Elevation Points - 50k - Canvec
CSW_BASE_CANVEC.ELEVATION_PT_50K
2016-03-07T00:00:00
2017-03-09T00:00:00
1.0
<div style='text-align:Left;'><div><div><p><span>Elevation Features entities are: Contour and Elevation Point. CanVec is a digital cartographic reference product of Natural Resources Canada (NRCan). It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format, and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.).</span></p><p style='margin:0 0 11 0;'><span><span>Distributed from </span></span><a href='https://yukon.ca/geoyukon' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>GeoYukon</span></span></a><span><span> by the </span></span><a href='https://yukon.ca/maps' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Government of Yukon</span></span></a><span><span>. Discover more digital map data and interactive maps from Yukon’s digital map data collection.</span></span></p><p style='margin:0 0 11 0;'><span><span>For more information: </span></span><a href='mailto:geomatics.help@gov.yk.ca' rel='nofollow ugc' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>geomatics.help@gov.yk.ca</span></span></a></p></div></div></div>
The elevation features of the CanVec series include the elevation contours and elevation points. These entities are used to describe the relief of the Canadian Landmass.
Government of Yukon on behalf of Natural Resources Canada
Esri ArcGIS 10.5.1.7333
50000
Earth ScienceCanVecRelief and landformsContoursElevationGeoYukonYukon
Earth Science
CanVec
Relief and landforms
Contours
Elevation
1
-144.254881
-118.071426
58.610274
69.706496
1
-144.254881
-118.071426
58.610274
69.706496
Government of Canada; Natural Resources Canada; Earth Sciences Sector
NRCan.geogratis-geogratis.RNCan@canada.ca
<div style='text-align:Left;'><div><div><p><span>Open Government Licence - Canada (https://open.canada.ca/en/open-government-licence-canada)</span></p></div></div></div>
It originates from the best available data sources covering Canadian territory, offers quality topographical information in vector format, and complies with international geomatics standards. CanVec is a multi-source product coming mainly from the National Topographic Data Base (NTDB), the Mapping the North process conducted by the Canada Center for Mapping and Earth Observation (CCMEO), the Atlas of Canada data, the GeoBase initiative, and the data update using satellite imagery coverage (e.g. Landsat 7, Spot, Radarsat, etc.).
https://map-data.service.yukon.ca/GeoYukon/Elevation/Elevation_Points_50k_Canvec/
https://yukon.maps.arcgis.com/home/item.html?id=b7773d0fb6d2416bb42fe1fc8905aab5
Feature Class
10.4.1
17728
CSW_BASE_CANVEC.ELEVATION_PT_50K
Feature Class
17728
OBJECTID
OBJECTID
Internal feature number.
Esri
OID
4
10
0
Sequential unique whole numbers that are automatically generated.
FEATURE_ID
FEATURE_ID
String
64
0
0
MD_ID
MD_ID
String
64
0
0
MD_TEMPORAL_EXTENT_DATE_MIN
MD_TEMPORAL_EXTENT_DATE_MIN
String
20
0
0
MD_TEMPORAL_EXTENT_DATE_MAX
MD_TEMPORAL_EXTENT_DATE_MAX
String
20
0
0
MD_HORIZ_POSITION_ACCURACY_MIN
MD_HORIZ_POSITION_ACCURACY_MIN
Double
8
38
8
MD_HORIZ_POSITION_ACCURACY_MAX
MD_HORIZ_POSITION_ACCURACY_MAX
Double
8
38
8
MD_VERT_POSITION_ACCURACY_MIN
MD_VERT_POSITION_ACCURACY_MIN
Double
8
38
8
MD_VERT_POSITION_ACCURACY_MAX
MD_VERT_POSITION_ACCURACY_MAX
Double
8
38
8
ELEVATION_POINT_DESCRIPTOR
ELEVATION_POINT_DESCRIPTOR
SmallInteger
2
5
0
ELEVATION
ELEVATION
Integer
4
10
0
ELEVATION_UNIT
ELEVATION_UNIT
SmallInteger
2
5
0
ELEVATION_UNIT_SYMBOL
ELEVATION_UNIT_SYMBOL
SmallInteger
2
5
0
MAP_SELECTION
MAP_SELECTION
SmallInteger
2
5
0
SHAPE
SHAPE
Feature geometry.
Esri
Geometry
4
0
0
Coordinates defining the features.
EPSG
6.13(9.3.0.0)
ISO 19139 Metadata Implementation Specification
5000
500000
2017-06-20
13583000
2021-01-03
12:05:54.48
FALSE
2018-06-25
16522800
1.0
ISO19139
editor:esri.dijit.metadata.editor
002
ELEVATION_PT_50K
38342.481500
1070030.243300
500924.756000
1693651.721600
1
Projected
GCS_North_American_1983
NAD_1983_Yukon_Albers
Linear Unit: Meter (1.000000)
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dataset
2020-12-04
3864A274-1BDA-4496-9404-56C0F552CD6A
Government of Canada; Natural Resources Canada; Earth Sciences Sector
NRCan.geogratis-geogratis.RNCan@canada.ca
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Simple
FALSE
17728
TRUE
FALSE