A Drainage Appliance is an apparatus (that has not been described as a culvert), or earth works, designed to facilitate the movement of water in a controlled manner. Drainage Appliance include some appliances/earth works that work in conjunction with culverts. It is a Point feature

A Storm Sewer is an enclosed system of pipes or drains that divert water away from the road and/or right of way. Also includes culverts that run under enclosed ditches. It is a Linear feature

Groundwater flow is the movement of water in an aquifer or hydrogeological unit. The dataset shows groundwater flow rate and direction in the hydrogeological unit. Groundwater flow is establish from piezometric surface map. The method used to create the dataset is described in the metadata associated with the dataset. The dataset represents a description of the flow, including rate in m/d, direction, date and source. Typically, the data provided will not be in the form of a shapefile with linked properties but in the form of an image that sketches the groundwater flow. The image could also represent a cross section of the hydrogeologic units showing the regional trends of the groundwater flow.

Location of timestampers.attributs:ID - Unique IdentifierNo - Number**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

UTC - Utility and communication networks (utilitiesCommunication) Energy, water and waste systems, and communications infrastructure and services. For example, resources describing hydroelectricity; geothermal, solar, and nuclear sources of energy; water purification and distribution; sewage collection and disposal; electricity and gas distribution; data communication; telecommunication; radio; and communication networks.

Facilities designed to recover natural gas liquids from a stream of natural gas. These facilities control the quality of the natural gas to be marketed.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)

Snow survey administrative basin areas, which are components of the BC snow survey network. Basin codes are used as basis of snow survey station names, and for some reporting purposes.

This dataset contains a list of drainage superintendents who are appointed by the local municipality to manage drains constructed under the [Drainage Act, 1990](https://www.ontario.ca/laws/statute/90d17). Drainage superintendents are businesses or individuals that represent the local municipality to assist landowners to resolve their drainage concerns using the Ontario Drainage Act, 1990. This list is maintained by the Ministry of Agriculture, Food and Agribusiness (OMAFA) and includes municipality names, addresses telephone numbers, and superintendent contact information. This list is updated annually or as required throughout the year. More information about the work of drainage superintendents can be found at [Drainage Superintendents Association of Ontario (DSAO)](https://www.dsao.net/).

Data include a collection of annual land cover maps derived from MODIS 250 m spatial resolution remotely sensed imagery for the period 2000 to 2011. Processing of the time series was designed to reduce the occurrence of false change between maps. The method was based on change updating as described in Pouliot et al. (2011, 2013). Change detection accounted for both abrupt changes such as forest harvesting and more gradual changes such as recurrent insect defoliation. To determine the new label for a pixel identified as change, an evidential reasoning approach was used to combine spectral and contextual information. The 2005 MODIS land cover of Canada at 250 m spatial resolution described in Latifovic et al. (2012) was used as the base map. It contains 39 land cover classes, which for time series development was considered too detailed and was reduced to 25 and 19 class versions. The 19 class version corresponds to the North America Land Change Monitoring System (NALCMS) Level 2 legend as described in Latifovic et al. (2012). Accuracy assessment of time series is difficult due to the need to assess many maps. For areas of change in the time series accuracy was found to be 70% based on the 19 class thematic legend.This time series captures the spatial distribution of dominant land cover transitions. It is intended for use in modeling, development of remote sensing products such as leaf area index or land cover based albedo retrievals, and other exploratory analysis. It is not appropriate for use in any rigorous reporting or inventory assessments due to the accuracy of the land cover classification and uncertainty as to the capture of all relevant changes for an application.

Breakdown of the electoral districts of the City of Rouyn-Noranda**This third party metadata element was translated using an automated translation tool (Amazon Translate).**