20180805 15551800 1.0 FGDC CSDGM Metadata TRUE Weight Analysis #Lakelse #Weight Weight Analysis /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACqWo6nBpiQGZJnaeXyo0hjLszbWboPZWP4VdrN1exurprCez eETWdwZws2drgxvGRkcj7+c+1KV7aGlJRc7T2/q34k2n6lb6mkzQearQyeVKksTRsjbQ2CGA7Mpz 05q5WZo9leWr6hPemDzru5E22EkqoEUceMkD+5n8a06I3a1CqoqdobBRRRTMwooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKACiiigDmdZawfxJCmoW880aWZYLHbyS4JcYPyA4+6eTisCKfR2 0rT2aa7Est0N7s84Hl7ycE9PujFdPcPfDxVMbC3tpillF5izztFjc8mMEI2funtWHaXOq/2N4bxp 9sySTo0BS6bc/wC7duQYxt+XJ6npXs0bqCXa32kujex6lK6gvK3VLo2Me80NJ9VI1W7WCGFTAqah cKA20lsAP/u1LNFa6Uugm91m8tBcxk3Lz6pJtYiPPV3IHzEcDHX2pby+1FLXxTJJpqCNYiJiLkHZ iAHj5Rngg/jW/LqUtgmnWUNjJdXM0BfYjqu1UCgkliO7qPxrzca37RO+yXW/bt/TNHKUUktb/wB5 fy99tL31Kega3ppgvAdat54lunWJ5LtXJUBe5PTOa3re7trsE21xFMB1MbhsflXCyXckmhX7SaFd HdqTfvC0BCn7QBt/1mc544GMmt/TJEl8UXLJYS2f+hx5WRFUt87c8E1tKjz0/ay0fy6W+fU5sRQi nKS/NPa3b1OhoooriOAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAzbzSo5ryS +F7dWrmJY3MLqAVUsRnIPTe1cnZWzDTfCi/29dRnCExjyP3H+jSZxmMnqdvzZ+964I68SXN1bX6y QbAC8cI5BYAYzz6nPPv+J5Kzjs5V0sjw7KRZZiu2FqjZYR7TwCS3zEV6eGk+SSl+j6Pv934Hdhql 4NN/l2fcW+sbttE8WlNYuJIz5indHEfO/wBFj7qo5P3ePQd850prDVE8U2AGsb3+xXOGktlOBvgy MLjrx+XvWNdafpjadq2fDUvnzTM1u39llmAIXGMKSOQa1LXSdHv9fVodKlS2S1YHzrSWFdxdcY3q MnAPSqq0qbtUl08l0StfW250ufLHy1+yv5Uip9n1QeH9w1GAr/bGNrWpPzfb8buHHG7nHpxnvW5p qXi+Jr8X08E0iWdvsaGExABnmyMFmyflHOfw9Zj4X0YrsFntTdu2JI6ruznOAcZzzn1rn7q30bT9 Z1RZrq4tXFtF5Wy8mQn/AFh6hsnk9DxQqka6lGN9bv4V1a7Mx541lKK83surXmdvRVLRmZtD09nd 3c20ZZ3YszHaOST1NXa8yUeWTXY8+Ss2goooqRBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQA UUUUAFRxQRQGQxoFMr73x3bAGf0FSUUXAayKzIxzlDkYJHbH49a46Qk3U0oZlkZ2y6MVJGT3HOK7 CaVYYZJXztRSxx6AZrjF3bRu+9jn6114bqzgxsrKKRJa2zXF1FBEhwXDttOAoyMt9cd+vSpb+9v7 e/8AEUttYxzxxwIrO0+zGIy3TBz971q3oJP2+UYJHlcnsOf68/lU9/4ea7mvZIdVvLYXq7Zoo1iZ G+Xb/EhYcehqMTUmnaP9df8AI7sqdOMW6nXvfuu2uxo6ZGItKs4wSQkCKCfZRVqmQxiGCOIEkIoU E+wp9YNt6suTvJsKKKKRIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFBOAT6elFFAEcM8VxE ssMiujdGU5qSsqdX0u6lvY03WsuDOijlW/vgDr7/AOcLJr9mvMayzL2aMDB+mSK19m3rHVGbqRj8 TsJrl2I7b7MvLyjnnouefz6fnWJa27Xl0lujBSwJLddqjv8AyH41PqV3Fe3Syw7sCMA7lIIOTxz9 al0JgupsvTfEc++CMfzP610xXJT8zgm1VrpPY3LSyhsoykIPzHLMxySazr3xNY2L3YkhvHSz4nli t2dE+UMfmAxwCKk1e8vobvT7awa2V7mR1Zp0ZgAqFuMMPT3rM1GxubLwprTXcsUk1wzTMYlKqMhR gZJP8NedUnJ3aPew1Cn7vPs7WS9bdvU6iiiirOQKKKKACiiigAooooAKKKKACiiigAooooAKKKKA CiiigApMgkjIyOopapzWuy6lvo3YSGAxlOAGxypz6jn86cUnuJlyuLYh5ZHVdod2cD0ySf611tkx ewt2ZizGJSWPfgc1zsunXb312kcSNscuMP1DEkYyOv8AnmumhaLkmcmLhKcVyorRRSTy+XChkfrt Hb6+ldDpulrZfvXbfOy4PovqB+n5VJpVm9lZeVLs8wuzMUJIOTxyevGB+FO1S+GmaTe37IZFtYHm KA4LBVJx+lRWrXulsXhcLZrrJlO+/wCRn0j/AK5XH/slHif/AJAMvvLCP/IqVHbxandeILa9vLKK 2hgtZowFuPMLM7REHG0YwEb86k8S/wDIKiHZr6zUj1BuYwR+Vcj+GT/rY9aGlWlHtbz+0zXooorQ 4gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACsqG5W+ur/TJi5VU2crtJBGGORxznj8f StWkCgEkAAnqcdaqMkriabBVVFCqAFUYAHYUtMkk8pNxVmGQMKMnk4z9B1oilSaJJYzlHGVOMZH4 0rPcY+sjxT/yK+pDs0BUj1B4I/KteuY1jVG1OyurC10++l/frA8qxgocSAPznOMZ5xWc37rOjCwb qxa2TX5nT1keI/msbWP+/qFpz6bZ0b/2XFa9ZGv/ADLpsY6vfw4/4CSx/RTTn8LJw/8AFizXoooq jEKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAydbmu0m0u2tLk2zXV2YnkCKxCi GV+AeOqCk+wa2OF1uIjsXsgT+OGA/So9dl+z6ho9xJDcyQQ3Du5gt3mKkxOoJCAn+Ij05qT/AISX Tx96PUUH96TTLlVH4mPFZ3V3d/idqjU9nH2cb6fyp63fkxDb+IVBJ1bSwo7tpsn6/v6k0qD+zU+x T3Cz3czy3MkiRFFO5yeFycAbgOp6VUvvE2kGyk3EyjA/dzQOitz6suPfHtVXQtKg1fSo9SvJtS+0 XDyudmpXCBQZGwAFcAADAGB0Aprl3Wvz/wCHFJVOR+1XKrr7K139Pz+R1NZGt83eioPvNfjH4RSM f0U0f8I9AOEv9VVew+3ytj8WYn9aWLw/BHe21015fytbOZEWa4LruKMmcH2dvzofM9LEU/ZQfNzd H08vU1qKKKs5gooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig AooooAKKKKACiiigAooooAKKKKAP/9k=