20210301 13272800 1.0 TRUE Map A weighted suitability analysis utilizing the slope, solar radiation, distance from roads and trails, and NLCD land cover to create a score for each pixel based on the weights of each layer. Gridcodes of 6 to 8 are considered suitable regions in which to plant Western red cedar based on the ease of access and the lower solar radiation for increased seedling survivability.  TreesSurvivabilitySuitabilityWestern red cedarForest ParkOregonPSU A visualization of our weighted suitability analysis to determine the best location to begin a planting project of Western red cedar in Forest Park, Portland. Layer created by Anna Stahl and William McCuen of Portland State University This layer was created with the intent of use in a student project and is not meant for wide-spread use. /9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDAREA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+gAo AKACgAoAKACgAoAKACgCjfarp2mhDf6ha2m8kJ9omWPdjrjJGaAOF8X3C+JwbaxlW60y0jMsrwyo 0U8/VYyM4fAGSvIO8ZHphVq8jS/qxcIqV7nP+D/F9x4Q0J9Nu9NluIVfdp0VuqqxVn+dWY4HGSwJ 6/Nk8CtI1IvqOrGMJ8sT1XSNZsddsVu9Pn8yMttYdGRh1Vh1B/z0qyHFxdmadAgoAKACgAoAKACg AoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgDjPF7RL4j0dpR yLW72HIG1sw88+gya5cXb2eopWtqV5L2zh8P7ogt1dzOJDFuIaMnAHuvQD356ivP5ElyPY2oqVJc 3bUwVgs7uBjrLG3j8w5jGS3+zgDnGcjHfJ6dauEpc9oa6b/1p/SOZVJVpXkrdisTP4X1P/hJLG5W R7h8XencAzRf3h/tAnjgHrjIJz14ebSUWtjuglOKpSautn+j/wA+noeqaZqNrq2nwX9nIJLeZdyN n8wfQg5BHYiuw5WraMvUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAU AFABQAUAFABQAUAZut6rDomkzahOjvHEVBVMZJZgo6+5FDdtRpXdkc5Z+Pnv4JJrbw9qbxxgs3MQ +UdSMvyP59uhrJ16admypU5RV2c94m1f+2tQsJptLubRbaKUL50seXZym3AVjkfIcn2rKpVU0lB/ gzF+80ia2BS5llmhdYlG8NltrgEFgOOuT1xnpxXn1ElGK3v/AMMd8Ic06l9LoiunfE3nDeszkpao wkfZgfeOCFXj698da05VZcmlvz/V/gccqqpx5aa3HWVhNfy4WLzGjGUiG4QwEf3sckjnpnJBFEbR vf8A4LMoUpv35bi+Db4+F9RTT7vCWWrXDGElv9VccArz0D4GAO/1OO6jWU24dUaU1Np8263PUq6B hQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAHFfEDT bu702yuILZbyKzn8yW1KM5cMpQMqqCSyFt34ZzmpldxdhO9tClp8Vq9vai1ud7SKJRZvvEbrnjO7 IViF4BHfFeVaS+PT7hq7tzPUW+1JdadUjtFhaCQKpfBDfMpXqAAuduevXoehI3i9P66DTbtJrS5B qk0dstzejg7SFZF4Gc5468kIRngYPSslJSmoruv6/M9KNOahd9mWr5bew06K5lMUm99zRRS/ejKk YyBgfMccDsOeOKjHX3tzyJuMI80znbCe4Mv2mKeZZ/NXyokOEd8jAHYcDBOO4zxk1tt7v9eoYRTq L2k7pf1saGoaNZX+nSrNqE/2h1Z/tFwdqWzZyDuByDu6EZzwKUZ2n7vTt1NYcvtOZfNfodV4J8RL 4i0ESvIr3lq5trsqpAMigfMMgcMCre2cdq9RDnHldjpqZIUAFABQAUAFABQAUAFABQAUAFABQAUA FABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAEUsUdxC8MqB45FKurDIYHgg0AeSW7RaHrtx4Rhb 7Zb20RMMVkN0yI2dkbfe+ZQOSRwu05JbA4quFTn7RbiUIt3YqeIdNhaHT3srwSsdsCXNqU3sqjON wHTIyfU88nnkq4Wtze0k0u9ux6dKtTt7OKv6m7qrW9siMZAtpcW20ysMEtlsnA6/e/T0rGUPhcd0 /wCv68wozlKU4yKdxbyOsFu0Mn2VdrTI0gLuM/wncRjrzkZPGB33tFS5nv8AgeU6PPNQtcNP0tNU 1WK+juoLWPBCoqMSQByp/hAxkcHpVSlaLhLc2qu8uSMrLt3L4ubZ7mSEtdSRxv8AJIiKY3yAPlGQ c8479eOtZeyioJX/AK+4y5Y2tch+H+r2NkmpadPexWynUJRZ21zMol2AKScZ+UEkkD6nvXr0/hRr OTk7s9FqyAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAK ACgCjbaXp9pd3F3bWNvDc3JBnmjiVXlI/vEDJ/GgDi/EunwWGsah4n1u5uYbaMW9rYxWgV2cjccn cpALPIVwcD5QSeeJlGLXvDje9kYj205iLXkTpp0xzE0pDOrEYHQAkgHpjrwM9a4GouXNDRr8jSbc YKCehdKQQ3lu5cwLOrpDBOwB5xgH+83+feuSpNyjJR6W2/rYrByUqzbNvUl0uwtlW2skml2DZCxY xg7eBszjJ6/mSavntK7/AK+Zi1eXLFXkyC1v727iWO78ie9ik3oSVURYA647ZGeemB16UnKLa5Eb qi0r1HquxxXiO3lms7qH7BaTOq4MkH7wuTtDMG5zhD6YGDgEmuynNJrXT/h/1MIxm5NW2+Z63o+o 6ZcQLZ6dqcV61rDGHImEj7Svys5HcgZz3ruEa1ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQ AUAFABQAUAFABQAUAFABQAUAFABQAUAFAEE9vFcwPBPEksUilXjdQysD1BB6igDjtX8EWdj4cuk0 HTYptS2r5clw/mS7Q4YhHc/Kwx8vIUELngVLimmu4HGSahDd+MbW2v4Cl1C/kLD53z+YDk5UcMMh WyDjoecV58sPOnRlCL3NsP7OlaUtXc6iSBdPnla5imSbYXi3RNIzkA/IrDIGABjnv2xXI4SnH35W W3l6nXGrCMr043bOeQ3Qurd57WWXywZhBCcGNd2cnPXJ6Addp9K3moqLSdr6XfXQ58NRc6rqyVrP YhvdZJmuDpwuGJDYhCMZJGyBjn7i5Psf0qqeH9xe0t+n/BZeInKMpOnp3Zc8DeIfCHh6/msDbzWe qTxxyXt7PAqxh2z+7LKSIwCCAGwCecnOT6SaaVjjPVrW7tr62S4tLiK4hflZInDq30I4qgLFABQA UAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBzXinRY Lux/tFHgt9QsVaaC7l+UKADlXbqEI6nsQG6gVMo8yaYHIz3yalFpVvY3rW/nW7XAVfvFmCnb3Cgd cd9p7nNeXKKgm5q9jeE/Y0+dF/7Baw6QGkjillW4UyXRH7xiBkZOfbHoOMCsvaylH3VbpYqhU9tP mmULi00xLxprMoLxw0ksoJTzGOAQWzkADAHA5ye/FczjT5HqvQ6JKVd3qbLbXYddaf8AZrUX1zpE DvdpEXBJLzSDkbto5CgYOexrSFot2lotvL7zghTaloZfh3VLfw29v4u8RT23h601NGSPTraN5YpI 9iMjsUGFk4JHXIbAAOa9OEeVWvcUm5O7PVNI1jT9btTdaZdx3MIYqWQ9D6EHkev41QjRoAKACgAo AKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAPP9e8IafpE 0Wt6Va+QkMmbuGNiI1h2MCyJ0XDbGOMcKSOeuGIpudNqO4Ny5eVMW01Kw1iwhaCOO52xrHEI8kTM B1bA5AyxxnuR3Nec7xdmXNRSSTuybRLQTzxJPbxyGJvOlkDFQWySDtBwTkA55z+VTdczaXkWq0pw 5W9uhheJfD1zq9zOdR1AQSNbgQlpMspV8v5ZBxGxG3oCWAAyOa6KNTki+v8AWgTSk1yI4y78EeIW tYNN0q3kt9DlullubVIZF+0kHO5iSTwAoC5C/LnrXV9YjbXc55c2yR2LW2reG7Ka70q48m6iANxb MoKTBSWCtkHaSpxke3OMEctLF2qckuoqclH3arPS9K1CHVdLtr6Bg0c8YcbWyBnqPwOR+FekWXaA CgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgDy6S Oz07xfrMVrfSTNtNyyxMPMtpWJZ1LYJ6YIHTB7Ac8WLVmmi6dNSbk3Y29TZn1C5KW3miVYxtjG5m 4BOR36L+C1wye0E7N/8ABN6UEr1XqkUkMMbecbwlSVMEIgZT8py2R7gdMnrmmqcV5vq7kzxM5e7H bsizeeJY4JJ4LSCZd8372YuWIyvHAyRk8Y6gYwPSlHmjdP0BJQmoz+4wNTlmulijuLyPzpsvNDJK cqoB2rz34J54GRVQhFe8tbdTKvQlVl/K+xc8P6jN4bWS+ljkOhXHzSRwDclm5YDfyRhD8xbbnnnH JNddCq/gl9/cyjGa0kelhgyhlIIIyCO9dZQ6gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgDzvVtA8SRahenS7aynN9K7i6eYw+WrYykgALEYUAbc5OS QtYVKPPNNvQXUoaXaX2mXN9a3V5LO9tcbHKQFRggMrhwcj5WHqOCM8Vw4ulaV47pHfRrxaVNx0Za +yXDTgwQ7rJeGkyzspx1zyBjPf0rkXNy36m6hh4u1kv6/Az2YNctZI1whWQtK8pCuEzk+Wo6k884 789a0Sd056X/AK1/r8ghTp006kPef3mXqNpDAYo8LHO+FIBwFGAAWPqTkn61rzRnLSN1/VzahUq0 6cpSqcttXtfyRt3NnBqmgCytJZYbYJ5Ulw67TIoOThQeBkDqefqKl1Y06l0tfI8X662u9+r/ADRu eDfEs9y/9g6rZpZX9tGPKEQxFLGAANv91h/dz0GfUD1oVIzV0VOMVrF3R21WQFABQAUAFABQAUAF ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAHD+OdOMccesQSlZ98Fn IjJuV0eUKD1BBHmNjnnODWNaEZRu+gKPM7EMDX97eRwwrcLNCp3yvcOQ/QEBSV29ff8AHFeZJ3jZ f1+ZvD2cJ2bv/XyKmsWMOoqTc6k4lhAVGaLIYAnIDZyRz1OM8UlyyXL1X9f1Y7MPXqYefOlo+n9f qYGkaHe6nK8EHktErhncPhWxgcHvjd1/L339yC3d/M58fUnio2soq/Tr/WxvXBFnJG9sZJW+URJt UxkjODg9B079geOMc9OzlZdN31M/q0aUOZq76FDWZX+0W97Ymwt7u0dr2ORRgtJhgVKliSGDMp6c MccgV0UK0k9U+xy893sek6PqtrrWlW+oWjbopQeO6sCQyn3DAg+4r0yzQoAKACgAoAKACgAoAKAC gAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoA5jx5K0Hhfzl+9He2bD6i4jq Jq8WgMA61BPb/ZdNW4lX5DKGcJ52DlvpuyST1P06+ZN8jTnp/X6GtOE5u0ERvbm3UtbSskhLkZcE BypAA6EnkYHJ6exrKlOU23bQ6qtKlBpt3kacGjS6X4cnttOntze4P2qaQnMYIyQAOhxj+da8yc7t aGEqjnK8/wACtGDgC7UFPKIKJ94scDaOucnA4wee2K5aUKcpXjfQ661SpGOtlciXTn02MxiD7Cly gMr4Ulhn7g6n+LGD6AZGa6VObbc3fscs1BpezXrc47UvE1/8OvE1lJb3vn+H7w+Zc28wOEOCSU/u nOOhIJxkkk134epzRs90YzcW/dPbLG/tNTsor2xuIri2lXdHLEwZWHsa6CC1QAUAFABQAUAFABQA UAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAFPUNPs9Us2tL61iubZyC0Uy BlOCCOD6EA/hQBiW3gHw3a2kdummRt5YwskhLPn1zmlZDuzlLfw14xgGjQOljN5cDJK7yfLbvHjy 3yOWL/N0UFScktisJ4dS2di4VOXdXLVhbzajpl7BPdG0uopTHcieT51m6jgeoIIbuMEZrgqwlCre W36HRCcFFKMbszLjUbKwdbeaEzSWxYK6yE855JJx1IB7/hWfsptt05b+X3HWoxlFOqkl0v8Aj5jG 117nbcXUUlwyycgvgKozwW+hxjHcnqa3jSlu9NP60OHFTpU7wi7r8Pv/ACLN48Wu6lYPc6LJFpqM XKsd/m7cNyD0Xpk9+RzVQUYRbi9TnpTT1UdyLSru40TUmvdHBXT55Ua9hkjLLMAdrPFg5DAdj1wB jpjSjiHH3an/AA3qbTjTk2qb2/H0PT7K+tdStEu7G6iubd87JYXDq2Dg4I46giu4wLdABQAUAFAB QAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQBz3iHQzqKm5s 5PJ1BEChskLMgOfLfHOM9COVJz0JBzq01Ujysak4u8XY4xbMvZXOxljnRj9osVkWOcYwxBByTxhs 55HI4Irz5KpB8r08/wCv8jenKCtdOX9f11JbG4tJr1rGCIw24kzJIzhVD5ycjvwDyeuMVzr2krOU r2OuvSpxjrDfYuTB7Oy1LVHvvnijEcSeTtVVaQbQoByN2MeuTzWsZxnpHY5IYecaqv16FMxQ/YmV A1tEVBilWUlU7qSCeO3+Nc6c+e71fVW18/U0jPDSlZLlfRmUsXiDQ77+1tEeMIkRNxaPJ+5nBcks q5wpJIPHOW9yD6NDER+BPbv0KdOLT9orN7NbfceleHvEFl4h02G5t5oPtBhje4to5hI1uzDOxsdC DkcgdDXccJtUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUA FABQAUAFAHmGr6fcah441eOG4mjRRAWRMgN8g5J6AADqfauPEqF02rs2p1504uMeo/YlrdXC2Kpd yh1dkRSNrN12nbljz+R+ueKcHUSi3Zf5fM2pVVS1nrIkbRdQ1DSZ4xDeW7q7SlZDlnYklducD5cL 9Rkd6u6hZK39f0yY1b1eZ7CaKbqeOWG4txHNCgEiKC7HAHAA68MOeO/HFYzpxcr30MK2GUXdPQr3 WnwvdNDIJEYtvhBcHawGdpAx6Z6A9iR0qpVJRtJfP/M3w7jUi6Ut+hDojWeieJBrKPm2nja3uxnD Q5dcSN6qCpBOBgHPauzD1mpezmvR9Gcsqspe5Poer13AFABQAUAFABQAUAFABQAUAFABQAUAFABQ AUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAHnGu6Frc/inULi3sbiSyuDGwkgmhUtiMKR8z Aggjr71z1qTnqrfMOaaVouxqeE7d1hZ5rQx+Q8kQaYhnDq7KeQT2wMjr7544KkeSTj1HBdWLZ6lr V1aWl1ForXIkPmJcl4huic5G0b8jK46+gzXR9UfcrmRgX39s6Pq0V7LBcWsFzL9mLvLFIWLAkZC9 87u3cdcA05Yfli2axq80VCRrah9nhsrW1hV1ZU8x41bLBlx944yW59selcl972+ZChNP92jkoLiO +1G3mNu6yAgP+83eYoXByCOSSO3rj3raUZKDilZdPv8A6/MrFU4WUubmn/X3+p1vg3XXiRdNvEaK 3dttg0p5UDjyW9xg7fUAjtk9lKpf3JPVHNFvaW53dblBQAUAFABQAUAFABQAUAFABQAUAFABQAUA FABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFAGfrUV/Not5FpdytvftEwgmZdwR8cEjBz+VAHnGj XPiLVUu7e08NXUEEbcy3k7QLcTHlnbzELsM9tuOlcs8Nzu7YPVWPRtCs5tP8P6bZXGzz7e1iik2f d3KgBx7ZFdQHO/ECZksdNEUbyTi+SWNFCnO0NnIY88HgAEk4GKzq/AwOe0q5vNV0+4kudKa1QOJk RWXPlncFHOADgjqc5GMZFebXjytKDOmCjP42/RdTd8HWbxG4ukjjSGY5IZPnBODgHPTn0HQVLbtZ u46tSNSzWltPuMLU401NL93WMfvG2NExHyMcqwJGchxu6duBSbdOquXr+a/4ApR56F+sfyOu8Gaz batoSQwG1WSyxbSR2rZjXbwCnopA49MEZJBr14S5o3OVO501UMKACgAoAKACgAoAKACgAoAKACgA oAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgDA1/QG1SazvbecRX1kWMJkBaNw2N yuoI4OByORjuMgxOCnHlYHEXWkard6x5NoYbe+WLN/b3DlRMd2RJGVGCp9eOQd2TurkmlBcs/kax n0ZvWeuFtKntrOGWC7tncTpK6FkIPPPQnJUDjoRgenNKHK7LYuNJRtfZmTrKXEul3Yfzpp7iBZUF updyDzwMZ9zxgbuBxSX8WHlua05RhCb/AAOb8L6dr9vc22raDqOnyXwy8+iymSNpIW2AgsxUEpnj 5cKTjJzz60bdGcTd2e5VQBQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAF ABQAUAFABQAUAFABQAUAFAHhXi25bxP8SJIxbajBJpMv2OzuY4WCq5UMzvlSCMnjplRnnORjWmoQ bYm7K52uhvZ3ct/BIDHfmON5ZRGMIqomFz1Ocbsf4VwVo3il0OmE3HlkugsGj6kZrm8kmT7GYz+6 kGzcqk4yM8cZILHv2FZu3IoRephVU5zcr29CrqGn2v8AZN9rJmAvtNje6s5I5MBH2nbz0YH7uOQc 454rShJwkox+ZMEjpvGep32leFLq406SJNQfZDbeYNwMjsFGBxk8kj6dK9RuyuNFrwvfXOp+FdIv 7zYbm5s4pZSgwpZlBJA9D1pgbNABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFA BQAUAFABQAUAFABQAUAFABQBxut+GNWn1yS/0nUIYIpot09tMmRLOoCo27GQNuQcdMLwRkHKrRjU VpA9VY5/WfAeu3ek3upRyWja4sS/Y7RMG3Bzlg25fnf5nCluASDx2KVJU4qO402o8vQWwu9Way07 SL25sLlEt8yyW9x5gQqAu1ztwGyeBk5IPoK469JQvJMppTVo7l24g0+40y8bU55IYfKOXJwu5jwG Xgkk5wAMYyM84rno3crx1dylSqU733Zz2j6TceL9b+z3lyfItdk06TXkzyyI/IEas5KKQMFhjvjJ 6erBO927kN6WsevwQR20EcEKBIolCIg6KoGAK0JJqACgAoAKACgAoAKACgAoAKACgAoAKACgAoAK ACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKAPKNI1H7DHNZz6S0lzCsjyC5iNu0fzEAqz 43rhScrnPauCtS95tvRlxfLqtGRWt9Z3NzHcXTShZTvgY20ogJK5Gx3X5ztBwc9uB3rOrTqU4/u4 /wBehNWpJ6rVmnZ6ppll4t0yeeURtcCS0RzG2S7bNoY9snjnvjnkVpgVJJ8zIjGSvzbnpNd5QUAF ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUA cte+DLLUvE7a1qFzc3SGJY1sJNnkAKcjgLluSTgkjJ+mFZAYvxRu3W10ewtgftct01wnzKqhI0IY lm4HMigDvmpqW5Xc1oKLqLm2KHg/RbCPX7QWzzX8NpFKxklfzo7dyVICtjaG6njnvXNhJ1J3lNWO nG1VKyVvO3/APUq7DhCgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACgAoAKACg AoAKACgAoAKACgAoAKACgAoAydR8P6Xq19Y3t/Yx3NxYM7WzSEkIWABO3oeg6g4xxQBoQwQ20Qjg ijiQchUUKPyFAE1ABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAU AFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAFABQAUAf/2Q==