Vegetation classification map and covariates associated with NEON AOP survey, East River, CO 2018

The package contains the following datasets: - Classification vegetation map: it contains the classification map (PNG, geotiff), which is derived from hyperspectral and LiDAR airborne data acquired by the NEON AOP in June 2018 using a machine learning approach, and the class code (csv) showing the corresponding vegetation class to pixel values. - Classification_reference_data (csv): it contains reference data used in the machine learning procedure to predict vegetation and non-vegetation classes; - LiDAR_derived_products (geotiff): elevation, slope, curvature, Topographic Wetness Index (TWI), Topographic Position Index (TPI), solar insolation, canopy height model (CMD). The topographical metrics were smoothed with a 5x5 pixel window; - Vegetation_indices (geotiff): Normalized Difference Vegetation Index, Normalized Difference Nitrogen Index, Normalized Difference Water Index; - Cloud_shadow_urban_masks (geotiffs): Masks of clouds and shadows that were applied to the mapping; - Covariates_10mGrid_vegetationClasses_topographicMetrics_soilProperties (csv): 10-m gridded data that integrate all the previous datasets as well as geophysical data. Geotiffs can be visualized with any GIF software or library able to handle geotiff images. CSV can be open with any software able to handle comma-separated values files.