20170926001444001.0TRUE2017092602648001500000005000ItemDescriptionSONOMA_VEGETATION_HEIGHT_WM<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The canopy height digital elevation model (DEM) represents the difference between the highest-hit (all vegetation and man-made structures included) and bare earth (all vegetation and man-made structures removed) digital elevation models. Each image corresponds to a 37,800-square-foot tile. Each pixel is 3 feet and represents an average tree height for that area. The specified coordinate system for this dataset is California State Plane Zone II (FIPS 0402), NAD83 (2011), with units in US Survey Feet for horizontal, and vertical units are NAVD88 (12A) US Survey Feet. The dataset encompasses all of Sonoma County and portins of Mendocino County. WSI collected the LiDAR and created this data set for the Sonoma County Vegetation Mapping and LiDAR Program.</SPAN></P></DIV></DIV></DIV>2013 LiDAR Derived Canopy Height - Sonoma County CASonoma County Vegetation Mapping and LiDAR Consortium, NASA, University of Maryland, Watershed Sciences, Inc., Tukman Geospatial LLCLiDARLight Detection And RangingSonoma CountyLake MendocinoSonoma Lake Watershed/9j/4AAQSkZJRgABAgEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigApKKzr68khu7WGPb+9bDZUk49uRj600ribSV2aVFFFIYUUUUAFFFFABRRRQ AUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTcAkHAyOhp1FABRRRQAUUUUAFFFFABRR RQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABSU1mCgknAHJJrlrbxhEjsmohYiHYbl z0zx8v075oWuiIlNR3OsoqOGaO4iWWF1eNhlWU5BqSgsKKKKACiiigAooooAKKKKACiiigAooooA KKKKACiiigAooooAKKKjkby42cKzbQTtXqfYUAPorBTxB5mWig3LnA3ttP48dfaorzVWuYdgjaLv uV85/IVyzxdON+66Anc3Zp4IykcrqplO1VP8R9K4XxC9r/aMltbsGBAEq9QCOvbr1z9ain+0zK0b zO6LkFSxOeOoOapPZzMspG/fu37mXKkDvx/hVxq05atnLVnKSska2i+Iv7Ms47UWe9C5IYPt6np0 OT+NTN492OFNgHAOC4mKj8ttc6jT2UsKpImcbgWI2/547Zqsz3EE0hZMQszSNjGcn3/Acf411048 zfXtruc7rzjFJO3yOvbx2wIxpuVPVvP4/wDQa09J8TW+pyeRIn2ecn5VLbg30PHPtXnolbaG8pnB G0bGwf8APtUJuPIfcoMbZDCRTyv5f0q1S5tEg+tSi7tntFFY3h/Vo9W0xHDhpIv3cvPUgdfoetbN YtNOzPQjJSV0FFFFIoKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMXVtLFyr3Vqg+1qMj0kx2 Pv6H6dqwwGEIBLADoMfe+v8AKu1rnddsZS4nhkKqWBIK5G4evoD/AD+tefjqbceeKu1v6Dpwi5Wb tcyJQssfnRp7DHUVmJMQxaGSRZQcgFxtPvzzg9anunmiukmaPCvyyBsqPx9aoCOW5YyINrAYUyLw fb6VOGppw5m9P60OSs2pW6hfxtJMHYeTITncTkHr1x19M1XuHmRslIlzy2xeDj+IYqW3mvIiq3Ub 7N207h/L9K0hp7rvfyA6kfKofaRkc12+3VGyk1boYezdS7RmfZHnG+0YSZBLRlSCMc8dffiqgtHM ZUSL0DMg5Jz+XOR/OjUIVt5l8oum/kqewORz9eaZ910kSYsoJI+bn8RmvQhK9NNPfa6/M5ZfFZo2 PDuozaXK6WpjMcrfMsmdv1GK9Esb2G/tRNCwZclTjsR1ryoxNKiv5YZh0beQRz0+np6c16N4ZtTa 6NHvjCSSM0jAHOcng/kBXPUV5c3NfyO7Cyl8NtDaoooqDtCiiigAooooAKKKKACiiigAooooAKKK KACiiigAqN41kRo3GVYEEHuDUlFAHJanpUdvbmOY4t+iS9CPr75H41hJJNFPtOFGSN47EDpjpkV6 Oyq6lWAZTwQRkGsa70OIoz2qhW24MZOVP8/wHSuP6soJ8uqfT/IzqJydzDUCXJBHlEH5gcDP4cD/ AOtSrHIpEUTA4c4Zm5Of19fyqGO6tYEaCNZBKAcwlSSGBPGfZgR6dasP5MTL5qKqsQS7tgDHP557 V5FZThLlafkrfoaU7SWjX3mJ4iknF3EDtUAcNg4P15xXP2jKJVQ5C5wpA6n6/nW1r9wn28RJIdhX BIY8emfX/A1k3MkiCOOVfuZMUf8AAFbnA79Rn86+ry2H+yxi1bQ8bFS/fOVzTGX+ZpFBYbTFjsM9 Pfv+NdPomrSWMawSP5tqCCrkHcqnvnoRnt161wUc7NFuMhEgI2nPv61t2NyzQlWmmjIX5Is9QPfu KwxNKdNXTNqFZNnqEbpLGsiMGVhkEdxT65fw7rsbrHp9wrpPzsYrw/J/L+VdRUrY9GElJXQtFFFM oKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDkPFNmYZYr6C3WR2IRhtB9T0xk/SqMcrz iUSxoIgCvycBiMZ69+3+c11mrWjXtgYULg70OFAOQGGeDwRjsa5dPCdxLMzSDy0jDALu37ifTOB+ OR+fNRWw8K8U27NdTllzwn7qumc5qqxvbxtArHyhtOR0HbuR37VmgLNLGrElmyGyOvTHI5NddqHh ySGCeZkkjJbCFJF2FQvG4dskAdT1+lYs+hhZ0aG5Uo5yrvwCRjjjIBznrj+lelhbU48t7nnV4Scr 2MuOGGFnV5A5HdfTrwParouPMtPs0kWdo+RgMFSScninXMN1DrXmzXEjktjzGBkIznaCOvOOPbkC kDzWcqs0Xl7m3gE8MucZAJPWqrwU1zLV7oim3F26FzQr06bqYnlc5HAL9MH+tenQTJcQJNHnY6hh kY4NeQ388TXaOgABTJAHFdX4H1I7n07zGkiCl4wf4MdRn05rjlTbj7R9eh34aqoy9mdzRRRWR3hR RRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFACEAggjINcvqmkTwzCSxjVonbLrkhkb jBB6bfXjPJ9a6miqhNxd0RUpqaszyXVtOurLcV8ucTKHc4BZChxnjjrkZ5HX0puhW11fgwZbycYZ 4wSyZ9VXkk4HJ9AM8cej3uh2t8wkPmxTKu1JIpCpUe3YH3xVLTPC1vpl19oSd3l3ZDbVB56jp0x/ P6Y61ilyW6nnvByVS62OPu9FgtrhEeQrb3EReNyeOMHk5xwC2OgyBnAOa2/D/hmfTruK8Ez4KggI 3BzncGGOQQFI5xx9K0JdJkW5mt4pCYZpDMRwPLJwdpBB3KSO3I4HStmxg8myhiDyybVGC5HPscen +c1nOs3GyZrSw657tbFxW3KDgjIzyMU6iiuY7gooooAKKKKACiiigAooooAKKKKACiiigAooooAK KKKACiiigAooooAKKKKAGFcsHyeB07U+iigAooooAKKKKACiiigAooooA//Z