Lines indicate the approximate flight path flown during aerial survey of NB forests for pests, diseases, and abiotic disturbances. Flights are conducted during clear visibility conditions, typically towards the end of June or early July. Observations are timed to optimize visibility of spruce budworm feeding characterized by reddening of current year needles on spruce and fir as they dry out. Although budworm feeding is often the focus, all types of disturbance are recorded.Polygons indicate the disturbances observed during the aerial survey. Wherever possible, the cause of the damage is reported from the air and ground surveys are used to confirmed agent if the stand is accessible.

The data, created in ArcGIS, represents an assessment of air quality risk for the agricultural area of Alberta in 2005. Agricultural activities that may have some influence on air quality manure production (odour) and cultivation intensity (particulate matter). The airsheds of the agricultural region of Alberta are considered to be uniform in their physical susceptibility to risk from agricultural activities. Air quality risk is a useful measure for those concerned about health, safety and nuisance issues related the quality of air in agricultural areas. Awareness of where agricultural activities related to livestock production and intensive cultivation are located, may be useful for people with health or nuisance related concerns. Blowing soil can cause respiratory problems and can reduce visibility on roads and highways. Dust from farm traffic can be a concern during peak agricultural activity, such as harvesting or manure hauling. Frequent strong odours can be unpleasant nuisance for neighbours. In areas of greater air quality risk, environmental farm planning can help to address the issues and provide solutions. Practices including pen/barn maintenance, method of manure application, manure storage, composting, adjusting, feed rations and reducing or eliminating tillage can be looked at in an environmental farm plan.

Lines indicate the approximate flight path flown during aerial survey of NB forests for pests, diseases, and abiotic disturbances. Flights are conducted during clear visibility conditions, typically towards the end of June or early July. Observations are timed to optimize visibility of spruce budworm feeding characterized by reddening of current year needles on spruce and fir as they dry out. Although budworm feeding is often the focus, all types of disturbance are recorded.Polygons indicate the disturbances observed during the aerial survey. Wherever possible, the cause of the damage is reported from the air and ground surveys are used to confirmed agent if the stand is accessible.

Vegetative or non-vegetative objects alongside major roads and highways preventing passers by from seeing the surrounding landscape

The B.C. Conservation Data Centre spatial layer that displays a generalised area that masks the precise locations of secured occurrences of species and ecosystems at risk. These are masked for public viewing and download. The occurrences may be secured due to the species or ecosystems being susceptible to persecution or harm, or for proprietary reasons. For information or to obtain details about Masked Occurrence Records, please contact the CDC at cdcdata@gov.bc.ca and provide projects details including precise location information and activities expected to occur on site or other reasons for requiring the information. Release of details of secured occurrences is subject to the signing of a Confidentiality and Non-reproduction Agreement and a demonstrated "need-to-know".

This layer is the current fire year burn severity classification for large fires (greater than 100 ha). Burn severity mapping is conducted using best available pre- and post-fire satellite multispectral imagery acquired by the MultiSpectral Instrument (MSI) aboard the Sentinel-2 satellite or the Operational Land Imager (OLI) sensor aboard the Landsat-8 and 9 satellites. Every attempt is made to use cloud, smoke, shadow and snow-free imagery that was acquired prior to September 30th. However, in late fire seasons imagery acquired after September 30th may be used. This layer is considered an interim product for the 1-year-later burn severity dataset (WHSE_FOREST_VEGETATION.VEG_BURN_SEVERITY_SP). Mapping conducted during the following growing season benefits from greater post-fire image availability and is expected to be more representative of tree mortality. #### Methodology: • Select suitable pre- and post-fire imagery or create a cloud/snow/smoke-free composite from multiple images scenes • Calculate normalized burn severity ratio (NBR) for pre- and post-fire images • Calculate difference NBR (dNBR) where dNBR = pre NBR – post NBR • Apply a scaling equation (dNBR_scaled = dNBR*1000 + 275)/5) • Apply BARC thresholds (76, 110, 187) to create a 4-class image (unburned, low severity, medium severity, and high severity) • Mask out water bodies using a satellite-derived water layer • Apply region-based filters to reduce noise • Confirm burn severity analysis results through visual quality control • Produce a vector dataset and apply Euclidian distance smoothing

A Fire Disturbance Area represents the mapped exterior perimeter of a forest fire. Mapping is derived from a variety of sources, such as GPS points and digitized paper maps. Prior to 1998, only fires greater than 200 hectares were mapped. Since 1998, fires greater than 40 hectares have been mapped. If adequate mapping exists for fires less than 40 hectares in size, they will be included in this data class. The [Forest Fire Info Map](https://www.lioapplications.lrc.gov.on.ca/ForestFireInformationMap/index.html?viewer=FFIM.FFIM) shows active fires, current fire danger and restricted fire zones in place due to high fire danger.

These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are short-wave and long-wave radiation emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product.Other products are based on the enhancement of channel data for a single wavelength, also aimed at highlighting meteorological features of the observed surface or clouds, but in a simpler way since only a single wavelength is involved. This older approach is still useful today, as its simplicity makes image interpretation easier in some cases.

This is an approximated visualization of the School Authority Separate information that is currently available on the Alberta Education public website (https://education.alberta.ca/boundary-maps/school-jurisdiction-maps/everyone/view-and-print-maps). The information has been informed by Ministerial Orders and is presented in a mapping format.

These products are derived from RGB (red/green/blue) images, a satellite processing technique that uses a combination of satellite sensor bands (also called channels) and applies a red/green/blue (RGB) filter to each of them. The result is a false-color image, i.e. an image that does not correspond to what the human eye would see, but offers high contrast between different cloud types and surface features. The on-board sensor of a weather satellite obtains two basic types of information: visible light data (reflected light) reflecting off clouds and different surface types, also known as "reflectance", and infrared data (emitted radiation) which are long-wave radiations emitted by clouds and surface features. RGBs are specially designed to combine this type of satellite data, resulting in an information-rich final product. Four types of products are currently generated from the GOES-West and GOES-East satellites: "NightIR" and "NightMicrophysics", at 2km resolution, are generated 24 hours a day with infrared channels, so are visible both night and day, and "NaturalColour" and "DayCloudConvection", at 1km resolution, which combine visible light channels with infrared channels; their higher resolution makes the latter two products more popular, but they are not available during most of the night (between 02UTC and 07UTC for GOES-Est, and between 06UTC and 11UTC for GOES-Ouest) given the absence of reflected sunlight. Other RGB products should be added gradually in the future to meet different needs.