20221130 16473300 1.0 TRUE BLM_NV_VRI_Inventories_IOP Nevada United States Colorado recreation disturbance energy Bureau of Land Management management Visual Resource Inventory Public Lands BLM Jurisdiction anthropology observation points boundaries location planningCadastre environment The Inventory Observation Points feature class shall be representative of those locations that are used to support the analysis of scenic quality. An Inventory Observation Point (IOP) is determined and used as part of the Visual Resource Inventory process where land use planning-level evaluations of current scenic quality are completed. For the Visual Resource Inventory, an evaluation of the scenic quality of an area should be done from viewpoints that are most representative of the area being inventoried. These locations may coincide with important viewpoints along a route (road, river, trail, flyway); at a stationary location (viewpoints, campgrounds, or some other location that is similar to the remainder of the scenic quality rating unit); or along the boundary of an adjacent parcel (national park, wilderness area). An IOP may reside either within or outside of the rating unit being inventoried. An IOP is primarily intended to serve as a typical, holistic representation of the area being evaluated for scenic quality. At least one observation should be taken for each scenic quality rating unit, and the information taken at the IOP(s) forms the basis of the Scenic Quality Rating Score that is assigned to each Scenic Quality Rating Unit. <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN><SPAN>This feature class contains the Visual Resource Inventory Observation Points. This feature class participates in a one-to-many relationship with the observation table for Scenic Quality Rating Units (vri_iop_sqru_tbl). This table includes attributes that are used to derive the unique identifier for each analysis location, and to document information pertinent to the inventory observation point. Additional attributes serve to store the required feature level metadata information, as well as document the origin and characteristic of each point.</SPAN></SPAN></P></DIV> Bureau of Land Management <DIV STYLE="text-align:Left;font-size:12pt"><P STYLE="margin:0 0 11 0;"><SPAN>These data are provided by BLM "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office for which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This information may be updated without notification. These data are provided by BLM "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office for which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This information may be updated without notification.</SPAN></P></DIV> /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2Rxmu 5HmMf5KhPm5qeZ3K5VYrNGVXcfXpWidzNqwyqEFAE0KFu9RJ2KirlpI9o9aylI2jEd91vUd+KndF aJgcfNtJx2B70r33HZLVDjKX2oMovHfPP41HLbU05+bRD7jlEJfLDkAd/elDcqptuPhiVwrM2SP4 Qen1pyk9kKEFuy1WZsFABQAUAVbyQAxpnknNaQXUxqvSxCxDKMHpWiMW7oqTMA/NbR2MJbjoW6qD 1HFTNFQZaDb1YbcHjHPcVz2szrvdCueMkZqo+RnLzE2gDcfyFVfoK3VkdUQOQgZzUsqLEZtxppWE 3cVPvCh7BHcmIyMVBqxNo3Bh94d6T1BaO40qOWLHcTQr7IHa12QSRK3IyfwraMmjCUU9is0fPTFa KRk0Pjt954HHrSlOxUYNl2OJY1wOT61hKTZ0RikPqShjxggnHNUmRKKKrRdxWqkYuIgGBTYIRgS3 ApolrUlb7oqEWytO3RfxrSKIkyGrIADJxQBdhQIuTmsJu5tBdyfPmHCcfzNY7bm+/wAI3nYWIJ71 VybO1xqOSqklcHPy8Z/Gh6jWm44fIWDRgjOACf1pfEP4d0KW3dQVYdQT39qcVYU5XCMojF3DNjkY 60STewQklqy7FOsvTIPoaycWjojNS2JKkoKACgClds4nThSgHXHINaQSMKrdyBmAyTwK2SMGynIw kfitkrIxbux6HGDSYJ2LqHdzj61ztWOlSuhzYRcDj0pLVjbshN+V5XIqrC5tCOqIJEAVcnvUNlxW lxSBtIK7f50ru+hXKktQVAPem2JRQ+pKI3Lhf3alyDzinddRWfQmSMsh3jDH9KzctdDWMNNRrBkZ QcEHvVJ3IlHlGlFPVRVXZPKhQABxwKB7BuHHv0NIA/lQAtAETockgcVaZnKJCVOeKu5nYn8oZ68V nzGvIMeI4z1xVKRMoGfISXORiuhbHO9xtMQ5FJOaTBGjFHvC84zXNOVjqpw5hXiKHGQfbOPzqVJS LcHHYVmbIzzQkgbl1ABWkGMbmBxz+dJvQaV2BlkQHkYU4Bx/Kjliw5pIa4fJZ856Hmqi1siJqW7I Xcq3tWqRi3YkEnlYcHgEZ+nes5K6NYys7mnXOdgUAISFUk9ByaAM+aRbhwynAAx15raCaOapJSKk 5LnA6CuiKscsnch2t1xV3RFiRQQMVLGi3C21eaxkrm8HZCsxY0JWG3cUORx2osCkxMgtkijoHUc7 lWG0HP6CotfQ0vbUeq8ZPJofZAl1YoZSAQetA7jHSR48xDvyQcZ9aXMluHK2rouAADAGBWJ0CHjJ PSmIhbzHbIU7R0FWrIzlzSGM+0gbSTnGB1qiHfYUHI/x4oAQjkDnHXg0BdigAdKAFoAKAE2r6U7s VkKM4GetIYhOMe/SgCOW18zkoR7iqjVsTKjcqNaEHhh9Dwa2VVMwdJoljtz1bgVMpjjTfUnSQRkb SGFZyXMbRlyMfHIp3BhkdehNZyi0awmmPaFQhKjjggUlLXUcoaaEWwyFQCABntzVPTUhXloIpUqi 5A+bcDnFEt7hG1rDnijldjHJ85GeuRSUmtynGMtio6Nkg8OvUevvW8JnLODQ5QGiKt0IwactxR21 L1pM0qMHAyp4x6VzzVmdlOTktSxUGhFcvsgLc9uAM5pxV2TN2RnkgfdUr8oyD2NdETkm+xEy5rS5 k0RswWqRLERs02hJlhHXYSzBQO5rKWhrF3FVy43BG2YzuPSputi1FtXJQhIyKLgk2PWMDryalyLU bCNx94cBs5HpSW43tYeSOO4JA496TGhZIvMc44Ix04qVKyLlHmZMq7c4PFQ3c0SsOpDCgBruE+tJ uwmwVw1CdwuMaMlyQeDWilZEyjdgsX3t5DZ6cdKTl2BQtuNMLJjaSwAwcnn61Sn3JcOwhBUgEdap O5LTW4ZFAgoAD8rFT2pJ3G1YEdEf5yAegpSTY4NJ6kxdQcE81k5JG1xjSryMZqeewrkLxxSLkrx6 ZqvatIhwiyWMI2CQuRwOOlKM292UkhWjIIaPg55GcCtFLuJxtrEiCzySlXKgKB/wLNVeKWhNpN6i G2bcqkDYO+eRT50L2b2HtGkR67ULbj7VKk2inFJ3IvL25ZCA3YgfWr3Wpnazuh1xGZBHKCofGNp7 8VMXyuxU48yTIIhuOORn1Fbt6XOdLWxPp6kCRiAATgY9BmsajOiirJl7pWZsVJLlw5CbdvTPetYw utTCVVp2RWKsc8mtU0jBpvUYRiqTIasVOC5B7mtehkTpANw5OKhzNFAmt4A8jSyDMS8IvqfWuarU sjppU1u9i0X3cFRt9K5ed3Nxi+WN4Q4IPI/pWqm4/ERaL2AEsRjoevtWjaW5CTZKIW5y+QRxgVPP 2NFT7sVoEKgdx0NLmY3BCNuZ28s8gfrT6ai1bdiaoNAoAjctuAUVMm76CYOMx/McfhQ1pqDGxIch j0qYrqJImrQoKAGM4VsdalysK4Abhl1B9KabC19w8pN4bABHpVXYuVXuOKKeqj8qLsdkV2JIAOSt aWV7mLk7WBTtOAARnJyKUrbscW9iTyyRyMk/pWHKa2GOm3vmpcbCsKHXulHMuwXFYBcMo4NNq2qA FlPcce1Cn3HcmyD0NaDEJwCRQBVcrMMsp2HqM9fetUmjGTUtyNmfbjIHvV6Gd2hLmRJbUF1PmL6d Af8A69TGLjIqclKHmMBESgVqlcwbsWrJ8mRQRjO4D69axqKx00ZXQy8lDSmM52KBkep6/wCFVTj1 IrT1sVlkJb29K2cdDnUtSaMxLI7uM7sce9ZSjJ7G8JRWrEYh8lcc/pVRVtyJNS1RVETbsn8K25lY w5WTjfkRxjMh/T3NYyaWpvGLeiLTFIY1hAbgccda5bc8jpbUVYREVUwSQ2OFPNKpyt6BFWWoGMjk kAHr3xThPlWonG7uK+3qv3fXtWUn1LGLNIXHIwKlTlcV2Wwflya3LEDr6jmlzIQrHCk+1D2GVo7h 3dVwPesozbdiFJk3mqX2Dlq05lexVwmyIyR260T2B7DYZAU5IHpzShLQSZNVlBQAhAJziiwCk4GT QAdaAI3Zgxw6AehqkiW3fchSRZBlWyK2aa3MFJPYcGKEnGR6ColG5cZWEmuPlVU4ZzwCcdKUYdxy qaaFYXZikKs+/PcjpWvsLq5h7ezsTx3MMkyxnhyuR6GsJUmtTeNSMnYnkQBCemKyklY0ZCCVziov YQquy9KE2guPZ96FcHJ7VrCSvqKWqG1uZAn+vHHGDSlsVD4hk0G5yqqcMOOOAaIzstRTp3ehTnPA I+hHoa6KbuctRWIopWRvvEH1HUVc4JomE3FjpJmdsswZj1OKUYcqHObkxy/KMnrQ9RLQOWNGwask TjipZaJotjH5CCAP8ism2axSGLvgaZwpJYjGPTFRUTlZIcHy3JZdxZMMN5Xr2xU0092aVOg2NJSm 7OeegHWplGMWEeZq5MkW/O5So7Cskr7lqJEIm3mPf+BqOV3sK3QfJD5cJ2nJ78VUoWjoNqyHwO/C up56GnBvZjTZNtGc4q7IoSTbsO/7tErW1E/ModZPk4BPFc/XQz6lxMBOSAw74rdbGiI9zyYUNjrl vWou5aC1ZCYpFbGOc9qzcWibMdibgtnGe/Sq97qGpa8zaozycc10RTaKcktxjTkfw/Tmq5CXURG3 KM56Ac89arrYjdXK7XzOjBR0Faqgk9TJ4htaFb7VL/erb2cTD2khIHdGyhwO9EknuKLa2J3vQV2h trewzWapM1dVEUlyz8KNo9e9XGmkRKo2QVoZjxyowxVlOVb0rOaLg9S8s0kyd9w4ce4rza0ZKWmx 2xk5IuBN6DOAcdqdrrU1sR+bBCxWSWNWUZOWAOKErAkMmubZVP76PKkg/MOMDJpSWgMbG6uu+Mgq ehHelGo0Q4pjo2/ebie3I/OtpzskTBa3LY5FSbFO4g+ZmwSjct7Gtqc7HPVp31M6WPy3wOldcXdH FJWY1CA3NNiQ95OeKSQ2wjkAzmk0NOxZiUllbjngZrKbsrGtOLbuTxIUQ85VTisr6nQk7BLHJKv7 sAEH7zdKOZLcXK5bEghk2jO3cBjJqeZIvkb3JwMCszUWgAwM570AMk3FcKOpqZXtoJjlGFAznFUh i0ABAIwelADDGApCAKfWpcdNBWIChRgvB9c96zs1oTYkZjDEoAycYq2+VDeiGm4Urg5yPQUudWDm GGWRU+ZQQ3Sp5mlqK7GCQlOVwSSOK66covYxlewxTmtmjFMfd3Cx22wfeYVFKm5TubVaijCyMwHq P8mus4h4XjkN+FK47FYknqTj61paxFxVYgYpNAmOEnrSsFx4ORmkUKDgikBajeRX3Rt8xPIJ4I/x rmqxVrnRSm76GjHmPYh7j9a446WR2rQyppY7ibdJpMzs6MCzKRwpJAP1Kgj61QxCY3WcHSpRuJZs Z+YtGcn/ANloYE9rG2GiSJ4hEq7cqdpGOgPtWTg9yOVk+8pglfmPtS5mtxXsLLdMI8qpBAz9fpW0 ZK6TFKbtoQu5mUAOXxzlef0rptbYxcnLdiNE0kCs/wAp7g9quMrMzlC6uUmGGIBz71ujBgoycUMB KYFiCdU4cEjt7VnOF9jSE7bl+LbK3DcHn61zTvE64WkWQABgDArE3KR0xGmMv2ibJZmwGGOfw7UW AaulpGmGurllAUfNJ6EHr+FFgLFsiW8WxZXkBYnLcnmnZi5kWKQwoAKACgAoATeo6sPzoAMg9CDQ BHHDsJJO4mojG24kgeJXIAXGOc4ocUwaGSR7+WJCpx9amUb79BNEJlViSRx9K6KMXa/cxnNXKzSh cnoPU118t9Dl5ijLKZXyeg6CtoxUVYylLmYgb5fUU7CuL5jDoWH0NFkFxlMQUAAoAlBUDGamzKHA 56Uhlm1ZmnVQeTXPiE+TQ2oP3zXwMg45Fclj0BaACgAoAZI0aDc+PTnv7UJXegm0tWUZJIwC0nXO Quc1vCkzlnURUe8ONqAKP9mumNJHPKq2I100sQRj0PXuaapqLuhOo5KzI6okkjU7SalsaRGx6mqQ h9sollVWHBI/KpqvljdFUlzSSZrCGK1BkGcehNcTlKejO9QjT1RVN5KZBg/LnpW3sopHP7eTZLHO iOMHCsfmB7e9ZygzWNRJ6D5J/OJiiBLA8+nFTGPLqy5S5vdiN+zzKwcMN31q+eD0aM/ZzWqZbXO0 bsbsc4rF+R0K9tRaQwoAKACgCo2m2zTNKUO9iWJ3HrjGfy4oAlgtYrYv5YI3nJyc9sfyAoAmoAYZ UDYJp8r3J5lexSvLli3lxjjua2hRUleRz1azT5YldJHjid3GRjitXFOSijGMmouTKLuZDzwOwrpj FROdybGgZpiFHegBCMUAK2O3ShAJQAUAFAD1VhyKTaHZkqkqQRUNXVik7O5swXKzJzgH69a4ZwcW elTqKaJ6zNAoAjaUBtvepctbCuVr2VSgwM7Wzk+tdFKF2YV5q1jI3lmrutZHBcRwB0600JgihutD YIlUAdelQyhxkOMDgUWHchDFz7VVrE3uWLdGeZQg5zms6jSjqaU4tyVjUNsXx5kjMPSuNTtsjudP m+Jim1jVSUT5u3Jo9pJ7sHSiloijcW7bwFXGeMetdEJxsctSnK9hqxy28mRuVvX1pe5JB78H5l62 aVyxkPA4FYVFFbHTScn8RZrM2CgAoAKACgAoAKACgCCRBvPA57VrF6GM1qUZn2thlG4AZOa1insj CbW7K91NuhVVUKpPPrW1KFpXZlUneNktClkluMYrcwJvuJ71O7HsMHXmmIfuSpsyroRQGP8ASm9B Id5YzSuOwxlK007iaFRscGhoEyTIPepKCgCSKQo2MkA9cVE48yLhLlZq21x5qlT94d/WuOcOU7qd Tm0G3kxiAPb09aqlDmZNebiimsjlhIyfIW5J5rZwja3U5lOV7vYSdi8fy8gdT/WlTtF2HU95XRnk /NnpXWconWgCSPoamRSHM2BSSBke81VhXHxqSAB1NKTGjatLYQoCeWrgqVHJno0qSirvcs1kbBQA UAFAEW4pNtY/K3IqrXVyL2lZj3UOpU0k7FNXViLfIg5QkDrVWTI5pJaoal7HI2AG/KqdKSRMa8W7 FkEEZByKyNgoAMg556UAFACMyoMsQB6k07XE2luU5riNJSzcYGBW0INrQ56lRJ6mdLN5smQRiuqM OVHHKXMxjDdGRnpzVLRiexXCgHitLkC0gCgAoAfuUHgUrMYhc568UWC4MQelCVgbGgZOBTEPCHPp Suh2JKkoKAJIZmhkDjkjtUTgpKzLhNwd0XGuoLlVEgKt+lYKnOGx0OrCorSHXMTSqixEEAZJyKUJ qLbkVUg5JKJUdPK+UuOPatl72tjmfu6XK7KGAyOa0V0ZuzGyRFD6iqjK4pRsOUgjihghsnanETBW GADQ0wRLH/rF471Eti1ubqkBQCwzivNbVz1EOoGFABQAUARzJvj46jkVUXZkTjdAsq7MuwHrk0OO ug1LS7KtzfDaVjB543VtTou92c9SurWiZoYqcg811WOO5rWcnmLnpwOK4qseVnfRnzIjubwBjEhw RwTV06V/eZFWtb3UNtp33noRjp0p1IK2hNKo76l4/Mhweorn2Z17ozp5PJJC43V1U4qWpxVJOOhT kIdMs/zZyRWqdpWMWrxuVwMtgVsZE1QWRMeeKpEsbTEKpAOTQwJdw9aixRDVkkiqGWk3YYhTH0ou FhNpDcUXCxLUlBQAUAFABQBPbvJG2QcL3rOcVJGlObi7olghSaf5ySTyfes5ylGJpThGctS49tAB 8y/Suf2so9TpdKHVFaW2BGFcnnuKuniFfUxnRv8ACVJITETxkeorqjNSV0c0oOLI8ZqyRhjHY07i sPjyjA5zg0nqNaamhDdK42n5TXBWoNaxO2nWT0ZaFzGgJaQEDuKiNOd7WNfaRXUes8bqCGHPQHvR KLjuUpxaujNe1uXMn+nSjIcKB/Duxj8sHH1rLmHckME7AqbuRcgjIzkZGMjmhS7hc0I1ZYlVm3sA AWx1PrWgyKWKEbpXX681cZS2RnOEPikYzSeY7cYA7V3qNkec5XYlMRatpvKw3YVlUhzaGtOfI7kM zB5CwOd3J471UE0rMmbTd0Ptz82MHrSmEC/GGVRg4I4z61zOzOxXWpBLAXlLYzmtYzUY2MJQcpXI JFQhVz35wOntRq9ROy0ZTVfm57V1X0Oa2pKAD1qShjRr2NNSYrAEx15ouFhSMikmBDVkhQAoyPm7 UDJAwIqbDuOpDCgAoAKACgBQSOlIBwk45/SlYdzQtgFh3gcseD7VxYibvY7aEUo3H1yGoUABj3oQ RwfWtqU3AmUOZFKSzkVC4Hy+ncV3QrxlockqEkroqsdvWtlqYvQAwPSnYVxaQxoBzkmncRYtmG8D dj0rCvFuDSNaTSlqaCxOiiReW9K8xQa1O+1tQiV2m3EcHk0RTcrgr3LTMFUsegGa3SuU3ZXMe6uX mcjOFHQV20qaivM8+rVc35FZEO3dj61s30MUhaQxSwC4PrRbULjQQelAhwYqcg4NJq407F+GUSoH BIdeCufvVyyi4ux2Rmpq/UsxtsBLKd3aokmzSDS3M6b5HyccnoK3i29DlmluRAB8kZz6YqruJKSk StaSqAcZB9OahYiN7PQp0JLVETJjGCDWqkZ8o+RPlBFCYNEJGOtWSQtjccVaJZIUCnpk1N7jsAYF SMdO1FgGIDnpwabEiQLj1xU3KsLQAUAFABQAUAFAF6xl3DyG+oNcmIp3XMjqw8/sMnuliRPLeYxm UFEI65wTxj6VycqR12MwTWrZmGpSPHhWyAcYX5T+ZoAsxGC3lWV7yQLEjbkbJX7x5J9ug+lNbDNG eZYIt+PpitIQ5nZEVJqCuYExLOW9a9KKsrHlyd3cI+9OQkPqShjnAx600JixMQfpRJBFmykjeUoO RxXk1Je80j04t8quPJIYfMcjqalvUoklXfCwPcVrF2dwkrpow9paTaOpNehzJK7PMUW3ZCA7TxT3 FsK+N3FCBkUnariSxUXApNjQx8hyPemthMFdlPBoaT3BNrYs/aZGG3dj6Vl7KJr7WQ+NGn5Zz7k9 KmXujiuYtRWyKx2KXAHJJFYyqdzeFLXQk3kRF13fNyR6cVNk3qXzNLQoyS5YsUwx6nHWuiMLbHLK d9WQhiBjsauxFxGXIAz1qkxNCiHA7UcwcoTvhgoHuaILqEn0IkAJNUyUSdBUlChiO9KwCHmmAUAF ABQAUAFAADg5FAGpa7bq3zMquUJALDOOlcNeKjLQ9ChJyhdjFtLb7vkRBemNgxjNcivc0LRtbcj5 oIz9VHrn+dbWKK99KghEajjt7V0UIu9zlxE1axkyEYx3rsRxMIzxihgh9IYxyOlUiWOiUBgW6VMn dDjub8ZV0VsDpivNkrM9WLurjioOcjrU2RRUvZzGuwcAjtW9GCepz15uKsiKFlW0kl2qSBgHvmrm m5qJFNqNNyM/POcV0nIOyGJz1NADSO1MAHBoAjcYOfWqRLGhSadwLVpCJHK4JNY1J8qua0oczsas dqqgAjgc4BrjlUbO2FJRLFZmw0RqDkCndiUUtSlPb4yM9uPeuiFS5yVKVikY8gkdu1dFzmsNRQPm IxnuaAFMhB4xj3FLluNSsVpG3yMfetUrIzbuxoODmmIerndzSaHckqSgoAKAFX7wpMAYAHihAJTA KACgDXsEAtB/tEk1w19Zs9DDq0CZYgpz1rBRsa2IbyURqOeRXRShdmNedkZTuXOTXYlY4W7jCoJy apMmwoGKQwoAQgHqKLiAHnGOlAGvYyAxBc81xVo2lc78PK8bFpmCKWY4A61klfRG7aSuzGuJfNJO SRnjNd1OHKjzqk+Z3GBiISpPBNVZc1ybu1iDYf71Xciw8DFIYUAA5NAClAeMilcLDXUJ+HSqTuJ6 FjTpsThW7nrWNeF43Rth52lZl+5sjcO5NxKisgXapwBznP1rhPRI209GDj7VKCxfBDfd3en07UWF dCpp7IwP2uY4IOCc9FK/rn8xRYYNbfZ4Jmad3DKoCtj5SBjj61dP4kZ1fgZShzg+ldsjz4ibSUAN PqLoRVQiIRkHHaquTYQrhsU7gBUjqKLiHK+OvSk0NMeGB6VNhi0DFBIPFIAbhjQgEpgFAABk4oA3 YEEcCKPSvOm7ybPThHlikJI4/hYgg84pxj3FKVtjHubnzJDzkDoK7qcLI8+pPmZCHBq7EXHUhigZ IFIBCMHFMBCcDNAiME7s96voItW85hfdzjuKxnBSVjWnNwdxZ7l5uCfl7ClCmojnVlPcruS2F7Vq tNTJkgB2AfrU9RjWOATTQCK24UNWEhw6ikxgcbuKAEpgIy7hTTsJodFI8LAqFOPWpklJWZUZOLui SS/uD/EQKmNGCLlXm+o1L6VTyd31pulFkxqyRo2l6kikEnd6HrXLUouL0OylXUlqR6hPuVUXI7mr oQs7szxFS6silG+xvY9a6GrnMnYsKhYfL06D2rJs0SvsNeMxkArgkZ4oVS45U2mQytEo+UGtIqT3 MpNdCuW3HmtLEDmDEf0pJoYwgjtVEioufWk2NEtSUKoywpMAPJNMBKACgBV6g+lTLYcdzZQsLRA5 O8qBz1ziuG15aHo3tDUqXshjiwveuilFNnLWk0rIyc5JrrOQKAJUORUtFIcODSGKw5+tJAJTAMc0 AFADGc5wKpIlskRQepqGykSFQe9IZERyRVCBEOSAM/ShsEheQaAF3cg4FKwASD2waAG0wCgA60AN 2DNO4rDl+RgRxik9VYa01JJpPNfdgDjsKiEeVWKnLmdyOrJLtthYiznjOAPWueo7ysjopJKPMxNq +rH8apXRLszNYgtkV0o52Kq55pNgkSKCByaljQtAw6UAFADx8gB7mluMZTEFABQAEEq2OuM1Mthx 3NhZkliTy2BUjPvXEo2ep6DkmlYrzGN2KlScDrjj862jdHPOzM9raMMSGI/GulTdjmcUI0SjoSaa kxWALihsLC0hjlJzjsaTAUx+hpXHYZiqEFACYGc0XECncM0NALQMKAJYpAn+NTJXKi7Esi+ZHuU7 jioi7OzKkrq6KtamYUAFABQAUAFABQAUAFAF6PmJQR2rB7my2IWnCsQFyKtQuS52Kip61s2Y2H9K koKAHMu0DnmlcAZgelCQDR1pgKTn6UgEpgI2ccdaEIbuIIDCnYLjwcHIpDJYZfJB2MR/sYyKydO7 NY1LIDO7DkKfwquREObZGWJ6mqsTcNxPFFguIy7jwStNOwWEGcc9aGIWgY7zDilYLjWemkDYwPnr xTaFcR27A00hNiK236UNXBMcZOOKVh3BXz1oaBMeOe9IZNGSBtBBqGupSZG6lW5qkxMbTEFABQAU AFACg4NIAbGeOlCASmAr3T7dq8e9Cprdg5vYiBc+tVoTqSVJQ7Y3pSuFhQNnJ69qW4xpOTmqEJQA UAMkPaqRLGhyBiiwXHK+Tg0mhpjiu7rQnYLABgYpALQMkSFmPpUOaRSi2DIqttyc0029QaS0EBCH 1o3EG8enNOwXI845NMQm9fWnZiuMLk96dhXG0xDh900hjaYgoAXafSi4CqpJpNjSJakocjlM4pNX GnYfI25B6+tJLUbd0RVRIUAFABQAUAFADlIwQaTAdsBAwaVx2I2j7kVSYmgoAkG1R6mp3GNZyTxk U7CuN60wCgAoAKAEKhqExWG+WPWnzBYcAB0pXAWgYUAWYIc4Yrkn7orKc7GsIXJTCOjMTzk8dazT vqaSVtCrM25zzW8VZHPJ3ZHVCCgBrgkcdKaExgQkdeadxWHCPB55pXHYcQD1FK4BgCi4AVBouFhS gGOO1Fx2HpGW+lS2kNK5O9lIkYfjBqFVTdjV0ZJXIfJcdQRV8yMuVgYXHQGjmQcrHi2kI6ilzor2 bJobQggsrH6Cs5VexpGk+qJWs2Zc7Dx0qVVSLdFtES2TYLbSQPaqdVEKi9xgtCTxk59BVe0RPsmx 6WW8HAJxUurYpUWxj2bKe4+oqlVTJlSaIjbsBnIqlNEODQYIUg8U7iELMo5FFgE3L/dp2AZTEFAB QAUAFABQApGDSASmAAZ6UAPWNn6Ck5JDSbJktsMCxz7Cs3MtQLkcG+Rc8YB/wrCUjphDUbLnJB6j IqokT3M5/vGulHKxtMAoAKAFVWboM0m7AlckFvIxOBU86RSg2PS2kyDik6iKVOQrWbgZBFJVUN0m JHaO7Y7U3USFGlJlt7LO1tpPbHesVVN3QLcdtFGB8oJHrWUptm8acYkpAIwRxUGgxoo9pJQYHPHF UpMlxj2Kiws5wv4n0rXntuc6ptvQuRxLGOBz6msXJs6IxUdh9IoKACgAoAKACgCu9ojEkEjPbtVq o0ZSpJlSe1ZTnj61tCojnnRaKjxkcHjFbJmDViEjBqyT/9k=