20180404 13581800 1.0 FGDC CSDGM Metadata TRUE Includes both urban (former MISAM) and rural (former non-MISAM) control markers that make up the NAD83 (CSRS) ASCM subset. Listing produced 2009/04/02.All ASCMs in this dataset are within the first horizontal order.Horizontal order of ASCMs: based on the dimension of a 95 percent relative confidence ellipse’s semi-major axis, as outlined in the Specifications and Recommendations for Control Surveys and Survey Markers (1978) by NRCAN. For classification, this dimension (in cm) must not exceed C*(d + 0.20), where d is the distance to the adjacent marker in km, and C is the factor associated with the order class (see the following value-set). <div><br /></div><div>All ASCM feature in this dataset are first horizontal order.<br /><div><ul><li><span style='background-color: rgb(127, 255, 0);'><b>1: first order. Dimension is not greater than 2*(d + 0.2). </b></span><br /></li><li>2: second order. Dimension is not greater than 5* (d + 0.2). <br /></li><li>3: third order. Dimension is not greater than 12*(d + 02). <br /></li><li>4: fourth order. Dimension is not grater than 30* (d + 0.2). - U: unclassified. Either the dimension exceeds 30* (d + 0.2), an order cannot be determined (no covariance data exists), or order is irrelevant (the marker was destroyed before the coordinates were adopted).<br /></li></ul></div></div> sait calagry zoo data management portal ascm Alberta Survey Control Markers Alberta Environment and Parks - Geodetic Control Unit Educational purposes only. /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKCARg8igDFbxRp0dvcTyM6JDMIhuUgyZOAy56jryPSrw1WzbU00 9ZlNw8XnBQeq1xOrWKTeLpIoo0YIELpuAAHb5VzgZ7gZ689MddNHpGlC3efyLfc6pEWbq4U4APrg GvMw+JrVJzTslF2109ehyUalWpOUbbf0zUooor0zrCiiigAooooAKKKKACiiigAooooAKKKKACii igAooooAKKKKACiiigArnNZ8VR6ZePbRwGdkjJO3k78cDH5fnXR15zqksWneK2kWHcsUquwZtxY9 SfrzXl5riqmHpxlB2u0m/I4sdWlSjFxdrsdBfDQtZhupJjcwXAMskrjacnO7HJBx/T8a07qPQ/Gl 2iTzXcbQxkRruVR8xAJGQfm6D6H61WuUfxLrtxcWSRSRQx+TG0u8Lv65cd1PQHk9eB1qLRfAmows 51S+hO1leNoHcnI9chcc4PH8q4aUMTFuFJc1Nv8ArW/6k4eNemnKk1a+3V+h3dvD9nt44d7uEUKG fGT9cVJTUDLGodtzAAFsYyfWnV9DFWSSO5KyCiiimMKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAooooAK5zxHaaVbJ9uuYXaWRhGFiUFnJI56HkDvXR1wHivU1vNVW2CK8NqSMMM5fufw7 V5uaVqVKheor3ehx42pCFL3zR8IYl1HUblCAjvgKI8Db/DjsvQ/Lz1zn066vMdD1WbTJpltlWSa4 jKxxnON46E4B4yf1rsNL8QmciLUYfss7ybIgQdsgx1GfcHrjqPWufK8bTdCMZ6PX03/r5meCxEXT Slozeooor2j0AooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAK4zxNotuxn 1h9QEaD5SFXgYOMDnBOQck89a7GRS0bKrFCQQGHb3rz3WYLexu49HF0Utg3mO8zk4lc8Yzyc/XA6 D0rzM1a9jaUb9tba/eceNt7OzV/n1MQM0E6umRghlJXrzwcVf13U5NY1GJzFsaJAiqT/ABfxEc4H JwPYZrLgkvbi8+yXsVwIImAEDrsdFzy3zYx0JHfFaesNNpt1bXQuNkMUZWyuZCCdnUkf1HHHFfL0 6c40pQ1s7X0vqvn+J48sPUpJ05X6Xtqd54dnvZ9JQ38TpMjFdzkEuB3/AKfhmtWqWkS3Eul273QH nFBlgchvf8au19rh1alHVvRb7n0FFWpx1vp1CiiitjQKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAgvLpLKzluZOVjXOPX0FedTTWGoNLqqwmK+2BngkUt5jZ6Fh2GeBnjPeu18S2V zqOiy2lqhaSQgY3ALj/az2+nNee6jbTWl5LbzRiMrt+Ubcjj/Z4/Kvns6rzg1pePp19TysxqSjbT QZLcObmSVRs37gV64B4I5yelXfDjQPrUUF+2+B1CRIxwqMMkYxgjJP61kjIOAAckktgD+XX0/CpY 3MciOACVIIBr5ujXlTqqW6vt3PKpVJQnor3PXYYY7eJYokCIvRR0FPqCzuReWUFyFKiVA+D2yKnr 9Dg04px2PqVa2gUUUVQwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCOaZLeCSa VgqRqWYnsBXmL/ZbiW+u7q9UyyT4HH8RGcHnnAA5wB7Cuy8XR3culbIOId26b5S25R/DjsO5PbFc hf6RcQRR3dvZytabA8jNgBTnnGSDj0Poa+ezeU6kvZxjdJXf+fyPJzCUm+VK6RnatBLpU3kMDK2w FZFQlWzjnAycH2yOOtT6XNeW0bX9rFvLZRSEKtF2JIPfqR/WofNa5dTnjhVy2QB259K2NL0rVZIG vdIuoZNrtHmKUckHBHOAa8KjBzrN0oPR9NbfI4KfLJ+5B3T3X+Vv1Ow8MyTSaDbee7O6rty/3+P7 2OM/TjpWvVLSmvW0+MahHsuVG1zkfN78E1dr7jD39lG/btb8D6Gl8CCiiitjQKKKKACiiigAoooo AKKKKACiiigAooooAKKKKACiiigAooooAw/FN5Z2+ktDdhpBNwIV/wCWg7g8Hj1rjLvV7s2fl294 sVs21VtivMYUk9RgYJPQAYwBz29BvdIstQZnuIi7ldufMYcdexrzPUNIkh1ldOWVtzPgPgBNx/hB OOfz5zzXz2aRxKqc3MlF6ef5dTycd7eMuZbPQzNLSaNGEzJMPlwPubTnk8dsfw13fhXUrubUnQ2L JaSxqPMQMVDDJ6npwf5VxVpb3dtdXou7e6VLeJ2dmjyGdeBt5wc5A46HrXVaFqGqWng6NrawM160 py0cL7GXg5GRk+nOOQfTJxwOHrxbxE9Ixfzfy7dL+f3XONSOI55pLS+lvusvu/HqjvaKhtJ2ubSK Z4niZ1yyOCCp7jmpq+mjJSSaPSTTV0FFFFMYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFF FABRRRQAjMEUsxAUDJJ7CvO9b16PVxKEgeF42xBOH+YLkgkA5AJAHOOhr0WuM8R6dc32svL9nuGt 0hCKyIWJfqMDH3ecE5zntXlZsqzor2T+Vv8APscWOVT2fuHIalqHm3Cy3Mgied9oxgDgfy45+tdb 4Y8RWdnYwWNxHLHI0mAfvAZGecEgYxzjjv61x01n5q7Lm2+8gJyeMZ6Z9OPoadeW7m2WEebFJvG/ GVJXHAyCCM+2OK+ZwuJlh6qmt+vX7jzKFWnTnBp2lrzN6r5Wu/8Ahj2SiqGiKyaLaK1z9pIjGJSM Fh2zyeQOPwq/X3MZKUVJdT6F2v7ruu4UUUVQgooooAKKKKACiiigAooooAKKKKACiiigAooooAKK KKACiiigAoIBGDyKKKAIVtLZAwW3iUMMMAgGR6GlS1t4zmOCJD/soBRRU8kewuVdiWiiiqGFFFFA BRRRQAUUUUAFFFFABRRRQB//2Q==