20240925 14391200 1.0 TRUE 150000000 5000 ISO19115_3 Road Centreline represents the geometry of a road as a line (compared to Road Area which models the geometry of a road as a polygon). The Road Centreline is the median distance between the outer edges of a road. Road Centreline Transport Networks Feature Compilation Rule Link: https://rb.gy/fg01h8 Stereo-imagery, LiDAR Point Clouds, Other Features, Orthoimagery, Field Survey To achieve accuracies in Rural and Remote regions, sources of geometry may be best acquired by a terrestrial-based mobile mapping platform. Accuracy - Height: Not Applicable Accuracy - Planimetric: +/- 0.25m (Urban) +/- 0.45m (Semi-urban) +/- 0.45m (Rural) +/- 0.45m (Remote) Accuracy - Altimetric: Not Applicable Minimum Size Criterion: Length: Road Centrelines occur in all regions of the UAE. All Roads will be captured which are important connectors in a network, or which connect to another related feature such as a building or a Point of Interest. Minimum lengths for inclusion of other Roads are: 6m (Urban) 12m (Semi-urban and any villages in Rural and Remote regions) 30m (Rural) 60m (Remote). Area: Not applicable. Separation: 1m in Urban and Semi-urban regions; 4m in Rural and Remote regions. 20240306 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD13zZP +ejfnWxjcXzZP+ejfnRoFw82T/no350aBcPMk/vt+dGgXDzJP+ejfnRoFw8yT/no350aBcPMk/vt +dGgXDzZP+ejfnRoFxPNk/56N+dGgXDzJP8Ano350aBdh5sn/PRvzo0DUPNk/vt+dGgXDzZP77fn RoFw82T++350aBcPNk/vt+dFkFw82T++350aBcPNk/56N+dFkFw82T/no350aBcPNk/56N+dGgXD zZP+ejfnRoFw82T++350aBcPNk/56N+dGgXF8yT++350WQXDzJP+ejfnRYLh5kn/AD0b86LBcPMk /wCejfnRYLh5kn/PRvzosFw8yT/no350WC4vmyf32/OiyC4ebJ/fb86WgXDzZP77fnRoFw82T++3 50aBcPMk/vt+dGgXE82T++350aD1DzJP+ejfnRoGoeZJ/fb86NCg8yT++350aAHmSf8APRvzoAZT ICgAoAWgAoAKACgAoAKACgBKACgAoAKAEoAKACgAoAKACgAoAWgAoAKACgBaQBQAUALQAUFWCgVg oCwUBYKB2EoAKAClcAouAlMVgoCwtMQUAFABQAUAFACUAFACUAFABQAmaADNABmgAzQAuaAEoAKA FpAFA7BmgLC0BYKLhYM0XBIWi4wouAtFwCkAUAFABQAlIAoAXNABmgAzQA2ncAouAUXFYKAsFFws LRcLBmi4WDNFwsJRcLCUXCwUXCwUXCwlFwsFFwsNGdxPOPpRcbWg6i4rBRcLBRcLADRcLC0XCwUX HYWlcAouAUXAKACgYuKLhYKLhYXFAWCgdgouFgoCwUBYSgLBQFgoCwlAWFpCJDCFYK0gDHoKx9sj X2Q4WpIyHFHtkHsiG6MVnEZZ5lRB1JHSk66Q/ZDY5babb5d1G+/7uD1oVdC9kWBak/xiq9suwvZh 9lP98UvbLsHsg+yH++Pyo9ug9kH2U/3qPbrsHsxPsr+op+2QeyAWp7t+lL2wey8xTaH+8KPbB7IP shP8f6Ue28g9kH2P0f8ASj23kP2Q37Ic/fFHtg9kH2XBOWNJVvIHT0A24HRvzp+2F7Iq3FzZ2n+v u44/Ynmn7UXsyMXaSoDaRzXGehWMgfmeKftA5CtfarDp11BbTMvmzKTtB6VandXFyMZ/bloqAzOI HJxtmDL+u01HtUP2bNGFvtKBoJYHHQlXLc/kKPaofs2SC0uS/wDrowvp5Zz+ean2o/ZlgWp28sc/ 7tHtQ9mJ9mPr+lHtQ9mKLY+p/Kj2o/Zh9mP979KXtg9mL9lb1/Sj2vkL2YfZz6n8qftfIfsw+zH1 pe2D2YfZ/ej2oezE8j3P5Ue1H7MPI9z+VHtQ9mL9nOetHtQ9mH2f3o9qL2YfZx6mj2oezD7N/tUe 2H7MT7Nj+Kj2ovZifZx/eo9qP2ZjNdapcmeMx+WVRlyMEg44x9a49TfQoaXqWq2ulwQTQxRkfKsk zgZwemAetGoWMHxMb/X50iSVVKcYiO4Z/GluFmL4U0fVPD8YnED3c0kYCGRyu3g9R+GKprW4jsIN Y1QCFZtN+ZgS5SQYGOlCbCxXk1XWJrS5VbJo5hnYQw544xTuwsVNL1XX41KXOniWTk+YZAox2+v1 obfQEu5oDW9UZmU6Vyu7I39cDjFK7CyGReIdQZFD6NIrbsOA33V7EHuetO7FYc/iS4VAf7JunAwC FXknOOM9qLsLCR+ISsgNzpF3Gx4XaA//AOqi7CxDb+KQLiaN9Iu1jHMRWMkt659DRdhYWTxXZv8A KdP1DIB48k4z6f8A16LsCJfFUR3M+j36YyN4hyfrk07i1IZPGMinjTmjXywQ87CPJzyDmndi1MG4 8W3UzSM+rW1rHIQPLVd+0Y5wRk/r+VNJsLMt6RqvhOxZbmaaW4n4/wBJlgIHHp2q1Fkmrd/EDQZI 3jh1GRCRgOkJOPzFPldxnBXd7NqM89/HdSXSWZU+dIu1iCeOPrWqatYnW50Z8UaDcw+RPI3lbQF8 wZZD36cHtWDi+hau9zGguo9PujPpmsRpARgloyR16HjFLll2Jtrodlp3i8ttWeaymY8fuZSB+TVD 5uxaNKLxM0jMr6fJgEAFZFI/H0pczKsEnii0tRK9xbzRJHyWyCMfgeKXOFhtr4tsLk74kmdCCdwX IFHODiWIfEdvMHEUFwxTBbIHGfqaOdMOVlV/GenLJJGqyPKv3Y1HzPS9oh8jGS+MIFtpGS0n81Vz sK5I4oU7hy2MzTfH8CJBFfJIZJCWd1jOFHanzCsLefEextdQ8pVMkRX5Cv8AEcjr6d6XMwsjTh8a aS6+bJL5S4Gdxwc+mKfOFiQ+MdHUArchiyFgij5iAM+tHMFiq3jfTZ3WO3n8t2+67qNpP1z0pOQ7 GBZfES5TUlj1OGOO3DHLrySOcEc9OlTztbiOts/E1o9h9suSLVSpdUlYA7c8E89xzVqVwsXLTXLK 8tPtMcwaHcQGHfmjmCxM9/ZKwD3UaMc4DNjp1607isS/aIlA5B9xRcLDxagO7hjl+tFguNisUiVQ GY7c8n3/AP10WDmD7FHyAzAE5wMeuaLBccLWMHOSePyosFxy28SdF7Yp2QaiCGFSflXk5oshXYuy LoEX/vmiyC4vlxgZ2IPwAp2FcjeW2j+88S07BdlebVNPtxmSVAPpj+dFkFmZNz400G1BxP5jDosa 5/8ArUaD5ZGNc/EuzRT5FjKx9WZVH9aLD5e5zl98SNTlY+SYol7BVyaaiOyMOXXtc1m4CRyXEsh/ hjyP0WqURXSKl1CLcBtQv180k7oof3jr9TnH659qpRE2VP7RiimJsLRU+XaHnxK3I5PIwD7gZFUT YgPmzMGmdnIGAWOeKTZViQDsBSuM6rRLUt4Y1MgfeIB+iqzUIiWjRy7ptJFO5ViMB423ROyEj+E4 ouFiwt6ksubqHBIxvgwh4GAcDg+/HPr3p3RNjRspdQCBtN1JpGDYEO8xyY9QM4P4EmpaTHexYi8U 6hbTus+Qx4eORcD/AL57VHs0Vcvx6/ZyInlRtatu3SFP3gc9+CQR+ZqHSGdTpOpaFcKGubwGU5BR 12Aj8f8AGo9nYfMzcW30yNmnsbaOSfb8mRlAf5Uci3DmZzj3lxai5vdUuE8rIzFDGAVx6k1m9Clq WdLudC1V8C1mYg53b85/KiLUtLBJOI+Twroz3skqQ3W6VgSA67R9Mjj+tW0kJSNJ/COmzb0MkpZk wQxBx79KOVMXMylD4IWDUorpfLby4mjADbd24YJPB5osxXRmHwE9uiPc3duIk4bCksVz69M++Klq xSdzIl8GCeVTY4MyAkGR8gjqOP8A69F+4cpOfC2p3k0UtwGZ1BJ+TCnHGOe9J+QxW0i/02fzpPMi tomyT5gUH04/Lp0pbDbuZxe8v79bu8kEEaAlWhHKk9/foKdwsTQ2Oq3KGWHV1ZGY8ySHPX3oUhWP YC4HetjEYZG/hGaB2GNNtGWdV+rUAVmvoVODKWPooJ/lQMjk1JFGQrnHqQBTsFjNuPFdrajdJLbp 7bi5/IUBymRd+PbcZ8uWaT0VECj8zRcfKYd143uZjlLaMe8jFqNR8qMa78T38xObx41P8EeFH6c0 7XB2MabUN7FiWdj3Y5qlELkDXMz/AHeBT5RXL8Ph+/mtTd3G21th/wAtbltgb/dB5b8Aaq1iboHl 0LTXjMYk1OVRl9+Yos+gx8zD/vmmLUo3uu3t7GYFYQ2pORBCNiD8B1+pyaAsUEhZzk0XHYtJCFFS 2MfjJoAkRMmhsZ33hi0M3h/yRwbieeMY/wCuHH86aM57nDXMe1s4pJllfFADXjB6U7isQEMh4ouF jQg1qUKkV7FHeW6ggRzDlfow+YfgcUxWJks9OvI1+x3rW9wTgw3P3T9HHH5gfWgLtEV5a6jpMoju YWUH7rdVYeqsOD+FKw0xbbV5bdw0cjxOP4kYilyjNyz8YahGNrzJcxkYKToGyPr1qeUZoW/i9reF lisLZGJzlBtH5DipcbA9S/Z+I7e6uszzGEEdWHQ/lUOLHa2xd0zT75NTe5e4guomZfKeKf5sdw3Q flUcjuO6Oquory7tWhhuzbtn7+3cf502m0SmkziruC9trtrJ7K9ulTANysTbWPtzWTjJG3MmWZNL 1e0iE0VvnI67sfTI60SuJNXLOnXt+kqGd/MjUj5EBYg//rqoy7kySLeu+II4cq1r5sagZ3xBuvoM c03K4lE5lPGds9xd20Oj28xg+UhkCk8cjOOue1Juw+UyIPGIWEC90a3M3fcm0gdui88d6LJD1PSp tXkhGZZoIVHUk1tYzMe58W2MKtuvXlYHgRk8/wBKB8pjz+NIyD5NpI7djI/FAcpmXHizVJgwV44g eMIv+NA7GRcajcz5M91K+exc07DKT3Ua+/40+UVyu9+ei/pVKIuYhaeWTucU0kIktbO5vZ1ht4pJ pW4CRqSTTE9NzebwxFpsPm65qENk45+yp+8nb8BwPxNOxPN2IZ/Een6cAmiaakTY5uboCWU+4yNq /gKPQLPqc9e6neahMZbq5lnf+9I5Y/rQPQgVC3XpQwLMUHHSlcdiyExSHYKAFAyaBWJox81JlHpv hJBHpuinDfvL6boenyAc/lWkdkYz3Z5/qEfl3c6f3ZGH5Go6mi2M5lxQA0UwEZc9qQFd4+9MCL5l PFMDRsNdvLFfLSXzIP4oJQHjb6qeKBNJmj/xItX8tSraVcscMy5kgPvj7y/rTFqipqPh7UNNj+0B VmtCfkuoDvjb8R0+hxSsCZmrcSx98ilYosJf9m4pWHcuQX7xkNHIyN6q2KVh3N2y8W6naDAlWVcd JRnP49aQrHQ2/wAQQUAntnVsdUII/I0mgsa7eItP1MRql7ChYcq+R17c0nERDFo62k32iC4hC53M VyBgfQVm6bK5kahslvpmNzcoykY2omG/P8u1HKHMVL7whpdwkrxjyJXH+s8pX/Hgbv1FDjfcOdmC nhG3t18mTUI5SnAMthIxA9Mk9Kj2fZle0OKLFjudsn1JrYCJpo15yKdguRPeADC8U1EVyq907HAa q5RNkJkdj1p2FcBGSeSaYja0jwpqusAva2pEKjLTynYg/E/0oSYm0jUFj4Z0IP8A2jdvql4g/wCP e1O2LPoZO4+lOyQrt7FC98bXvlNa6ckWm2jcGG1TBP1bqfzphy9zlZJ5HYndye9IY0KzGgCeO3PW i4WLUcIHXmpuVYmCgdKBik5FAhAuaAJAuBikNE8KE0hnp+kRiDSPCo3BS127fXJIrVbIwlq2cP4h hMOvahHtxtuJBj/gRqHuaR+FGG4waQyIimIM+tACFA3tQBDJD1pgQMhBpgM3EHigDQ03Wb7S5fMt Lp4W6HaeD9R0NAmjei1HQdYVhq1l9juD0urJcZP+1H0/LFF+4rPoVrrwde/ZnvNNki1KzHO+2OXU HpuTqDTt2Dm7nPFHjYjkEHBFJlD0uXXrSsFyxHec9aVirllLgN3pWHct299c25zBdSR/7pxmkKxt WnizVbcr5k4nUdmQZx9RQFjctPHMTKVuYHiOeNjblPPfoR+tKwuVmrF4q0qWPc1wqH0YMTSsI8bk umbqTV2Hci3s3rTEKEJPXmgCe3sp7mVYYImeRjhVVSST7CmB1Np4EvEt/tWs3EGlW4IAa4PzN9FH /wBany9yXNdCc6t4X8P5TTbD+1LpB/x83Y/d59Qn+NO6Wwvee5zuseLdU1YlLm7fyR92CP5UA9lH FFykkjn2uDI3BOaQEeCTz1NAyVISxGf0oAtxw4HpSuBZSPApDH45oAQnsKBicUCHKtAEg60mNFqE dKQHp+3y7Hwcg7Shzz2yv+Na9EYX1Zy/j2FY/Fl2QMbwjf8AjoqJ7mlP4Tk5FGeak0ICO1UQNxQA AUAKUyOtAELxg0AV2ipgQlSO1MBVYg8UAXbLUruwnWW1uJIZB0aNtpoA6RPEmm6snl+INMSaX/n7 tQI5vx7N+NO/cnla2Gz+DFvImm8P6hDqSjkwj5JkHup60W7C5rbnL3NjPaTvDPG8MqHDJIpBH4VJ aIfnTo1AD1uXTGT+VA7lqO8P94flUtDuWkulYUrDuSBwRwaAMoR+lUTY1dK8O6nrEipZWkkmTgvt wg+rdBTSb2E2ludUng/R9CQS+JNVQSZ4tLY7mP1PX/PWny9yOdvYhufHFtpatb+G9OhsU6ee6h5G /PP65p3tsHI3ucbqWs3d/OZru4knkPd2z/8AqpblJWMt52fv+FAyPk0APCFiMD60ATxxY6UgLccW MHFFwsThRSKQ/bigQjdOOtADQOKAALQBIAc0APVecVLGi5EvIHvQB6ZrsZtG8JQ8ZidB17jZWr6G EephfEiDy/EayH/lpArfqR/Spqbl0tjiJRnOKhGjIDweaYhh6/SmIB0zSAOooACOKYyJlz0oAheP 0FMRAyY7UANII60wFVyD096ALVteS20yywyPHIpyGU4I/GkB1lt4yF6iW3iKxi1K3Ax5hG2VPcMM Zp37kcvYkl8JaZra+d4Z1FGfPNldna478Hv/AJ5p2T2Dma3OV1TSLzSLgwX9q8EgJA3dD9D0P4Ur Fpp7GeUPUUgEEro3fn2oAlF0wFAHpX2fwV4ZXc7trN3nGwEFAf5Y/Oq0RF5yMnVfiBqt1F5Fn5en 2wyBHbDacfX/AAxS5hqCW5x0920jszuWdjlmY5JNIopvKxJwaYEfLNlj+VAC7eoAoAlSH17etK4F mOEg80AWFiBxkcCkNEyrgjA4NIY/bgelAhCaAG7cDNMBCCPpQA7BI4oAcF6Uhk8a46dB3pDLtohe 4jXb1YD9aBPY9J8c4GqaQvmLGIwzjdnkhl4GB1raS2OePUofE6IfatPmORuidenoQf61NQul1POm AzjPFZmrIGWmIiK8c8UwGjge1IQ4rjkAhaYB+H50gGn3P50xjCBn7px60ARsn50CIXjINMCFlIoA QZGePoc0wHq5AAORxQBYiuWSQOjFWU5BBwRSA6rT/HF4IPsmqwRanaZ5W6G5gPZv8afMyXBdC8ug +F/EYDaRfHTb1zxa3H3SfQH/AOufpT0YryW5zer+F9X0UFr2zcRZwJk+ZD+I6fjSasUpJ7GGUUng ikMfNdiMEhice1FgK0k5bHzH1607ARZJPNADgOT1oAckZbgqRSAspF04oAsJEPypAThcHB/CgZKq 4ApDF54oEISB+NADAMmgBxpgIBnPc0APAxkk80gHqoC0hk8Y4/GkM1NHj8zVbROeZlH6imtyXsdp 8Rmxqmm47IT+orWe6MaezJ/iZGWsNNlA6M4/MA/0oqLQdLdnmLjk4POe1ZGzIHXuOaYiBiQ5z0oA Ttx/OgQqOVDAHAPGDQAnRuOaAHHGOaYCbT9aBjCuRQBE6UCIXj9qAIWQYzTAZjBoAM45zQA9ZccE 5/CgCZJiO/I7igDp9H8c6vpiCB5Vu7QcNDP83HoD1FO7JcEzXe++H+on7TeaVPbzt9+OHcFz7bSB +lVdCtJHl25m4P6VJYBcDvQBIqZ7fpQBNHFjFIC2kQ647UgJ0jwOlAyULjFIB2Pmx6c0AOIzigAI x0HbP4UAM2g5z+tAC7eCc8UAIAckkY4oAeBzQAuc8DP4UmNEirnjtSGWEX5c4OaBG54Yi83xFYqB /wAtlP5HNVHcmb906X4jH/idWI9Ic/8Aj1XU3M6exreP4vN8KW8o6pIh/MEf1qp/CKn8R5O4GfpW JsyNk+Xt7UgK8mapAR4A7HNAgJ4zjr69qAGjkdcmgB2cGgBwPNADSOc0wG7eT7dqBkbLyeaAImj6 4/KgRCycmmBEeOv5UAN56+nrQAZ4zQAqzMGzgj+tAEwmOOpoApZbaAAMZ9BmgB6IcZ9aAJo4uOAT 70AXIY/Y0gLQj+Uf40hjwB0/GgBQMnAz+VAwKDdgDDHv0oEBGDmgCMck0AOXp06+1AhGU54z9KAF UY9fxoGPGfbkdqAHKuM4P40mNEgB9OtAE6j35NAjqvAke/xPbE8hA7dP9k/41UNyJ7Gr8Qo5Jtdt UiRpGFtkhRkj5j6Vc07kwaSOi8SRC68Cy45xDHIPwKmql8JEX7x4/KATx1rnOghC56dvWmBXkGM0 0BESPwoAOCDjmgQjNk5YfkKAEDAjAz+IoAUH/OaAFHOAeKABlGM/ypgNOCKBjCo9aAImj4xxkdqB EDpQBCV4waYEZHfpQAZ9BQAgz/eoAkRAPSgCdIs9fX1pAWkhOOKQFlRg4xj+tAx+3AGaB2AAL7H1 oEO7c5z9aAGsD2yMdc0ANJz0Pbt3oAADj29hQAHJOTTEIN3PP5Uhjj15PFAhM4I689qBkyj8PT3p ATRrkY7/AKUh3JwCMfzoEdn8Oow2tyOMfLCxP4kCtKe5nV2JvH080HiOBoJpIn+yqCUbGRuaqm2m KCTR188fm+C3QDObD/2Sq3RntI8WlHJwKwOki2BRn86AIZBluRQBXcZPHf1pgIc4x3FADGx0J5Pb NAgAAzjAFACHjrQAo4PFADiTsz396YIawABJoGNwCMjBFADcc9+TQIiZM/WgCJ0yM55oAgZT/kUA R7P7uARTAMMTn+QoAuxx54pAW4o9vJxnrSAnAwOnNAxOQ5+X2oAlA79qAuRndu4ZcfQ0AOyVxkjr zigBp+ZiT+lABghuoP4UCDt/9egAyc8CgAxg9cUDHDr6g9KAFAyBn060ASAds5NSBPCvzZPHGKAJ hxn29qAO7+Htmk91cTSh90IUqVcryc9QMZ6dDWtMyq9Ct8QTnxHFkjAt1H/jzUT3HT2O50dlu/C9 oBghrZUP1C4NaLYye54pIgB2uBuU4I9xXO9zoWxDgkncD7DNIZG6g4/yaAKxB54/OqAjwA3J+vFA CMOcZI4zkDrQIaf8igBOvWgBACHB4PsDQAufXkUwQ8Egc45OKBjW+g6cigRGSeeD09KBiN7dR60A RlSW4/E0ARMAck/yoAhZQFJ7k0xERyD1ApAbYTB4HXpSGSAYyQBjvQFhwH5e1ACgbjgj86AHZx0A 9qAGlQCDkfT1oAjYFv4j9RQAqgdPT070AO7daBDSByKAFHfNAD8ZFADVwQaTGPH+0O350gJYwCcn I46DigCwvPBPbNAEo+Qgn17dKAPRvhwg+x3r46uoz+B/xransY1NzF8fPnxMBj7sCD9Sf60p7lU9 jtfB7mTwtZk9QGH/AI8a0jsZy3PK9chEOuX0anAE74B/3jWEtzaOxmN7Z6c0rFEMmcHsaQFYhiD+ h9KaAiK4BHcUwFIAwBjPv0oEM2nn36UAI3y4HY8+tACHIGQTgH0pjELnbxxSEOyQ3f8AlQAozkng Z457UAJt4yQCO2TTAYQcZNAyFWyGUjIX60ABAf6ehHNAETJnp92gCIqc9DQI2ACRkY4FIpjsE9+B +FAhVXB4P4UAOC9cmgBWwvPT1oAi3Ddx0/SgBSoGRwfXAoEAAGCBx70AIOc5HHsaAFwB1HWgByqQ cdvTvQAFdq9Tj0x0oAXGFwMA+9JjHpljt65PegCRAcgsvNIC0mQM9KAJFUhhg/kKBHqPgCHy9Bdz 1eZj09ABW8NjGpucp47cf8JNNl8BIkz7cVE9y6ex2ngg58MW/pufH/fRrSGxnPc878VwtF4o1Fc8 ebuH4gH+tZS3NYbGFgKMkc5x0qSyJwHHLHOOhoArybQOQRQgISCMgckdqYCYJ4ANADG6deAKBBj5 uvT1FADSSAcZA60DE4IHNAhc5yMYx2FACA5AHX2zQAoBxtOOPXtQAhHDY3H2zTGIwPAAxQAwjORw KAGH/Zz70ARHGeW5+tAjVH94HlegApDHxplsDHPtg0BYfjBwOp79aAE4XPBx60rgMJDZyeR3+tMB mCDx1oELwATigA6ZycDvjnNACKcru680AOXA5BHH44oAcRgBs5z2xjNABnjPI9M9qVhi4UDBySfW mBKgwBnP50gLMWCD34z16UCJFUAE8/WkMlj4fGOnGM0wPWfBabfDMBxjc7n/AMeI/pW8NjnnucL4 1P8AxVV39E/9BFZz3NIbHbeB23eG4uvEjDn61pDYznuch49g8rxK77RiaBHyfUZH9BUVNzSnscg5 JXk/XrWZoMyrE7eRj0oAryLkEjk0AV8h1IP3uoYigCPAAJC8epPSmAbQ3ynOB+tADcDI46e1Agxn GPu989qAEGCGPTB7+lACEdDk8+lADcjqQSPTNMByrtIUY+poGJnBAyQex9qABlzgcYxQA3aCM5/P vQAjjocg4NK4xjKGOSAPYf8A16YjVwOw6c8mpGIXwcYJB75piHEkKOcgdKQIYxB4/T/P40AIMc9e evFMBGBZcYAXHUUANCDqvpxmgBArEkggDGM4oAcoH3e3egQ/bn/63NAwA+XPXHHWkAuAoPy55/Km AoUkgt0HekBMoDHrSAmjQ4xgH0piJgflFAEqYZfr7YoQHsHhaEQeHLJQMZTf+ZJ/rXRHY55bnnXj E7/Fd6ST1Uf+Oisp7msNjsvADltAcHqs7fyFaQ2InuYvxJiA1Cxlx9+Jl/I5/rUVEVTZwcuQc5Ax WZqV2BByBwCKBET7i3I2qOCBQMhYOQAxHTqKYEIBHGQM0AG75wcDI70AIV2szA4IJzigQBgQWzn6 HjtQA0YBPXHUcUDGq7dW4Ht0NAgX5vdeuaYxc8EADPegAZsDC4J/KgQqnockDqOKBhyx9M0AM+UN wTikAbd5yvA/z70AaGMn1z3oAd1zsHbJHtQAwMOhJ+gFIBoGPm5IzwB3pgOwgXvn0oAaclCCePSg AAxj26E9qAE4PAA/CgQ8KAOTk/SgB2Pkxu4xQALjgryvtSGIAc4H1IoESISo5AGe+BQMlTDNnGM+ gpATrnAOeAKYiYZHB6UgJEG45UjOegpge1aXH5WlWiYxthUY/CulbHM9zyzxUx/4Si/xx84wSP8A ZFYy3N4fCdb8PJGOmXSHoJQwP1H/ANarp7GdTci+JUO/TrG4z9yUr+ak/wBKKmw6e55oxBGcYI6c VibELDuB70gI2BGffNAEGG29exzg9qYiLhgRtPr7fnTAacNhBxk4wKAAABcE9D39aAGEAtkkbuuQ Ov4UADHg8nPcDrQAhG7AyOO9ABnPXGf90UDEAK4b0xQA1R1OT6/SmFx/ynlm+UDOcZoEwHAA4z2x 3pAI3UbsnPOKYxyDI69/72KQF9QFXJwCD26UANYncuG4zzQAmdpzk5pAIyhtuecdMGmAioFO4nt3 NABj5sDBFAhTljyenpQMFBxk/hQA/PHUfWgQLxxjjqOaAFGM/L3/AEpDHBQHPXGaAFbggFunWkBM gyTkEjoAaAJFHIxximDJkB2gEDJHY+1AiaBfMZVHJzj0/wA9aFuD2PcYU8uFE/uqB+ldJzM8e8Su 3/CTX4G7HnkZHbisWtTaOiOs+HcoMF8ncMh/Q1cCKm5e+IMRk8NhgPuTo306j+tOewQ3PKXDZYn1 9awNiEDtt4+poGNI3k5JAFAiCRWQbVHtwc0xkblnYDGPfGKAISFDE+vBB7/jQAjYPG7BA7CgBDtC kfqKBDW454HtQAoXLc+vrigADnIHAxQMRtw+7j+XNADHBIBDD0wP60CEywxyNw6YzQMcCzEsce/O aYDh3HPNIAxF/Ecn60AXXO7legPOTSAQYBA8vkg9aBgoBJz1HGaYgQGL+Db6DHagBwX5cgdep9KA GsCvfHcGgA5xlumOoFAh4LHgn5jjpxQAi4G87uuMY/KkA7sV2nkc/WgY5VDKTnB+n+RQwEJEa78k j/ZBNAEi7WkU/McDoKAJkzjIIXPY0ASICpHTJ9KBDgzbenHY9qANDSIvtOqWcTEEySqCB0OWprcH se2Y4wK6TmPH9RvY7LxXqlxLaRTuZSmJVyuAc9PWs+dx0NPZ3szp/Bdyt9e30i26W/EfywoFQYz2 9aqMuYmUeU3fF8Zl8K3wGflUN1x0IJ/SlLYI7njj4LZ2HPTJ71gdAx0CoFzyB0x1NICJmAHzAjnq eOfSmIjcYJz1HP1oGQsR5QzjHqKEBFIozkHnBBGKYEa5XpgnGOaABssoySCey+negBCCMkA5Ix0o EM2SbvmAAI4I659KAHBjyRznn2+tAxg+XLFR0PUUANI3OuH6c/Lx0+lAAEYEFjz6hefrQFgySABx juO4oAeQBzjI4GcUARsD3jzRcD//2QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA==