20150708 19572900 1.0 TRUE This preliminary dataset is a 12-class vegetation and land cover analysis based a high-resolution (6-inch) multispectral aerial imagery (late spring 2009), surface elevation data derived from LiDAR (2008), field studies, and in City of Chicago ancillary GIS data (buildings, edge of pavement). These are preliminary vegetation mapping results for the Cook County Calumet area. land cover vegetation map Calumet Cook County Typha Phragmites Preliminary vegetation mapping results for the Cook County Calumet area. These data are based on aerial imagery, elevation, field studies, and in City of Chicago ancillary GIS data (buildings, edge of pavement). Mark Johnston (The Field Museum) These data can be shared freely as a PRELIMINARY 2009 data product CookCal_VegMap_IS 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