20260501 23155300 1.0 FALSE GIS_AG.AGS.DOPRAVA_PROFILY_L 002 Server=sql19gis; Service=sde:sqlserver:sql19gis; Database=GIS_AG; User=ags; Version=sde.DEFAULT ArcSDE Connection CopyFeatures dom_profusk_lin \\agserver\FILESHARE\GIS\_APRX\GIS_Doprava\Uzavirky\GIS_AG_ags.sde\GIS_AG.AGS.DOPRAVA_PROFILY_L # # # # DefineProjection "Dopravní profily" PROJCS["S-JTSK_Krovak_East_North",GEOGCS["GCS_S_JTSK",DATUM["D_S_JTSK",SPHEROID["Bessel_1841",6377397.155,299.1528128]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Krovak"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Pseudo_Standard_Parallel_1",78.5],PARAMETER["Scale_Factor",0.9999],PARAMETER["Azimuth",30.28813975277778],PARAMETER["Longitude_Of_Center",24.83333333333333],PARAMETER["Latitude_Of_Center",49.5],PARAMETER["X_Scale",-1.0],PARAMETER["Y_Scale",1.0],PARAMETER["XY_Plane_Rotation",90.0],UNIT["Meter",1.0]] AddRelate "Dopravní profily" c_prof "Profily měření" c_prof Relate1 ONE_TO_ONE 20260501 23160500 20260501 23160500 Microsoft Windows 10 Version 10.0 (Build 26100) ; Esri ArcGIS 13.4.4.55405 GIS_AG_AGS_DOPRAVA_Detektory GIS_AG_AGS_DOPRAVA_Detektory MapServer Třída prvků Enterprise geodatabáze dataset 0 Simple FALSE 0 TRUE FALSE GIS_AG.AGS.DOPRAVA_PROFILY_L Feature Class 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. ID ID Double 8 38 8 c_prof c_prof SmallInteger 2 5 0 capacity capacity SmallInteger 2 5 0 rc rc String 14 0 0 Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. Shape.STLength() Shape.STLength() Double 0 0 0 20260501 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAFHpJREFUeJzt3WuMXOV5B/D/nHNm5sxlZ2bvu2N78RpsYzDYxjYQU4IckjQt iqK0/ZCqRf1QtUo/9KpWSvqpraryoVLVD1WrNqQSatOmVCip0qI2TUMDDRjMNZgAgcXB69tevTu7 cz8zp3qeM7MYCPjCeua8M/9ftPLs2tEOe87+z3t53vd1fN/3QURkAKfbb4CI6HIxsIjIGAwsIjIG A4uIjMHAIiJjMLCIyBgMLCIyBgOLiIzBwCIiYzCwiMgYDCwiMgYDi4iMwcAiImMwsIjIGAwsIjIG A4uIjMHAIiJjMLCIyBgMLCIyBgOLiIzBwCIiYzCwiMgYDCwiMgYDi4iMwcAiImMwsIjIGAwsIjIG A4uIjMHAIiJjMLCIyBgMLCIyBgOLiIzBwCIiYzCwiMgYDCwiMgYDi4iMwcAiImMwsIjIGAwsIjIG A4uIjMHAIiJjMLCIyBgMLCIyBgOLiIzBwCIiYzCwiMgYDCwiMgYDi4iMwcAiImMwsIjIGAwsIjIG A4uIjMHAIiJjMLCIyBgMLKIe5TVrgA84dgy9goFF1INqXgmzSy8h7Y5gPLsTvYKBRdRjfL+J8yuv Y3bxJRyY/hx6CQOLqMdU60W8eua72DV5NzKJcfQSBhZRjzm5cFz/3DayH5GIhV7CwCLqIYXSHJ6d eRifO/wncKzeGWxvY2AR9Yim38ATr34Vd+z8RWQSY+hFDCyiHuD7Pt6aO4aG72HX5D3oVQwsoh6w vH4Kr599HEd23Y9exsAiMpzXqOKV0/+NqZH9GBqYQi9jYBEZzIeP08sn4DVqOitoRWz0MgYWkcHW K4uYXXpRW1e9OtB+MQYWkcEV7WeWTiACC9eN3tbzrSvBwCIysBvoNao4s/QyTi2+gFumfgZR20U/ YGARGaTRrGFp7RROzj+LC8VT2LPlkxjP7kK/YGARGaJcK2Bm7iksrM4g5Q7j43t+Dcn4IPoJA4vI AOuVJbxx/v9QqlzA7i1HkR/cg37EwCIKNR8rxXN4+dR/IhHPYt/2zyLtDqFfMbCIQmyldB7ff/0h ZJOTuGnLvUjGswAi6FcMLKKQqtTX8b1X/hbbxw5i77bPwLai6HcMLKIQWivP43s/fBB7tn4CuyY/ 3u23ExoMLKIQHh7xxKt/j+nxwwyr92BgEYWsKPTt+ed0m5gb80e7/XZCh4FFFCKrxXN48/yTODj9 edgWfz3fiz8RohCZmTuGoYGtGM1e3+23EkoMLKIQWassYPvoQUTteLffSigxsIhCou6VEfGBqBXv 61qrD8PAIgqJUm0FjuMiFk13+62EFgOLKESForJNTMxJdPuthBYDiygkIoig6Xu6MR/9ZAwsopBw 7NjG+YL0kzGwiELCtmK6zTFbWB+MgUUUEp7XxPLyMrYOVrv9VkKLgUUUAoVCAf/8jUfwzacexs6h F/Gnv/8AhoeGu/22QoeBRRQCs2dn8eSppxC7PY3nfvgifvDaD3D0yNG+XEvpNxvw0UTTb6LRrOuZ i82mp4vCGVhEIeC6LnJuDouL88g0BjA23JtnDPqtEHonjKqoekX9U4Kp3qigVi+i4TfQaMrflVCt F+H7Pqr1NQYWURhsndyK+4/ej2889RXsPnIbdkztgKmB5DWDFlG9UdXqfSmIldCRMKp7FVS9dW1J yWyotKYaTU83J4xErI2zFePRJBwrDjeRhZsdQDKW1fo0trCIQiAej+POg3di3X4eO/MfQyLR+eJR z/Mwc3IGc4tzuPGGGzE6MopIJPK+QJIgklDyGmVU62U9fbpUvYCaV9IPaRXB93V1UQQ2rIiFeDSF qASOFUMyloMbTcOx4xpU8vW4k9LPpbRDQqsdYO/FwCIKCQmHHfmDyKXHu/L9T587jT/8my+jMdLA vuf345fu+zlkci4KpTmslue1SyYtJQklIUHk2K4u1E67I0jGc7r3vISOGx3Qqv2Iho+jX5MQkjAK WlLO+8LwcjCwiEJkeuywHj1/7fioSbesvq7BU66vYbV4Fsvrszh2/ATmM/PI5DN45kePY+yFZUxf l9fwyaW3YHJwDxKxLOJOUr+mS4giUp9vafhIEMlnWrN/FWF0ORhYRCHSHsP5qJpNDyulc1gtndMz DVeKZ1GpFbBeXdYB7HZxqgRQKj6IXDqP22+awKPffxFVq4oDw4fw+Tt+F/l8HmHCwCLqQV6zhnMX XsNCYUbHjEYGtiObHNcunHwelV0hnOS7xonq+Tr+8je34tTpU9i7Zy8mJiYQNgwsoh4Uc5K4edun AMjH5YlGo9i3d59+hBUDi+gakTqj4MOD16jowRIyrV+qrmjdkZzknB+8iT//DyFdVxlrk613ZNyN gUV0lb9EwdR+LZjKrxd1rKjmFfWXS2qOGo2aBpZ0u+RzN5aBHQl+5WTcKNidwefuogh2qKh5ZS0a LVaXsVI8h3JtFeV6QcNdfn6JaJaBRdSmyz8aVVS08lpm0oqoNaTOaAnFygWsVeZ0wFr+nfydZTk6 ZS8BlowN6biQG0sjk5Cxoph+LnVHMqMmU/oXF0fadrQVXv23FXJRW5jljcmA+cIMqrV11JtVLZWQ ItGUO4yBxBiGBqaQisuYmxSSxhhY1F/dCgkkmcqXCuzl9VNaYySFjoXyvBY7SqBIWMngtGNFkXaH 4cayyKYmMDywTX+Z4tG0hpW8lmps1ZrGb0/rt3Oo/dV+VPfKWK8uolJbx0LhLQ0mOcasWFtBolUW MZG7EVMj+zWcpHh0wB1plUq0f4AXveYYFoWVTr2jqSGi//Ob+iFdB1mH1v47Gdco19b080ptTZd9 SDCtlRf177xmVbsaQRhFYFlR/cWIOnEkojnkh25udc/iQbGjtIrsuP4ber93roEsqakHS3EaNW0t yc9+VYpMS+ewvDYb5LTva1dYZiinRw8jt30SUTuBlDukLc4rxTEs6vzi19Y2wM1m+8av6WC0BJOM VUiXS34ZdJxIxoH8oKsmBY+V2qr+nXQfgn/X2KikltaRTNnrk3twN7KudM3iiEUTujmeVGQH1dfX sjCzF/h6bXSyoFnT4NefuS7FKekyHGmVSndOHhRy7WzLRjI+CDeawbbhfdiz5RN6LWRJjlyDzcLA ok3RfuLKjS43eaNR1ZZQpb6mwSM3f3vWTAZWtY3U9DZueAkkeeLKyn2pnA7GeyI6Pa/jQbaLTGIU o5ntSMQy+pQO1p05uhZNQmuzii77ideaGKg1Sq0B7xWdOAgWKwcPBWk9SehIazUmrVNb1gMOalcu l5pEPDqg1e+bGUwfhIFFlyRdKgkUOSBBXgcr8FeDxa6N4POgtSMtJ1+/1l7wKmEkwSIDpjIeYUVk PZnVWuwarC+Tj/Zi2PaHDEhblq3/P7aINueBUqmtaWtWyipWy3M6CyevhVxfCSPbdvSBIeEvDwYZ rxvL3qBdOHl4SDDZ0prt0rgcA6uPb2AJGumCeQ3pfhW1mV+sLOvrYvWCPnmF3OgSNjIILS0o6XLJ LFciltOwCcLH1fEfaQlJ2MiN71iuhk5Mvib7lVuy8DVYvX+1i1/p0iSEpBsn11DGk2SJjudVUK4V EI0mWmsBMzp256YHdHmOXDd5wEhAyUNCWqxyzcJ2jRhYPcfXQehgzCfY7kOa9oVyMBgqraBiZUm/ 1h7Ibj8xZbW9PEVT8SEMprbozSstH+HGZPV9sOWJPH0lfCR0JHyCm/q9C2CpW7790l/oLKYEUjY5 gdGBaaTcQdiW7Kow1CrHiOoDKFi4LA8SM64ZA8sIUlwIHVeQzdAkZOTpKU9Sadavls7rrNh6ZWGj TkhuSgkWeWpmkuMaLsMDU8il8voEjcnTVMaBpHYoOtDt/8A+4W+M68m1zCTGrmqm7FI+fevvIB4L ar96DQPrGrp4Or79Oph9qQc7LjY97Zp5MgPT6pJJdXSwLWwJa+U5naKXG1ymh6V1JC0YacLrXkSO q3Uro5lp7Bi/Q5v6MUfGglozYk6CA9GbOp3fxNmzZ/Hwf/0rUokU7jl8N6am8vBl50zZsA5+0B3z gj2jpLstDxbpUsvna5VFvf4yoybPoMM7v4DJ3G5stqQ7hF7FwLoKcnPK4KXcwO3ZseBDpueDwen2 1yVw2tP0MntWq5d0LEFU6gUNIRkTCmbGnNYqehlLSGIit1sLF6U1FG3vzmgneJT5JpIHR6NRf1dt UVNLKsp6bZp+MPMpn1e8dfzdVx7Gs9GXEalH8NqZp/HZTx0B7Ip2g6VVK7NuwaZ2Me1eS1d6wB3F QGJ0Y9B6Y6fNVhebLl/PB1a5XNb+uWzyfzmCdUvtGp+g3kcGMNtT714rmOSJGWykL9PCng40yxNV fgH0MEz9MxjPkcCxI7IVrItENIPx3E4dH5KBTvkIbmDZmTHYHpY2h7ZeZU2f7C/uVfRa6qEHreup NV9aBV9897W0HP374Fq0C1ehIVSoFGCnbC2KTKdGMD16O3LZ4da1jOu9Jq8lvK6FmlfS99WJEoIw 6unAenPmTTzy3UeQTCTx8f13YefO6Vb3q6w1JdJ81ydnraBVuhIY7RbRO1u5BuEjT0MJlYh8IKI3 jM6ISdGijgmlNaDaW8O215kFW8QGU/m0OYJ9xSVwqhsFpvJaJhOk9SrBI8GkQdWo6NIY+ZoEiryW CQOZ2ZRA0zIKS7rPwbWUeyB4mATV7jIh0a7xkuv4xS9cj2898y19Dz97+D5M52/t6ID1W/PP6NhX v+7yYHxgyeBl0Coq69iPNMlL1WVdIvCP//BtvDbwNvwF4OTS8zi6fjPcZFSLFWVaN2rFdIsPuUmD tUwyI+ZvdMmC2TC5WZ2NcGpPy7fDjDVCm0uCp6a7HdS0mFHXo1WWUCjNS+dNHzLtGU6dlUSk1Y0O rp3MdErgyExnu8YraOEG1fBB6ySm3bagvMK+omt5277bsH1qO5rNJgZzgx2fXVsvL+jPhIEVMtKU l5tTnpIy6CyvS7ULeuPKlhOyPCBo8tf1xtNpWlsWq45qyKTjwzi3tAhMAlWvggF3Eodu+HlkB4Kb 7OLgCabi29PzUnLEqflroeZJbdBqqztWxlp5QQeipVVUKJ3XMT1p7cgYYHvqXVqsEkCyA4JM0QcP j2BCIRZN6msLQdjoWsFW8ATXMgi09uvNYFkWRoZH0C0pdwhLa2+jX4WmhXXsja/p2iRZNS83XbCw 0tdq23bNSDaV120nJgdvQiKe0RaRtJIcJ67T93IzX+xLvzqFBx58APlsHvfe9RlMjkx37b+v351e OoHjM/+i3TfpaknYSGtI9jgay+zAjrHbteZLCxd1ljNYekPvNuCO4czSib79sVxRYMlYzrUqCpQZ sS1Dt+hNG6wfk5CKa/fsapvdB/YfwEN//hDq9Toymcymv2e6fBO5Xfjpfb+nXTE9bYWuihvLaOV6 v/rAwNJBy9aWrnocUG1VBzBHM9drBe1m2z56CNeCHEjZjUMp6d2CcSO2mD6qTGJUl0/1K0fGC4KN zYJFkcXqUlBRXV0JtnaVaVQr2trqNaJjCdKU5/ILos6LOUkdw+1XzrEf/ZMOasfsZFDMtrE4Mq37 28igZkLHGjI6VqS1JlwrRtQ1MTupDYheXHpzKc6Wob36Hy6tpncGO+PBlK9M4zOciEIlGc/p5JQs UO83jmzCdS2PliaizZVL5XUv+r4MLBY+Epmj0WggGsmgVC5o2U+/NTRCU4dFRB/O9308/tTj+Pr/ PobxzAn8xi/cgC35rX31Y2NgERliZWUFDz76IOYnFvBm4TzG/v0R/Nav/zb6CQOLyBCe58F2bDTr Tf3ccfpwlvDS/8TX4lEpfdCN6eM5boFC1AVDQ0O4/977cfzkcbwx+xju++R9/RpYvm4sJyehSMHo enVp40BECSspLpXyhhsmjmDH+J2wbO7ZRNRptm3j6F1HcXj/YXz1sWOY2jbVdxfB+bfjf6Sl/nIK im7F4aT0lNa0O6KHIUplraz90t0SdYExw4qoa7+wjoNcNodcZlj3cOu3/fidj+365dYRP+mNY5qI KNyuGz2AUwsvYlf+bvQTRw5JJCKz7Bi/Eyfnnu6/wOr2GyCiKzeZuxHPzTyiO6j0U6+o44ElW9vK jKMcVUVEVyfmuBjLXo+35p7WybB+WQjd8cCSJ8ILJ7+JI7t/pdPfmqhnWFYUe7d9Gq/MfkfXAu+a /Km+OF+g44Ele7SfvfBqp78tUU+JIIKh9BSmRg/gzNLLeiCrnPDd6zoeWMG5bQk9VFSOxyKiq/1d sjA1vA/53J6+2c2184GFiB6XVa2twXGHO/3tiXqKZTmIXaNDW8OoCy0sOWw0jXJ9TU/AISIKdQtL DraUJT9ERFei823JiKV1I9X6Wse/NRGZrSuD7rImseoVO/2tichwXegSWnryb41dQiIyoYVlWzGU Kwud/tZEZLguDbonUSr072GQRGRQWYMcytpo1Dr9rYnIcF2qOPNRb7KsgYiMCCwZeu/9hZpE1AOB Jdssy2pz2SveivTPsgIi+micbhxV9OSTz+N/nnkCyfJ+HDpwu+5TTUR0KR1PirPnz+KPv/ZnGD40 jL/6j7/Gl9IZ7N2zt9Nvg4gM1PHA+vHsj5HalkI0EUWj7KHmcbaQiEIaWLfedCsOfecg5hZncWjr AWyb2Nbpt0BEhup4YGUzWXz5i3+AZ159FLum9mNkZKTTb4GIDNWVpTnDg6M4fMs9uh+WfE5EdDm6 Mj3nOC7Gcztl79FufHsiMlRXAkvWE0ZYf0VEV4gFUERkDAYWERmDgUVExmBgEZExGFhEZAwGFhEZ g4FFRMZgYBGRMRhYRGQMBhYRGYOBRUTGYGARkTEYWERkDAYWERmDgUVExmBgEZExGFhEZAwGFhEZ g4FFRMZgYBGRMRhYRGQMBhYRGYOBRUTGYGARkTEYWERkDAYWERmDgUVExmBgEZExGFhEZAwGFhEZ g4FFRMZgYBGRMRhYRGQMBhYRGYOBRUTGYGARkTEYWERkDAYWERmDgUVExmBgEZExGFhEZAwGFhEZ g4FFRMZgYBERTPH/2psb3pYQ/soAAAAASUVORK5CYII=