<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20160823</CreaDate>
<CreaTime>12223200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20160823" Time="122232" ToolSource="c:\program files (x86)\arcgis\desktop10.2\ArcToolbox\Toolboxes\Data Management Tools.tbx\AnalyzeMosaicDataset">AnalyzeMosaicDataset \\gisone\ImageryStore\Geodatabases\Hartland.gdb\Hartland2016_20cm # FOOTPRINT;FUNCTION;RASTER;PATHS</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>Hartland</keyword>
</searchKeys>
<idPurp>Hartland 2016</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Hartland2016_20cm</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAK89+IN54h0C4ttZ0e7f7K37q5t3XfGD/C2D0zyDjHQetehVQ1jTYNZ0q5064GYrhChOPunsR7g4P4UmB55p/xdWPbHq+nHI+/NaNlf++WOfXvXaaT4v0LWiFstShaUnHlOdj/AIK2CfwzXzrfWd1p2p3Ok3MapPE5Rx0BI9D6EdPrVckqNoLK4Y7lPB98/lUczRPMfV9FfNmkeNfEWjsqWmqS+UvSKY+YmDyPvdB9MV3Gk/GlARFrOmkMODJaNn/x1j/WqUkwUkeuUVg6X4u0LWI0+yalAXfokjbGP0Bxn8K3qooKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPJPi9oMsPkeJLIKCoEF2CgIKnhWPHvt/Fa8hedZlDxR+RJjBQE4b6Ht06E+mPQfVt/p9vqmn3FjdpvguIzHIvsR/P3r5U8Q6JdeHNdvNMuiWa3fapIPzqeVYfUY+lS0S0UrrWXtZjHPbMQy/eEmD0+n6VPZ3tvMyzxgsAfmU9foRVeaFL+MRuAZEGI27n2Pv6flVK3t57NpDGUdW4KsMZpqMWvMzOluLm1w6wI43c4fnBrX03xt4g0SOOKx1SQJGMeVMfMUj0wen4YrkRK7ICyeW2ecHIP5jg06JmaUBmLA8Yzn6fSpUbDcmezaF8ZmnkSHV9MUEnBmtX4H/AAFv8a7rSPG/h3WiFs9Uh80nHlSny3z6ANjP4Zr5phZVKOUZWUgjBBBFOkEUhdsyjBycIMZ/OncakfW1JXzBo/jXXtBfyrLV7ny1PET7XT6bWPH4Yr0LRvjO0hWLVdLaVjnMlj2HurH+tUUpI9eornNK8b+HtaYJa6nEsx/5Yz5ifPphsZ/DNdHQUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACV5b8YfCw1DSk121jJubMbJto5aLPX8D+hPpXqdQzQRXMEkEyLJFIpR0YZDKRgg0CaufHjnaNpGef8ip0mV2HmqJO2d21vz/xrV8ZeH5fDPia606QM0anfDI38cZztP9D7g1z+V4659RQkZGxDpj3dq9xbxv5SHDEruCn0JH+FVvL2zgJIpAPOwnI/DrT7HVrvT4JYLWUCKUANGc8n145rQe+j1C3jklszHepjZcWygBiO7ik9B2TMeKQo6hiNvcdsdasTyCOeZAF++eRx+FRkrKcSqY5P7wHB+o/qPyqzcWhlzcLt5XLAuPlNDtcOhWJDkOu3PGQxxn39KtaZdyafOZI2GThSpGdw9M/4VBGsGNkkxyTwUTOD7k8/pTZo3tH6b4yMq/UEexp26COmlW21u4Y3FhJZzY+VghGcenr178816P8ACy8uEvr/AE2SaRoFhR4Y2ckJtOGAB6dR/kV4zZalMTs8wgE5G7HXHf8AAV3Hwz1qRfGVnE04McqtE+cZOVO3/wAeAFRZpl8ybPf6KKKssKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPNfjB4V/tnw1/atrHm900FzgcvD/GPw+9+B9a+fYwuwZfHtmvsllV1KsAykYIIyCK+XvHfhc+E/FdxZxqwsZ/31q3YIT93/gJyPwB70yJrqZOlvDFqtq8wUxiUbsjIxnqfb/CvXJRBp9lDPLZQMsudyoCUwoJ2hfU445FeL7zsyQNuOtdd4f8AFF6ojsZpDtUYiJUEAeh9O+D2/lEkODS0NQXEepXP2WXTjHEhLI0iAOcjPzAcDgZHH41V1eNLcxxI3ysCdwTjP0yP8/Wul1CRry7gkbCedEoZgMfMh5J/76FJf6E0kUUk0Suh+dduQS3t+fbipfc00tY811SxFoYfKlWWOQbgV5wOB396r208kQIO11JyUcZB/wA+taPiJFgljiQDCvJhck4G7j+X86yWjkj2GVcblyucDIrSOxjLR6EvmRlm/wBFtySSckNnH510Hhm3ePXLHUIPLWO3lWZiA2chgccnnOO1cxHGzbQg+mK6HQLxIbaa2ndYk++ju23noQMjHYVNVtRvEdOzlqfUAIYAggg8ginVmaBdrfaBY3KyiXfAuXBB3EDBPHHUGtOmndXLCiiimAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAlcP8T/AAt/wk3hWSS3j3ahY5nt8Dlh/Gn4gdPUCu4ooE1c+O4pRgcbsk8g0994HmBCo3ZBHABrsPiX4Z/4Rjxe9xbKVsr7M8JxkI2fnT8znHowrlmneeIRr9wdhk0GfqdL4e15Io0tr6RnfpCxydpIwc4z7c4/Tp1E2pO8EMQmTYyjYV+b5frivK9m5eCQAPl56V13g7xALCRra/m8uGUZhkduI2+vuP1AqXFmkZ9yh4wikhvLQg7laIMGJDbuf8/nWbfTLPGPtLZuF+TKDAwOx/x9aua3cT3Usck10ks0sSux4DZPsB1Ht29qxmhZmLFgTnDHgYPr9KcdiW9S39vS2vUX5njXIBik2kqRyBx3OabcyRNC4AclSNpLHj6g/jj61CVX7JGA4DBiQCoH456/rViSVprNTNiVsEDcQCvv79Kok94+EOo/b/AscW8MbSeSH6Dhx/6FXfdq8k+Cd0iQahZebkskc4TGNpywb69Vr1vtSNFsLRRRQMKKKKACiiigAooooAKKKKACiiigAooooAKKKKAOU8feGF8V+F7izQAXkf761c8YkHbPuMj8favmiM7SwlAUocOjZB3Z5zX2DXzx8YPCp0XxKNZtU22eoks+Bwk38Q/4F97/AL69KZE11OHEkfAABJIyccCkkYAsoC4JyeKh2nbv4ZfUetAZMZZgGP8APFBJc1i5jtZLZ5JPlWGMfLyar+aGZCFCqoAbrz/+uodftpLp7cK2AiDOen+eKaqiGNEDbgqgdef88UJKyB7lxp3lVYXdSUGFds8j0+nerFjbr5x3uqsjqyH+FjnGPpVdhDFcDBJAPIYDAPf9f6UQOtxKoC+U+CWKkHcRnoDjHbgUB1PSfhnq0Vv4zgtU+zqJlnhY8h253rnP+6AK92r5Y8Laolj4o027Ax5dzEzs3ynG758D6E4FfU9K1jRO4UUUUDCiiigAooooAKKKKACiiigAooooAKKKKACiiigArB8XeHovFPhm70qQBWkXdC5H3JByp/Pg+xNb1FAHxtNHPY3k9lcp5ckTtHIhHKsDgj9KYeqnPHfuK9V+NXhNbTUYvEVtHiC6Ijutv8MgHyt+IH5r715RngYH/wCv/CqRk1Yv6k5E0ZIODCpFVsfKWJ7ZA9un+f8A69XNUQCRflPCqBx+tImmk2sbrMp8xd23HT8qlNWG9ypG4CMCR82O3b/OKUY8stnaeNqhevqabNGI24ZXRcgOBxU0BRHRJFYjkuueD6f5z3NUSWtLcJMV2h4yhZhJjaMY5HX6V9VaReC/0eyvBn9/AknPUZUHn3r5KcTlgDu3HIAXPIx0+mK+jfhRqX9o/D+x3NmS2Z4H9sMSB/3yVqWupcX0O3ooooLCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAzNc0i217RLrS7sZhuYyhOM7T1DD3BAI+lfJ2pWNzo2q3Wl3kO25tpTG3XHHcexHP4ivsSvFfjf4XO238TWsfKlbe82jseEc/j8v4rTREl1PLNX/wCPsMCdxQFgR1655qulwYYgY3JLn5147fUemOaNVuHkuVTduBwB6kkU61sDcpGS+HkfCjpj3PNC+FXE9XoPubiXy4WZkxhgAVXPJPXHfOev8qjknEscatEiscHcDxxkDI+hpFsi/msUlWOMkMVG45Hb/PpSqqraookIeQbWXZ0APXn86YieCGS4KmAEFUVQrj73bg8DqTj8Otew/A/UYns9a0qNw4tZo5dw6OXBBI/74H6V47E0kNkyeaXym/aJlKrkjt2JwPy711XwN1L7L8Q57NjxeWjoBnqykOD+Qb86ajdNgtGfSlFFFQahRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFVNQsLfVNPuLC6TfBcI0Tr6gjFFFAHzTrPgsRaxLF9vJVGKj9zj29a17nw0i2yxCdchFQt5XJ+Yc9fTA/Ciik9kSuplnwuYEMcd8Q5P3/K7FSCMZq9P4Z8xIHkvMup8rcIsZ4Jz169PyooqhIgufChS1kCXqqFwhCw43cYyfmqTwT4afSvHej6gl9vZbgLt8rGQ4Knnd6E0UVqtiXufSdFFFYmoUUUUAFFFFAH/9k=</Data>
</Thumbnail>
</Binary>
</metadata>
