To support a wide range of efforts to understand the geographic context and historical conditions of the Indian residential schools sites for a wide range of stakeholders, Indigenous Services Canada has created a Web service to access and visualize historical aerial photography for those sites. The Historical aerial photography of Indian residential schools dataset contains digital scans of aerial photographs that were acquired from 1924 to 1998 over Indian Residential school sites and surrounding areas across Canada, as well as basic information about each photography and depicted site. The digital images were georeferenced, to match ground coordinates, saved in a resampled uncompressed raster format and compiled in a single mosaic layer. The dataset does not include the complete range of aerial photographs of each site. Instead, an attempt has been made to select a single optimal photograph for each site based on good photographic quality and the site's years of operation. In some cases no photograph is available, and in others a photograph was only available after the years of operation. The source scanned prints was obtained from the archives of the National Air Photo Library (NAPL) of Natural Resources Canada (NRCAN). This dataset should be considered evergreen as new information and photography sources are identified. It should be noted that this dataset can only be downloaded using ArcGIS and ArcPro software as well as other GIS software.

Projects submitted to Transport Canada’s Navigation Protection Program. Please note that where appropriate, the content is displayed in the language of the original submission and has not been altered.

Province-wide spatial view showing the most downstream point of a stream, as determined by Water Allocation staff, to have a current or potential water quantity/quality concern. Note: This layer has replaced the older Water Allocation Restrictions view spatial layer. This data is updated nightly.

The Probability (likelihood) of heat wave days for cool season crops occurring Heat wave days: The number of days in the forecast period with a maximum temperature above the cardinal maximum temperature, the temperature at which crop growth ceases. This temperature is 30°C for cool season crops (dhw_cool_prob). Week 1 and week 2 forecasted probability is available daily from April 1 to October 31. Week 3 and week 4 forecasted probability is available weekly (Thursday) from April 1 to October 31. Cool season crops require a relatively low temperature condition. Typical examples include wheat, barley, canola, oat, rye, pea, and potato. They normally grow in late spring and summer, and mature between the end of summer and early fall in the southern agricultural areas of Canada. The optimum temperature for such crops is 25°C. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

The Quebec road network, which is managed by the Ministry of Transport and Sustainable Mobility (MTMD), is represented on the interactive map according to the functional class of roads: Highway, National, Regional, Collector, Local 1-2-3, Local 1-2-3, Access resources, Access to resources and isolated locations. Some routes in the dataset are also under federal management or in public-private partnerships (PPP). The road network is inventoried according to the MTMD linear reference system. The linear reference is expressed under the acronym RTSS (Road, Section, Section, Sub-road). The inventoried roads are composed of a 14-character alphanumeric code and an associated measure called chaining (distance measured in meters). An inventoried route will therefore have a starting link (always 0) and an end link representing its length. Thus, the chaining value of a point can be extrapolated precisely to this point. The linear reference method is applied both in the field by different reference points and for the management of digital data of related road assets.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The number of days during the forecast period with an average wind speed greater than 30 km/h (nswd_prob). Week 1 and week 2 forecasted probability is available daily from September 1 to August 31. Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31. Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

The maximum wind speed during the forecast period km/hr (mdws). Week 1 and week 2 forecasted index is available daily from September 1 to August 31. Week 3 and week 4 forecasted index is available weekly (Thursday) from September 1 to August 31. Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

The probability of the drying days occurring during the forecast period with an average wind speed greater than 30 km/h and a maximum temperature above 30°C (drying_prob). Week 1 and week 2 forecasted probability is available daily from September 1 to August 31. Week 3 and week 4 forecasted probability is available weekly (Thursday) from September 1 to August 31. Winds can significantly influence crop growth and yield mainly due to mechanical damage of plant vegetative and reproductive organs, an imbalance of plant-soil-atmosphere water relationships, and pest and disease distributions in agricultural fields. The maximum wind speed and the number of strong wind days over the forecast period represent short term and extended strong wind events respectively. Agriculture and Agri-Food Canada (AAFC) and Environment and Climate Change Canada (ECCC) have together developed a suite of extreme agrometeorological indices based on four main categories of weather factors: temperature, precipitation, heat, and wind. The extreme weather indices are intended as short-term prediction tools and generated using ECCC’s medium range forecasts to create a weekly index product on a daily and weekly basis.

Mapping of listed trees in Quebec City.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Fire perimeters for this year's forest fires in Ontario. Fire perimeters are illustrations only and may not be exact in relation to actual physical locations. The Ontario Ministry of Natural Resources does not capture perimeters for every fire. Fire perimeters are not captured in real time; each capture depends on available resources and weather conditions and may be several days old. During fire season, perimeter data is updated every 24 hours as improved information becomes available; therefore, reported fire size may fluctuate from day to day. The Ontario Ministry of Natural Resources shall not be liable in any way for the use of, or reliance upon this information. The [Forest Fire Info Map](https://www.lioapplications.lrc.gov.on.ca/ForestFireInformationMap/index.html?viewer=FFIM.FFIM&locale=en-CA) shows active fires, current fire danger and restricted fire zones in place due to high fire danger.