cl_maintenanceAndUpdateFrequency

RI_533

138 record(s)
 
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    This data set shows the notices and alerts published on [the City of Montreal's website] (https://montreal.ca/avis-et-alertes). Advisories and alerts provide important information to the public in case of emergency and in situations that may have an impact on daily life (boil water advisory, construction, pool closure, etc.).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    Mapping of sites and infrastructures administered by Quebec City and certain private institutions.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    The First Nations geographic location dataset contains the geographic location of First Nations (groups and subgroups) in Canada as points as well as basic attributes data. The location identifies where the First Nations live. Each First Nation point represents its administrative office address as it is registered in Indigenous Services Canada (ISC) Band Governance Management System (BGMS). When the First Nation administrative office is located outside its associated most populated reserve boundary, adjustments are made to relocate the point within its boundaries, otherwise within the boundaries of another associated reserve or the city where the administrative office is located. When the administrative office or the First Nation is impossible to locate, the location is based on the best available information on the First Nation (e.g. official First Nation Web site). A connection with the BGMS is in place to ensure that any update to the system is reflected in the attributes data associated with the location of each First Nation. This dataset is Crown-Indigenous Relations and Northern Affairs Canada (CIRNAC) and Indigenous Services Canada (ISC) official source for First Nation geographic location on maps.

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    The Forest Analysis and Inventory Branch (FAIB) is responsible for coordinating and managing data collection and analyses from a range of different ground sampling programs that collect data on ground plots. This layer shows ground plots from the PSP and VRI programs. **Vegetation Resource Inventory (VRI):** ground samples primarily used to audit and verify key inventory attributes estimated during photo interpretation. These samples are not protected because they will not be revisited. **Permanent Sample Plots (PSP):** subjectively located fixed-area permanent plots, valued for their long-term re-measurement data to support development of growth-and-yield models in unmanaged stands across a range of stand and ecosystem types. Actual GPS coordinates are provided as protection is necessary. - Active PSPs = plot and buffer are protected from harvesting - Inactive PSPs = not protected from harvesting

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    The number of days in the forecast period with a minimum temperature below the frost temperature, -30°C for woody crops over the dormant period (ifd_wood_dorm). Week 1 and week 2 forecasted index is available daily from November 1 to March 31. Week 3 and week 4 forecasted index is available weekly (Thursday) from November 1 to March 31. Over-wintering crops are biennial and perennial field crops such as herbaceous plants (strawberry, alfalfa, timothy, and many other forage crops) and woody fruit trees (apple, pear, peach, cherry, plum, apricot, chestnut, pecan, grape, etc.). These crops normally grow and develop in the growing season and become dormant in the non-growing season. However, extreme weather and climate events such as cold waves in the growing season and ice freezing events during the winter are a major constraint for their success of production and survival in Canada. The winter survival of these plants depends largely on agrometeorological conditions from late autumn to early spring, especially ice-freezing damage during the winter season. 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 basis.

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    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.

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    Probability of daily precipitation above 25mm over the forecast period (p1d25_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. Units: mm Precipitation (moisture availability) establishes the economic yield potential and product quality of field crops. Both dry and wet precipitation extremes have the ability to inhibit proper crop growth. The greatest daily precipitation index covers the risk of excessive precipitation in the short term, while the other indices pertain to longer term moisture availability. 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.

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    The probability of effective growing season degree days above 100 for warm season crops. This condition must be maintained for at least 5 consecutive days in order for EGDD to be accumulated (egdd_warm_100prob). 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. Cumulative heat-energy satisfies the essential requirement of field crop growth and development towards a high yield and good quality of agricultural crop products. 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.

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    Province-wide spatial view showing the most downstream point of a stream or drainage system, established by Order-in-Council as a Water Reservation. This layer is updated daily.

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    This Forest Fire Danger Rating is a general depiction of the forest fire danger ratings for various regions of Ontario. It is designed only to show the overall danger in large areas as: * Low * Medium * High * Extreme * No Data (when applicable,) There may be more specific reports of conditions from municipalities or townships. Check specific danger conditions and possible fire restrictions with local authorities. 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.