20150316 11372000 1.0 TRUE This feature layer depicts the watershed boundaries of Canada and provides a detailed look at drainage areas and water flow for the entire land mass of Canada. This map service references the Water Survey of Canada (WSC) data. The WSC has a 3-level hierarchy of drainage areas established in 1927 for the purpose of managing hydrometric stations (recording water levels or rates of flow). They are: Major Drainage Areas, Sub Drainage Areas and Sub-sub Drainage Areas. This map service includes all three drainage area boundaries as well as the highest order boundary, the ocean drainage area. CanadaEsri CanadaEducationwatershedsdrainagewatershedhydrometric stationswater surveyArcCanadageography This feature layer depicts the watershed boundaries of Canada. Water Survey of Canada (Environment Canada) <span style='overflow: auto;'><span><span style='overflow: auto;'><span> <p style='font-family: Verdana;'><font size='2'><span style='font-size: 9.5pt; color: rgb(0, 0, 32);'>This work is licensed under the Web Services and API Terms of Use.<a href='http://links.esri.com/e800-summary' target='_blank'>View Summary</a>| <a href='http://www.esri.com/legal/pdfs/e-800-termsofuse.pdf' target='_blank'>View Terms of Use</a></span></font></p> <p style='font-family: Verdana;'><font size='2'><span style='font-size: 9.5pt; color: rgb(0, 0, 32);'>This data is licensed under a <a href='http://creativecommons.org/licenses/by/2.5/ca/' target='_blank'>Creative Commons Attribution 2.5 Canada License</a>.</span></font></p> </span></span></span></span> 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