities for a plethora of studies in a number of areas, such as forest economics, fire science and ecology.**Limitations**1- The spectral disturbances of some areas disturbed by pests are not comprehensively represented in the training set, thus making it impossible to predict all defoliation cases. One such area, severely impacted by the recent eastern spruce budworm outbreak, is located on the North Shore of the St-Lawrence River. These forests are misrepresented in our training data, there is therefore an imprecision in our estimates.2- Attributes of open stand classes, namely shrub, herbs, rock and bryoid, are more difficult to estimate through the photointerpretation of aerial images. Therefore, these estimates could be less reliable than the forest attribute estimates.3- As reported in the manuscript, the uncertainty of tree species cover predictions is relatively high. This is particularly true for less abundant tree species, such as ponderosa pine and tamarack. The tree species layers are therefore suitable for regional and coarser scale studies. Also, the broadleaf proportion are slightly underestimated in this product version.4- Our validation indicates that the areas in Yukon exhibit a notably lower R2 value. Consequently, estimates within these regions are less dependable. 5- Urban areas and roads are classified as rock, according to the 2020 Agriculture and Agri-Food Canada land-use classification map. Even though those areas contain mostly buildings and infrastructure, they may also contain trees. Forested urban parks are usually classified as forested areas. Vegetation attributes are also predicted for forested areas in agricultural regions.**Details on the product development and validation can be found in the following publication:**- Guindon, L., Manka, F., Correia, D.L.P., Villemaire, P., Smiley, B., Bernier, P., Gauthier, S., Beaudoin, A., Boucher, J., and Boulanger, Y. 2024. A new approach for Spatializing the Canadian National Forest Inventory (SCANFI) using Landsat dense time series. Can. J. For. Res. https://doi.org/10.1139/cjfr-2023-0118**Please cite this dataset as:**- Guindon L., Villemaire P., Correia D.L.P., Manka F., Lacarte S., Smiley B. 2023. SCANFI: Spatialized CAnadian National Forest Inventory data product. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, Canada. https://doi.org/10.23687/18e6a919-53fd-41ce-b4e2-44a9707c52dc **The following raster layers are available:**- NFI land cover class values: Land cover classes include Water, Rock, Bryoid, Herbs, Shrub, Treed broadleaf, Treed mixed and Treed conifer- Live aboveground dry tree biomass (tonnes/ha): biomass was derived from total merchantable volume estimates produced by provincial agencies- Height (meters): vegetation height- Crown closure (%): percentage of pixel covered by the tree canopy - Tree species cover (%): estimated as the proportion of the canopy covered by each tree species: - Balsam fir tree cover in percentage (Abies balsamea) - Black spruce tree cover in percentage (Picea mariana) - Douglas fir tree cover in percentage (Pseudotsuga menziesii) - Jack pine tree cover in percentage (Pinus banksiana) - Lodgepole pine tree cover in percentage (Pinus contorta) - Ponderosa pine tree cover in percentage (Pinus ponderosa) - Tamarack tree cover in percentage (Larix laricina) - White and red pine tree cover in percentage (Pinus strobus and Pinus resinosa) - Broadleaf tree cover in percentage (PrcB) - Other coniferous tree cover in percentage (PrcC)
Ministry of Transportation (MOT) Culverts
A Culvert is a pipe (less than 3m in diameter) or half-round flume used to transport or drain water under or away from the road and/or right of way. Culverts that are greater than or equal to 3m in diameter are stored in the MoT Bridge Structure Road Dataset. It is a Point feature
Tree Type - Common Attribute Schema for Forest Resource Inventories
The Common Attribute Schema for Forest Resource Inventories (CASFRI) is a Canadian forest resource inventory data repository. Forest resource inventory datasets in CASFRI are harmonized to a common data model so that data collected by different agencies following different standards can be used together. Participating provincial, territorial and federal government departments and agencies share current and historical map-based forest resource inventory datasets through CASFRI so that their data are available to users who’s areas of interest span multiple jurisdictions. CASFRI was originally developed by academic researchers (Cumming et al., https://doi.org/10.1139/cjfr-2014-0102). This flavour of CASFRI (CASFRIv5) was developed anew in collaboration with academic researchers at the University of Laval to provide a government version of CASFRI that is findable, accessible, interoperable, and reusable. It uses the most up-to-date forest inventory data provided by participating provincial, territorial, and federal government departments and agencies. CASFRIv5 is hosted on the Canadian Council of Forest Ministers’ data portal, the National Forest Information System (http://nfis.org).
Dominant Genus - Common Attribute Schema for Forest Resource Inventories
The Common Attribute Schema for Forest Resource Inventories (CASFRI) is a Canadian forest resource inventory data repository. Forest resource inventory datasets in CASFRI are harmonized to a common data model so that data collected by different agencies following different standards can be used together. Participating provincial, territorial and federal government departments and agencies share current and historical map-based forest resource inventory datasets through CASFRI so that their data are available to users who’s areas of interest span multiple jurisdictions. CASFRI was originally developed by academic researchers (Cumming et al., https://doi.org/10.1139/cjfr-2014-0102). This flavour of CASFRI (CASFRIv5) was developed anew in collaboration with academic researchers at the University of Laval to provide a government version of CASFRI that is findable, accessible, interoperable, and reusable. It uses the most up-to-date forest inventory data provided by participating provincial, territorial, and federal government departments and agencies. CASFRIv5 is hosted on the Canadian Council of Forest Ministers’ data portal, the National Forest Information System (http://nfis.org).
Ministry of Transportation (MOT) Sign
A Sign is a lettered board, message or other display which includes all regulatory, warning, guide, informational, advisory, construction and maintenance and route markers, but excluding electronically controlled messages/displays. It is a Point feature
CPTAQ decisions
The decisions come from applications for authorization submitted under the Act Respecting the Protection of Land and Agricultural Activities (LPTAA L.R.Q., c. P-41.1) relating to:- the inclusion or exclusion of lots in the agricultural zone;- the establishment or expansion of uses other than agricultural uses;- the subdivision or alienation of lots or parts of lots;- the exploitation of protected agricultural resources (maple cutting, removal of arable soil) and other resources (water extraction, quarry, gravel pit, sand pit and mine).o Applications for authorization under the Act Respecting the Acquisition of Agricultural Lands by Non-Residents(LATANR, L.R.Q., C.a-4.1) are also included in the decisions.o Some decisions made by the Commission were contested before the Tribunal.administrative department of Quebec, territory and environment section. The decisions of the Administrative Tribunal ofQuebec can be appealed before the courts.· Source of decisionso The reference documents that served as the basis for the digitization of decisions are: the basis fortopographic data of Quebec (BDTQ) at a scale of 1:20,000, the cadastral compilation at the scale1:20,000, the Quebec Cadastre, orthophotos and various plans.· Warnings and limitationso The digital mapping of decisions resulting from applications for authorization constitutes aworking document and not an exhaustive map. In fact, some may be absent orare represented as points due to the lack of information or location maps.o With the progress of cadastral renovation, more and more territories in agricultural areas aredependent on the new cadastre. The renovated cadastre has the advantage of being more precise and betterstructured as the cadastral compilation. On the other hand, you should know that several decisions have beenrendered and mapped on the cadastral compilation. Therefore, in order to limit the risksIf there is a misinterpretation, refer to the text of the decision as well as to the attached plan the casenecessary to validate the positioning if necessary.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Cadastral Information for Samiajij Miawpukek
This data provides the integrated cadastral framework for the specified Canada Land. The cadastral framework consists of active and superseded cadastral parcel, roads, easements, administrative areas, active lines, points and annotations. The cadastral lines form the boundaries of the parcels. COGO attributes are associated to the lines and depict the adjusted framework of the cadastral fabric. The cadastral annotations consist of lot numbers, block numbers, township numbers, etc. The cadastral framework is compiled from Canada Lands Survey Records (CLSR), Registration Plans (RS) and Location Sketches (LS) archived in the Canada Lands Survey Records.
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