20230915 14161300 1.0 TRUE CreateFeatureclass G:\Documents\MORI\Treinamento_Japao\SHP Cidades Polilinha # No No # # 0 0 0 # Project Trechos G:\Documents\MORI\Treinamento_Japao\SHP\Trechos PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] # PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL #MORI #Treinamento #predição desmatamento Trechos aéreos para o treinamento em IA em 2023 do projeto MORI Trechos /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD02iti fS0dmMWVPv0rLmheB9kgwetAEdPSV42DIxBHpTKKAHySPK5d2JY96ZRRQAUUUUAFFFFABRRRQAVZ ksZo4RIRwRk+1Tpp+IvOZgyYzgcH9amtJHvI/KlQtHg/PmgDJqxZ3H2acMc7e+KLu0e2kI5K9mxU SRPIcKuaANSXVCRuhjJUdWNWbQuwDhlMZGfcmqkFnO1k8ZIUMcgY60Na3UQVElVVc9B0FADNTuA8 hiCLlf4u9VreS4jQtEWCd8VcbSHYZMwLnrkVJHavaR5ba6DqMnNADZIvMRd0kwDEA7jxVs2cLKoZ S23oSaFt9xJcYU/wA8fjRKRbbXBbbnBXrQBPhcAcYHSjNA2kZGDmloAQEGloxmmnA55oAdRRRQAU VFLN5bIoUkseKX98eyL75JoAkoqIxyYyJTu+nFHmSA4MJPupGKAJMDtxRkjrTElydrrsbsPWnnr7 UALSY7ilpG7e9ACg5FFJwKXI9aAMgahPdSLFEAmTyRUd7Zzh2kOXUDrmqe/Y2YmZeOtOFzMD/rGP sTmgCKiiigAooooAKKKKACiiigAooooAkaaV1Cs7EDtmrFrczRKFiUke/SqdPjmkiYFGI56UAa5t 7i7wtwVVAc/L3pRaG3VVRS67snnqPpVyJi0SswwSMmiYMYW2tg464oAEkRlyvAHGKrySbpCjvsxy uB1qKOFJSgEyqepVCc/zqNpzb3RhTIB/iagC0tyd2OHA6kcYpJZkuAYACC3c9qgDOqBvKWTLgF2A zknFTrt8wLcBd/ReMLj2oAkKQrgFsH2OKd5EbYLZcdtxzUcyw+WQPLD4yuSOtZx1KSL5UC9ec9Pw oA1fKKsWjIGeoI4oEjh1R1HPcGs+bU28pDGybj1GDxVuy+ePzGkEkh6kHpQBZJwKhzI7FUICg4Ld 6nrK1G9+zzBYlxIOS3agDQ8kdncH13UBJcYMv4gVR0+W8uGEruPKycjFaDSEPtVCxxmgBiwnzhIz 5IGOnWpqjWUE7WG1vQ9/pTwwJwCCaAFooqKUSmRBGQqfxHHNAD3QOuD+fpTPLkAx5x/ECpScDNQB mnZcK6JgnPHJoAaZ2iYh0zgcleafmSUcYVfXqaekYTPJJPUmopGW3kD4whBBAIHPGOv40A3bcfiV eMBx69KYtuHBaQLuJ9aRb+FjgeZn02Gnfa4/7sn/AHwarll2I9pHuc5RRRUlhRRRQAUUUUAFFFFA BRRRQAUUUUAatiGFqp2IctgZHWtA20LdYlP4Vk2l8sSxI4OFY81dk1SGNiNrk/TFACXVwloQqs+7 soPArJ+0TAsfMbnrzVhorm/lMuzA6DPAp39k3Hqn50AV1DxwrOvB34BzVo3UV4gSf5HHRxUbafMk UhZxhBnAqvG0IUiRGLdiDQBMVe1mEZkBjYjPP61dLFESSQ741JwW7+9ZLu0jZY5OMVYW6xZGFsse wPQCgC9HcC7V0iTYMckDJquukzFvvAL6mq9nc/Zp95GVxggVqDVbckfeGevHSgCB9H+T5JPm9xUK aZdBuCAPrV9dSheQRxh2Y9MCpzJIAT5YAHq1AFaVmt0GQQcdQ3BIqteW73MAmYoGVc5B6irriWeN GaFMZ3bS2cj8qa9lDNa7Yf3YI4IoAxrO4uI38uFuvY1uItwWBbC5GCR1rLXSblJwRsIU5zmtjZKR kyAH0C8UANYMgIdfMT1PalaNSoaIAMORjv7UeaY22zYGejDoajKs7EwYQDueh/CgCK4vHU7Fwh7n rke1PR1cZcyZ6Bc9aXyJBGQRGoBLZAyfpUH2krKhEKhsdFPJFNJvYTklqyyUdxhN6+7N/Sn+YlvG qs+T+pqFZZJzgsIR3Uct/wDWqxHDHHyo5P8AEeSadktyOaUvhRHunl+6PKX1PWnJbRqdxG5v7zc1 NRRzPoNQW71GtGrADpjoRTfK/wCmj/nUlFSWcrRRRQAUUUUAFFFFABRRRQAUUUUAFFFW7WwefDNl Y/X1oAtWGnqyLNJz3C1enCEbSm5iOMCkUneYUbYEAxxyalSNU5GSx6sepoAVM7FyMHHNOoooAqSq PLeFycvyCves9tKmVNwZTxkitWRR58Jxk5I/DFTUAcsQQcEEVd/sqfy92Vz6VstFG/3kVvqKfQBz DROhIZSMcdKQRuQSFJA74ro4QDGcjqxpxUAYUBfTAoAwrKJzcKwB4OfStXzTKcvuERH8I/rUUTmW 7ZWYxyqm0gDrz1FXkQIoVelAB8skZCngjGRTYyVPlsOQOCO4oaL5tyNtbv6GqV5DdY81JMlefl44 +lAGjRWauo7rCXDAXCxttz3YDisiPV9ckhCRWqSOJExI2BuTjJIB+ooA6R8faF3YxtOM017qNMhf nI7L2rMt3u9TSWa6gktRDKVSPdjeuByf1H4VpxwLsX5js67QAB+lUrIh8zemhAwmu2AMmyP+IJ39 s1I0SW6oY484ONo6mppJAhAwST0AoRWZvMcYP8K+lJybGoJakUuYwCqAZOM5qwDxQRlSMA/Wqqo0 S/xqf7wO4H8KRRboIqsboKpLKDj+6f6GlF2hAOCMnFAExBHSl3ConlKgHGfYd6jMwz82UP8AdNAH P0UUUAFFFFABRRRQAUUUUAFFFFAFiztzczhf4RyxrbKq0qxqDtQEHHQdMVmaTlpZE3EDGeK10jCZ wSSTkk0ARzRqkDlRggZzSgyRABzvX+8BzT5VLwuo6kEU5G3orDoRmgAVgwypyKWo2jKtvjwCeo7G mC4JU/IQw67jwDQA6b5cSBgGHHPf2pBcoEBkyh9GFRrKm7IDTSeqjgfSlkNxJGw2Igx/Ecmq5X1I 9pHpqTLKrHGcH0PBp+QOpqoLVpol86d24zxgf/XpPsYiBPMqjtIxJosu4c0nsiSKeJIvmkUcnqfc 0G8t+0gP05plvZwCJWMEYY88D1qXyIgfuCj3QtPujN1CXaUuYUk3rwflNWrW+kuotyW5BHBywq15 UZQrtHIxWPZzm0umRxhScH2ouuwcsurNXNyf4Y1+po8u4brKo+i1ODkZFNZ1QZY4o5vIOTu2c4+h TJfyySXW+F+UDcAVdjsXUGS1k5Xjg/erT88FgqqxJ6cYqKWYWsLyOQHbkCpWhb1dzLkvbpcxyHkd QRQNSuQR8wwO2KrSyNLI0jnLMc0ygDciuftg+TapBzyeavVzUFxJbsWjbGetbOmzNNAxc5bdQBco opCQoJJwBQAyWJXjYbRkj0qrzDDEVOQWAPGcev8AKql9qPmfu4SQAeWB61REjgg7icdifzoA6GP9 43m4wuPl/wAagZokYidTvJz17VNazpPAHUYxwR6UfPL8yxIR0BbrQBzlFKRgkUlABRRRQAUUUUAF FFFABRRRQBo6XHlnk8wLjitLzZEcIU3E8gjjIrn42VXBdQy+hArZXy0ijY3P3eh7Y9KALW6XH+r/ AFqMypbW6ea4XCgcdz7VB9qldzGqkjqHK9R9KIUjjYSsPMuHOAW6j29qq1tzPmcvhF+1TyvsihZR 13Px+lPitlDs07bnY5wTRKzySeWE2SAcNu6U6FBIrmTDEsecdccD+VHN2HyJ/FqWAABgAAe1RyNk iNSMt19hS+RH6HHpk1XuAkTJ5YCODnIHUelSWW1G1QB0AxTJWPCKMls08HIB7VA8irOrDkAYY9hQ BMi7UVfQAU6oxPHz82PrTXnBQ+Xy/wDDxQA6VvLhZh19aytQhUgSIGGB82QRn3rRjLT8MeEOG9z/ AJxVjqMGgDP04edbZdiSp2jnoKtMYYPnd8em41nPFdRSutuNoJ5AP5GmDTLmU7pGAPqTk0ASXepA lRB1B+8azpZpJm3SMSaWaMRTMgbdtOM1HQAUUUUAFaekTBZHiP8AFyKzKfFIYpVkXqpzQB05OATW FeX8k+YwNqA8+9bBnT7P5pYBSM1zbHc5Pqc0AJRRRQBagvXt4GjQck5zV+G4DRA+YFz2NY1aFnLt gx5Zbk84oAnurFJkeWLAYE5A6VmNBKi7mjYD1xW5IqxFlUEKyjHHU5pS7NsIhbCn+lAHPUVoaha+ WqzBQNx+YDtWfQAUUUUAFFFFABRRUbyEHYgy/wDKmlcTdhXkCYHVj0UdTU9pJxsuPuMc8fw/41BH GEyScsepp9O9tieXm+I6CAnzQWYEbcIR3HWpJShkjGVzuzmudEjhdodgPTNJk5znmpLNi7uFguA2 8HjoPWp7a5glQJG3KgD0rn6cjtG25GIPqKAOkaQhtqqWbqfao3QiMlh+8c8e1ZthdyLM28sykZPe tF5w/wC7Mb5YZHFAD/KdgBJJlR1AGM08xoYymBtPUVABK5iEp65LJjt/nFS+TH6MB6Z4/KgBiMiu ImKt/cP9KsUwxRlcbFx9KiKskqpG5APUHnFADo8xyGNsEsSwPr/nipqrLEDM6uSzcMG7jqP8/WnS q6RM3mtwPQUASOity3bvUMsn2eB5CxIx8oPrT2McEQaVs4H3j1NYt7eG6k44QdBQBWJJJJ6mkooo AKKKKACiiigCQTOUWNmJQHOKkvDC0waE8Ec/Wq9FABRRRQAYJqxDeSQR7F6Zz0qOGVoZA69f51fC 2VyPMbCMeCvvQBrZHrRn2NLgCigCGaBZlO8bvRc1Rk0gbMo/zehrUooA5s2s69YX/KoiCDgjBFdT Va5sYrnlhhv7woA56ipJ4vJnePOdpxVZ3LN5cf3u59KaVxN2B5CW8uP73c+lPSMRjA6nqfWhEEa4 H4n1p1DfRCS6sKKKKRQUUUUAFFFFAGhpTxiZkcDcw4JrTLea6FVb5W644rnK17Jp54c7/lXjAOKA LyfvH83sAVH9f5VLUSSKqEEBdnBGaekiyfdNACjqRWbNLcOsogB3HkHBzjNaWOc1Us/lmuEbO8OS M/3T0oAbYJPBb5mBdmOT6j2qe5mjW1ZmbCkcGp6xtWXZIgXhSM47ZoAq3Ny9zJubgdl9KgoooAKK KKACiiigAooooAKKKKACiiigApePekooA6qio43O5kZgSpxn1qSgAqO4uIbWFpp5EijXGXc4AycU 8kKpJ6Dmsq4Sz8TaXPaiRvL3gMdo6qQeh+lK6vYfK2rmoJEIyHUjGc5qvJfQi2aWJ1k9NpzWPL4Q tJFCi6uFA9COvrVCTTrez1CJIJZ2+zBhyw25ZSOffmqSuS3YkmmeaVgpyx5ZvSlRBGuB/wDroRAi 4WnUN9EJLqwooopFBRRRQAUUUUAFFFFABWpo7/PInrzWXW5pkKx2wkx8z9TQBcMaMclQTUbny5t+ 0kFccCpqhcF5tpYgbc4B96AFFzEUDbxyOAeDUcdsmFlBIk2/eBzU5jQptIGAMVWR0jzHEc5/iPSg BLe8LSSRzFQV5BHcc/4VDqYWWAOgJKnqBxipIVaK8Odp3qqnHqMnNSagyrZuCQMjigDn6KUAk4Ay a0bTTzhpJ1wuOBQBm0UrABiAcjNJQAUUUUAFFFFABRRRQAUUUUAFFFFAHQysGAPlsGyMMQKs1CXW VdhJVj2PWgOySeW5LbvunFAE1VHiS2dZIUVAXAdVGA2TjNWxWNfaoV1EWPlsEAEhlHTg5x+lNNJq 4pRlJPl6ajv7dsrhIwlwsXmZI3/ewOuB61l3F1aLfPD5yoxQS5PTaTgHPvSyW2mFxJHYRiUZw55P NEqxTRhJYImXAGCvYZA/IE0X0sLlV7iCW2ZlRbmNnbkAHg/jS1HHbWsWzy7WFShypC9KkpFBRRRQ AUUUUAFFFFABRRRQAVuWBWW1Xa7gqMEZrDq5psxju1XPD8GgDa8o/wDPWT9P8Kr+TNKxdZypViBl QauHpUVuMQqc5Lck/WgCMK4fZNKSD0wMA1M4UREEDaB0psrBv3YG5jzj096jZJAqLJJuUnB4oAiu J47RI2ZczbNorImnkuH3O2fb0rT1fZ5KHjfu/SsegC5pgBvVyueD+Fa17J5dpIc4OMCqGjlRJIDj dgYp2rzDCRA+5oAyqKKKACiiigAooooAKKKKACiiigAooooA6WdWdAqgE57nFRHzJZ16LsOeDn/P FSzE7CAcMTtFNANshOd0Y5PqKAJXO1GOcYFcy7FnYk5JPWrl9fNM7Ro37v8AnVGgAooooAKKKKAC iiigAooooAKKKKACiiigAp0b+XIr+hzTaKAOjS7ilj3Bj09Kbb25ESh2JUDhRxiqOkSMXeM8rjd9 DWvQAwKkIJ6DuSc1BdkmESLIAq85z3qWfy/LzI20Kc5zWLd3fnYjjyIx696AKrOznLMSfekoooAV WKnKkg+opCSTknJoooAKKKKACiiigAooooAKKKKACiiigAooooA6aaMSJgnBHII7GsOa9uHVomcF ehIHWmve3Egw0hx7VXoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigB8UrwvvjYqaka9 uWJJlb8KgooAc8jyHLuzH3NNoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAo oooAKKKKACiiigAooooA/9k=