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We have found 169 datasets for the keyword "human-footprint". You can continue exploring the search results in the list below.
Datasets: 105,253
Contributors: 42
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169 Datasets, Page 1 of 17
Interior Habitat Indicator for Alberta
Alberta Environment and Protected Areas developed an Interior habitat indicator for the province of Alberta. The indicator is the percentage area outside of a set distance from human footprint, and can be calculated for the entire province or a specific area where human footprint data are available. This dataset provides values for all Hydrologic Unit Code 8 (HUC 8) watersheds in Alberta for 2010, 2014, 2016 and 2018. The distance at which an area was considered interior habitat was estimated using rounded buffers from the edges of the wall-to-wall Human Footprint Inventories produced by the Alberta Biodiversity Monitoring Institute (ABMI).
Building Footprints
Dataset of building footprints in the Yukon Territory. Building footprints were extracted from LiDAR orthophotos using deep learning. Manual corrections were applied to both erroneous and missed building extractions. The Regularize Building Footprint tool was used to reduce vertices and simplify the footprints. A tolerance of 1 was used, with a precision of 0.25.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)
Alberta Human Footprint Monitoring Program (AHFMP) - Footprint Sublayers - Circa 2014 & 2016
The Alberta Human Footprint Monitoring Program (AHFMP) is collaboration between the following organizations: Alberta Environment and Parks (AEP) The Alberta Biodiversity Monitoring Institute (ABMI) Alberta Agriculture and Forestry (AAF) Alberta Energy Regulator (AER) Alberta Energy (AE) Various non-government organizations. The goal of the AHFMP is to improve the accuracy of the human footprint data and to focus expertise from the various organizations on a single footprint product. Currently AEP and ABMI co-lead the program. The AHFMP stratifies footprint features into footprint sublayers based on logical groupings. Roads, oil and gas well pads, rail lines, gravel pits, agriculture fields are examples of sub layers. Where possible, the AHFMP will obtain features for these sub layers directly from authoritative sources. In some of these cases the data authority are responsible for the distribution of the sub-layer. Only when the features are not available from an authoritative source will the AHFMP create their own data. When this occurs, the AHFMP will work with subject matter experts (SMEs) from various organizations to ensure the features are digitized and attributed correctly. AEP has completed the following sub-layers in collaboration with ABMI and Alberta Energy. These are available for public use: Oil and Gas Well Pads (conventional and in situ) for 2014 and 2016 Road verges, surfaces and centre lines for 2014 only. Pipeline verges and centre lines for 2016. Other sub-layers will be added as they are completed. ABMI is also working on numerous sub layers that are available on their website.
Cumulative impacts from anthropogenic activities and stressors on marine ecosystems in Pacific Canada
Fisheries and Oceans Canada has conducted a cumulative human impact mapping analysis for Pacific Canada to support ongoing Marine Spatial Planning. Cumulative impact mapping (CIM) combines spatial information on human activities, habitats, and a matrix of vulnerability weights into an intuitive relative ‘cumulative impact score’ that shows where cumulative human impacts are greatest and least. To map cumulative impacts, a recently developed ecosystem vulnerability assessment for Pacific Canadian waters (Murray et al. 2022) was combined with spatial information on thirty-eight (38) different habitat types and forty-five (45) human activities following the methodology from Halpern et al.(2008) and Murray et al. (2015). The cumulative impact map is provided in a 1x1 km grid used for oceans management by Fisheries and Oceans Canada. For further information, please contact the data provider.
Castle Region Linear Footprint
This is a linear footprint dataset for the Castle region of Alberta. This dataset was created to support spatial analyses of linear footprints in the Castle region for the Alberta Environment and Parks report entitled 'Ecological Response to Human Activities in Southwestern Alberta: Scientific Assessment and Synthesis' which can be found at https://open.alberta.ca/publications/9781460135402 . The dataset compiles information from four of the most current Government of Alberta and public linear footprint data sources. All linear footprints are grouped into five categories using attribution from input data sources. These include: paved roads. gravel roads. unimproved roads, unclassified roads, and truck trails. pipelines and powerlines. and cutlines and trails. Please note: this legacy dataset will not be updated. For questions regarding the data, please contact AEP.Data@gov.ab.ca.
Cumulative human impact maps for the Bay of Fundy and Scotian Shelf
DFO Maritimes Region has conducted a cumulative human impact mapping analysis for the Scotian Shelf-Bay of Fundy management area to support ongoing Marine Spatial Planning initiatives (Murphy et al. 2024). Cumulative human impact mapping (CIM) combines spatial information on human activities and habitats with a matrix of vulnerability weights, into an intuitive relative ‘cumulative impact score’ that shows where cumulative human impacts are greatest and least. To map cumulative impacts in DFO’s Maritimes Region, a recently developed ecosystem vulnerability assessment for Atlantic Canadian waters (Murray et al. 2022) was combined with spatial information on 21 different habitat types and 45 human activities across five different sectors (climate change, land-based, marine-based, coastal, commercial fishing) following the methodology from Halpern et al. (2008). An uncertainty analysis of the cumulative impact map was conducted to assess the robustness of results and identify hot and cold spots of cumulative impacts. This dataset provides: 1) cumulative impact maps for the DFO Maritimes Region at 1 km2 resolution: a total cumulative impact map (i.e. including all 45 human activities), as well as cumulative impact maps for each of the five sectors, 2) a layer that identifies which grid cells are considered hot and cold spots of cumulative human impacts, and 3) the habitat layers included in the CIM.For further information concerning specifics of the maps and methods see Murphy et al. (2024) or contact the data provider. References:Halpern, B.S., Walbridge, S., Selkoe, K.A., Kappel, C.V., Micheli, F., D'Agrosa, C., Bruno, J.F., Casey, K.S., Ebert, C., Fox, H.E., Fujita, R., Heinemann, D., Lenihan, H.S., Madin, E.M.P., Perry, M.T., Selig, E.R., Spalding, M., Steneck, R., and Watson, R. 2008. A Global Map of Human Impact on Marine Ecosystems. Science. 319(5865): 948-952. doi:10.1126/science.1149345.Murray, C.C., Kelly, N.E., Nelson, J.C., Murphy, G.E.P., and Agbayani, S. 2022. Cumulative impact mapping and vulnerability of Canadian marine ecosystems to anthropogenic activities and stressors. DFO Can. Sci. Advis. Sec. Res. Doc. 2022/XXX. vi. + 52 p.Murphy, G.E.P., Stock, A., and Kelly, N.E. 2024 (in press). From land to deep sea: A continuum of cumulative human impacts on marine habitats in Atlantic Canada. Ecosphere.Cite this data as: Murphy, Grace; Kelly, Noreen (2023) Cumulative human impact maps for the Bay of Fundy and Scotian Shelf. Published September 2023. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/37b59b8b-1c1c-4869-802f-c09571cc984b
Building footprints
Inventory of building footprints in the City of Rouyn-Noranda.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
Community Watersheds - Current
Boundaries (polygons) of areas designated as community watershed by government - that are all or part of the drainage area that is upslope of the lowest point from which water is diverted for human consumption by a licensed waterworks, if satisfied that, to protect the water that is diverted for human consumption, the area requires special management that is not otherwise provided for under this regulation or other enactment: to conserve the quality, quantity and timing of water flow; or to prevent cumulative hydrological effects that would have a material adverse effect on the water . Supercedes the '(DEPRECATED) BC Community Watersheds' dataset BC_COMMUNITY_WATERSHEDS
Cold Lake Sub-Regional Plan Spatial Data
Sub-regional plans support working landscapes that provide economic opportunities and maintain healthy landscapes by outlining management approaches and requirements for development and human footprint restoration. These plans enable public lands to support the interests of all Albertans, including Indigenous peoples, for the present and into the future. The Cold Lake Sub-Regional Plan Spatial Data dataset contains spatial data that can be used for planning as described within the Cold Lake Sub-regional Plan (2022). The following datasets are available: Recreational Management Areas, Access Management Plan Centerlines, and Riparian Setbacks. Please see the metadata on the individual datasets for details.
Contiguously Settled Areas: Settlement footprints, 2010 and 2020
This product contains contiguously settled area (CSA) boundaries for a subset of Canadian population centres for 2010 and 2020.The CSA boundaries are derived from land cover data and represent the geographic extent of settled areas based on their physical footprint on the landscape. The boundaries can be used for reference, mapping and spatial analysis of settled areas and urban ecosystems.The CSA boundaries are created and maintained under the umbrella of the Census of Environment, and will support Statistics Canada’s ecosystem accounting efforts following the System of Environmental-Economic Accounting — Ecosystem Accounting (SEEA EA) framework. The primary purpose of the CSA boundaries is to represent the extent of the contiguous urban footprint and allow for the measurement of settled area expansion over time. They will also contribute to the urban and industrial ecosystem class in Statistics Canada’s ecosystem accounting efforts. The boundaries will be used for other types of urban ecosystem analyses, including measures of urban ecosystem condition and services. The CSA boundaries may also be used for urban thematic accounts or to inform where users of ecosystem services are located.Moving forward, CSA boundaries will be updated on an ongoing basis.
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