20201204 07345100 1.0 TRUE This data contains a set of geodetic control stations maintained by the National Geodetic Survey. Each geodetic control station in this dataset has either a precise Latitude/Longitude used for horizontal control or a precise Orthometric Height used for vertical control, or both. The National Geodetic Survey (NGS) serves as the Nation's depository for geodetic data. The NGS distributes geodetic data worldwide to a variety of users. These geodetic data include the final results of geodetic surveys, software programs to format, compute, verify, and adjust original survey observations or to convert values from one geodetic datum to another, and publications that describe how to obtain and use Geodetic Data products and services NSRS geodetic horizontal control vertical control ellipsoid height benchmark orthometric height latitude longitude NJDOT This data contains a set of geodetic control stations maintained by the National Geodetic Survey. NOAA, National Geodetic Survey and cooperating organizations NOAA, National Geodetic Survey and  cooperating organizations /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKK57xRq+q2dm0Phy2tb7V1Ks1tK/3YyD85G4E8gDr3oFJpK7NLWt XttC0mfUrsSGCHbuEa5Y5YKMD6kVahure4OIZ45DtD4VgTtPQ/Q148/jbW/GOi6l5lxomkaNu+y3 RuN7zRqRztHduoAx2PQjI5rQ9QufD3i9fs0mqCKds2uXTzLiPkRI6EYAYADIHfIHAoOaWJSkuzPo uivOPC3xIsLfQFt/FGoGHWrdnSeKSFlkPzHbkBcA4wOv1wTgd7p1/Dqen215BuWO4iWVFfAYKRkZ ANBvCpGa0ZaooooLCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAK2opNJpl2lu7 JO0LiN1IBVsHBBPA59a8IhvNd0rwlp3im38SsFvTJCyTANNHl23MuT+86A88DJOMnI674kS6fqOu LpEk93fXEtmyRaZZzEkTbsq7Jgp0JyTk7eQOOeF023tNP03Tf7Utb2NLe5m2k2/n2dzklcRhWADA 91P48AUzir1Lysunn6FiLw/dXHiWWz0iGa21K1kW+t5r+He2Nu5/NY/KP3mCMg4P1OdaTw19t8Yz 315et4e1iSVFs7VF+0ospJYM7ldpVnViF9SOOOeZutA17TtQ0O2m0ULc3e0Rq5b96SxOH5AyAcY4 wMZxmuz1PUNQl1rW7G48O213HFElzJDFMyDzYwAZDuIJjwduAMHj3YhjB2Wq6/59v68ihZX6Nq93 qvxG0u6Mdxb+VBJ5BeABfldgANytgZ49WxjimaRqvhx/EXiC8aC9j02YJZQNp0LgQQjafNduCuSg YY985yBUMnxFnmiS3jtoY9OeyKS2JlaNERXOFVuG3lRjdyCTgjoKzLdtZ0/+1bXSIXk0e4iW+kt7 /LyTw5GJAVwcDO5mBzwBztNAe0XT8vI6Twd8SJ9Nurqw1a+GoWX211guZpmMwhIyrYK5K5B6kHkc AV6Xp3izS75LFJZ0tbu8hSaK2lbDENnbg9CTg8dfYV8w2+p39ndyzrKzOXKyxyksrnGxSeRnAY9+ 5HTIr0r4cWuo+K/GlvrWo3KXUGlWqKjCAIBuB2J0HI65wfujkjBIXRxEnJRPcaKKKR6AUUUUAFFF FABRRRQAUUUUAFFFFABRRRQAUUUUAFcp458bWng7TlZ0eS9uFf7OgQlQRgbmPoCy8dTnjuR1dcL8 Q/Dupa1c6LdWFhFqC2ckvm2ssiIG3AYJLA8Ar255FBnVclF8u555dW15YaxdalN4xggvru1WY3cE YnWSQn/VoyDcuAQMgDg4wAcUtxDaeIdLaxupry58UvcFEtDaglUBZl2qdqxKeCSCePQEgY+qaA+l O63brpup2MKvLEpLG4DMw8xNhwpG5QRwME8k5rbt7TQbfwlfatrOuJP4hxIkCRagkjAYIRRsYnBB 5yfzGMs87Vtq2nm/61MlzrFjPYpqOnaudfhlLLefazvNvChMiIuMqvow3AnPauw1D4p/2zf/ANg2 US20l+IIobqM+Y6mRQXQqQMkE7eoxyeoxXmWuWaac8RTXBeO1vHIGAYlHbny+GIG0Zz7DjnOM2wu Lm0LTIkTSKqguwDeWcDBDrzk8YI7cHINBKqyhotjpdPt7DRvEFpqMEMuq2ALTPbk5kQggbnAXHDH IU8DKAZzkx+M/wC0rC6Ntcie2SHCC2ZlO3I3kny+Bn72Dn0Gcc1PD+uW2lvqDMiT3E6CLeZQd65+ dW543Lxu4IPvnEulaff+N/GMMG8z+bIJnDMdqRBgrE5/ugqMA9uO2Ai91yrd9F/XkctHCj3Ea2yM 8uSiRxgksOgXAOASWB7nnAxX1f4Q8O23hjw5a6fbwLFJtD3G053SkDcc9+ao2HgLwj4bk/tKDTo4 GtgZfPmndhGAM5O5iMADOT6Z68108E8V1bxzwSLJFIoZHU5BFI9DD0HTbcndklFFFB1BRRRQAUUU UAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcB4g0PXY/Gc2rWWmR6tp15Z/ZLi0a5WI7fXLD2B45/ THEfDzw7PfanZX0ulWqx297IZbmQ5kjdV+VSu4cFmXPBJOOeK92rzbxv8ODcrNrPhbNrrKt5vlIw CTNwc4PG7IB5+XrkZ5oOWpR1U1rb+ux5L4rsIIdeup7FZJUSHzbmRrfyk3MMNhGwVXlf1wMHFWfC ekwaouoatc3Fv5GmIk8qTxSN5q/3eOQCMA9MZHHDA1n1zV7WQ6XqlzJC8U7CSO8Rgsbls7nQDaTk 5zjo2RnOBV1jUNJAtoNKWWKQKEuXB2Ddk5Axg45UDcBgrjkHNM87Tn5u3Qybm0e+vLmO1VLiGIsy NC5KqORkF+QuW6nGD15Na8F1rfhDUFmsFl065NubeRyytubdiTggkAMpGeTkZHFV0uLqytZhDBGx uVEaToDlULEMV3diA3UDqceo6GTxde3djHpOrW32iO2tDDlD5hRdpIk2t0YZXLZUhVOQQCKAg0tt GJffETxbGl3o0mrXLbgwMj2yiVR0Kn5QVI4B+p5r1T4PaxPqngkQ3MpkkspzApY5bZtVl7ngZIHP QY7V86XDx3F0Wk5uHfcZGxy+Dz83JB6+5z25r6J+DWnfZPAUd2wxJfTNMQewUCMAe37skDJ+9QdW FnOVXV6WPQqKKKR6IUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFY3iLxHYeH9Nmmuby1hu PLcwRzPje4UkDHXGcfnQJu25o3t9aabavdXtxHBAgyzyNgeteW+J/jRaJbTWvh61uZLknYLyVAsU f+0M59MfMAMkE5FcBb3mp/ETxVbW3iG8nid0b7EpiO0OTt2gIBhc5Bbk/KcnjjpLzQrzTPCfiK3j sLCYxuvmP9w2s42geUpGTuVg2ARw3HOAzOOVec17mi/4BjajpmqavrEd54kvVW6ESJJcxW8aqzmL ciEkKC/T5evJwQBx3Om+CdBjiurS70KK9+yWULvbQklzKxYnaTKSOMZHA447Z4y1tINasND8P2D6 qL6ORUuXu1LW9ixLAAQjoxzweBx15bHQ6Zp2ueGPEUWlWh0pruJVCLGTafaiRkO5K/vAOQUQ5+UH kryGcbKXM1fz/rf+vQtah8NdHuLm4uIbA6FZWVypuHM5bzoQgLMo+bB4A6468ZzmK/8Ah/4H0TQP +EihMup6dvQSmW7Zw0ZbYfL2Fcvnjk4610P9q31zrclr4bsdNudWmWM61fOzm1UqrKEHUk8Y4/o2 3C8X/wBsx/Dq+tNQsNM0do7xWhW1kH+kDcSxRex3Ybntk8YDUGrUEpNLv0PHbljc6s6WMMiW8jn7 OiS5kGTwhzktwTyCB06cCvrTSNPj0nR7LToQBHawJCMf7IAzXzl4GtjrXxB0HzLeFIlbfhMkO8Q8 zcx5G7jP1foM5r6ZoYsFHRy7hRRRSO0KKKKACiiigAooooAKKKKACiiigAooooAKzdf1q28PaJc6 ndcpCvyoOsjnhVHuTgVpV4f8U9U1W38WWkWsxWsmhRTB7e2YjbMuBudxuDHbkjHtgDk5DKtU5I3R n6/4w8T6vbyPqVyNNtS/l/YYkaOSRJBxkHhgFAOc9WPYgCv4p8HaTpM9+JdeZZls4bmKG5UNMTwN m4DaTlSOQRjA6AmvSrC5hn8LwajYarptrYIsTyyW8DTPFI7hpV+YkqGyvBHHGRiqGo6FaXVze6Xe W9rHb2sZtUuLcqiWkczFw5Eg+8CF5Vv4uOaZySpX+LW/9f1sc3oPhiCy8L2WuNqttZzLaiSyvxdu 8iSKxzHsAKsuzg4BI6cjium8Az6nfeIfEWn+JYrRrhHil8rylG/kkOBtywHy4JPHHrxDpCJZTXvg /WYdO1CLSnW5VpYsO1sVyXRVBJcMVHqSxGT1rC8f6hca1c2y6bexSzxWj3ZvIG+zlYJf9XGxLcgb lY5HAPuTQNe4lLt08+p1Gp+LBfasttp7y3mraffS+VBYQOybdrIomLFQATnLDPA46805bLxl41Wa HUIotKjEaSQxvbEEfMVdRJ95CQCeM8FegJzk+DNRbw9LceH9a1KTTftflT2dzbyo0O0HPy/LwH6l mA3Y5Azg+oR2N5crDZ6k32mGFY5hexyGJpZVYnlF4A4B64/ojSC9pq38v8+v6Eeg6cthFIllbzWV lEGhisZFULuDHMgYZY7s9/14rzn4qardapaWOg/2fA995TXN2kbea1vtG7AIIx8oJOeOmN2MVd1b 4rYtNatP7Pula3keBLu0fgZ3bTyMg4U+/Hbt5pMuq+LfEKhX+06tfFA0kQwrIVA2uV+6u1eT/sk8 g0zKvWg4ezg9ztPhfax3HjQTWNrMbGysij3TDHmTNgsX9OWcAZzheRkk17ZWJ4U8NWnhTQINMtBk qN0sneR8DJ/TA9gK26R10afJCz3Ciiig1CiiigAooooAKKKKACiiigAooooAKKKKACuK1rw/rE/j hdRtgr6ZdWBsLny5RHNCGbJcEg5xwcdffGBXa0UEyipbnjviG4ttP8VRr4bhT+3nYC1lsJ/MFwPl DpcICFHILE9eMnjJrJ8SeNfFN3JeaXcWsluqbkvFliDRwbtrKAVHUdmJ547cnu9Y+HyT+I5tX0hY 7CZrdiJoj83nHCkquMKdmfmBzk57knJ8U674p0+za6+w3Wm5RbIySXiyRruAbzAANzSDDDcv64NM 45xlFSb09Njg9NgPjb4i20eqa686ajbqvmQ24Vl2KxaL5hgcockAg8cc13qeHn03TJbTw3pJmae6 WUG+sc5RHVXSR3PViA3ToCep443xLbWGg2ui63pH2oaq8hle4ufM3XTJsJlG77ynIxkDOBnvXrnh jxDqGreFLLUp7eG5vJ5AJYrRgoiUuRkhmPQe+f1oFSipNxlv38jzjxNqomvYtDEEsL6ptudXeSEv MuD/AKpVCkqiqm4Z7OpJA3Vj6t4l8Y+F7d7VDd6fpEgL20N4wEyICMAOcMOeNpxxnnqR03xOij0j VbPxVYW8ZDPs+0Ws7GSSXDAcfd4x0GCTnrzjhtM0rxV8S9SDymSTZF5DX0/McS4HRgMbiCeBljnn GS1BnLmU3Fb+Xb+v62Mi81CbUL64S0BitL25kmjt41DFS7chRjnCgDpnv61774B8C6f4Ys0vxHK+ p3UC+dJPjfHkAsg4GBu9s8D0pPCfwy0fwtcxXoklvL6NSBJLwikn7yrzg4wMkk47812tB0YfDuD5 57hRRRSOsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArmJdDv7qebTb+5nutOci4t7s OEltpVbIHH3uTkHGBtHtjp6KCZRT3MO88L2Wq22mx6sz3stiP9Y+F80ldrbgOx9P/r58l8beErXQ vEUs2j3E0MRgMshjkyLEg5yQOxXKheM5HJ6H2u3e9jsXe+SF7hS5C22cMuTtAzznGM+9fO99q3jH x1fvYwwXUkRlG6JIlO3BYxmVggAHJ+8QMEcDg0zlxKjyrTUo6HFqfiXVLHwxDf3B015FIhQExxop HzlOn3STn1xk5zX0rpWlWeiaXb6dYQiK2gXaij9ST3JPJPrXP+BPBNv4P0shiJdRnA+0TZzj0RT6 D1wMnk9gOspF4ai6cby3f9WCiiig6QooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//2Q==