Forest Licensee Operating Areas for the Kootenays Region, and the Cascades and Okanagan/Shuswap districts in the Thompson-Okanagan region. Other regions and districts will be added as they become available

This data set was created upon direction from Yukon Government, DIAND, Yukon Region and CYFN following consultations with citizens of Carcross, Ross River, Old Crow and Beaver Creek. The maps for Burwash Landing, Destruction Bay, Pelly Crossing and Deep Creek reflect the community boundaries of the respective First Nation Final Agreements.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)

North Thompson Caribou Habitat within the Clearwater Forest District

Landscape hazard maps were completed as part of a community hazards mapping program coordinated by the Northern Climate ExChange (Yukon Research Centre, Yukon College). Potential landscape hazards were assessed under changing future conditions by incorporating a variety of data sets, including surficial geology, topography (slope and aspect), permafrost distribution, site-specific permafrost data (e.g. ground penetrating radar, electrical resistivity tomography and borehole data), analyses of past hydrological and climatological trends, and future climate projections. The landscape hazard map identifies existing and potential geological hazards such as landslides, permafrost stability and flooding. The hazard map is presented in stoplight colours to provide an intuitive tool for community decision makers aiming to incorporate an adaptation planning framework into existing land use management practices. Detailed descriptions of data inputs and hazard analysis methodology are presented in an accompanying report (available for download from [https://data.geology.gov.yk.ca/Reference/68409](https://data.geology.gov.yk.ca/Reference/68409) ). An accompanying surficial geological map also describes detailed landscape characteristics such as surface landscape features, sediment texture, genetic material, surface expression and geomorphological processes (available for download from [https://data.geology.gov.yk.ca/Reference/68409](https://data.geology.gov.yk.ca/Reference/68409) ).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)

Border crossings of liquids pipelines. Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.Parent Collection:[North American Cooperation on Energy Information, Mapping Data](https://open.canada.ca/data/en/dataset/aae6619f-f9f3-435d-bc32-42decd58b674)

The Turkey Lakes Watershed Study (TLWS) was established in 1979 and is one of the longest running ecosystem studies in Canada. It is 10.5 km2 and is located approximately 60 km north of Sault Ste. Marie, Ontario at the northern margin of the Great Lakes – St. Lawrence forest region. Researchers from Natural Resources Canada, Environment Canada and Fisheries and Oceans Canada established the research watershed to evaluate the impacts of acid rain on terrestrial and aquatic ecosystems. Since its inception, the study has taken a multi-disciplinary approach to investigating the processes that govern ecosystem responses to natural and anthropogenic perturbations.The goal of the TLWS is to obtain a whole-ecosystem analysis of the biogeochemical processes operating at the site. This permits system models to be developed and validated. The holistic approach that has been adopted from the outset allows research to evolve and expand from its original acidification focus to include evaluations of other environmental issues.Partnerships and collaboration are part of the founding principles behind the TLWS to improve our ability to measure, model and predict effects of human activity on ecosystem function. Over time, research and monitoring have expanded to explore the effects of forest harvesting, climate change, aquatic habitat manipulations and toxic contaminants. Advancements of our scientific knowledge of forest ecosystems and a baseline of long-term environmental data enables study results to inform Canadian governments on environmental policy and forest management legislation.Hydrological, meteorological, and vegetation data collected by scientists at the Great Lakes Forestry Centre is included in this directory. Experimental sites and scientific investigations in the TLW are summarized in the compendium document. Visit our website at:

Facilities that separate and convert crude oil or other feedstock into liquid petroleum products, including upgraders and asphalt refineries.Mapping Resources implemented as part of the North American Cooperation on Energy Information (NACEI) between the Department of Energy of the United States of America, the Department of Natural Resources of Canada, and the Ministry of Energy of the United Mexican States.The participating Agencies and Institutions shall not be held liable for improper or incorrect use of the data described and/or contained herein. These data and related graphics, if available, are not legal documents and are not intended to be used as such. The information contained in these data is dynamic and may change over time and may differ from other official information. The Agencies and Institutions participants give no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data.

Wildfire change year 1985-2022.Wildfire changes occurred from 1985 to 2022 displaying the year of greatest wildfire disturbance. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The information outcomes represent 38 years of wildfires in Canada's forests, derived from a single, consistent, spatially explicit data source in a fully automated manner. Time series of Landsat data with 30 m spatial resolution were used to characterize national trends in stand replacing forest disturbances caused by wildfire for the period 1985-2022 for Canada's 650-million-hectare forested ecosystems.When using this data, please cite as: Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G.W. Hobart, L.B. Campbell, 2016. Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring. International Journal of Digital Earth 9(11), 1035-1054. https://doi.org/10.1080/17538947.2016.1187673 (Hermosilla et al. 2016).See references below for an overview on the data processing, metric calculation, change attribution, and time series change detection methods applied, as well as information on independent accuracy assessment of the data..Hermosilla, T., Wulder, M. A., White, J. C., Coops, N.C., Hobart, G.W., (2015). An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sensing of Environment 158, 220-234. https://doi.org/10.1016/j.rse.2014.11.005 (Hermosilla et al. 2015a).Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., (2015). Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics. Remote Sensing of Environment 170, 121-132. https://doi.org/10.1016/j.rse.2015.09.004 (Hermosilla et al. 2015b).Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G. W. Hobart, (2017). Updating Landsat time series of surface-reflectance composites and forest change products with new observations. International Journal of Applied Earth Observation and Geoinformation. 63,104-111. https://doi.org/10.1016/j.jag.2017.07.013 (Hermosilla et al. 2017).

Polygons of evaluation units of the graphic matrix.**Collection context** Update process in collaboration with the evaluation department.**Collection method** Computer-aided mapping.**Attributes*** `ID` (`integer`): Identifier* `ADM01A` (`varchar`): Municipality code* `SI0318A` (`smalldatetime`): Registration date* `SI0317C` (`varchar`): Registration* `SI0528C` (`varchar`): Neighborhood unit* `DATE_CREATION` (`smalldatetime`): Created on* `DATE_MODIFICATION` (`smalldatetime`): Modified on* `USER_MODIFICATION` (`varchar`): Modified by* `X_FIC_JOINT` (`varchar`): Attached file* `ID_OLD` (`varchar`): Old idFor more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

High resolution forest change for Canada (Change Year) 1985-2011The forest change data included in this product is national in scope (entire forested ecosystem) and represents the first wall-to-wall characterization of wildfire and harvest in Canada at a spatial resolution commensurate with human impacts. The information outcomes represent 27 years of stand replacing change in Canada’s forests, derived from a single, consistent spatially-explicit data source, derived in a fully automated manner. This demonstrated capacity to characterize forests at a resolution that captures human impacts is key to establishing a baseline for detailed monitoring of forested ecosystems from management and science perspectives. Time series of Landsat data were used to characterize national trends in stand replacing forest disturbances caused by wildfire and harvest for the period 1985–2011 for Canada's 650 million hectare forested ecosystems (https://authors.elsevier.com/sd/article/S0034425717301360 ). Landsat data has a 30m spatial resolution, so the change information is highly detailed and is commensurate with that of human impacts. These data represent annual stand replacing forest changes. The stand replacing disturbances types labeled are wildfire and harvest, with lower confidence wildfire and harvest, also shared. The distinction and sharing of lower class membership likelihoods is to indicate to users that some change events were more difficult to allocate to a change type, but are generally found to be in the correct category. For an overview on the data, image processing, and time series change detection methods applied, as well as information on independent accuracy assessment of the data, see Hermosilla et al. (2016; http://www.tandfonline.com/doi/full/10.1080/17538947.2016.1187673).The data available is, 1. a binary change/no-change; 2. Change year; and, 3. Change type. When using this data, please cite as: White, J.C., M.A. Wulder, T. Hermosilla, N.C. Coops, and G. Hobart. (2017). A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series. Remote Sensing of Environment. 192: 303-321. DOI: 10.1016/j.rse.2017.03.035. https://authors.elsevier.com/sd/article/S0034425717301360Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011