Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Field data

This data publication consists of the weight before and after drying, along with other relevant information, of 120 grass plots at the Mazama Meadows site near Olympia, Washington on 09/22/2020. Each plot was destructively sampled and broken into three sample types roughly defined as: live (live vegetation), top (vegetation greater than 1 foot tall), and bottom (rest of the vegetation). Together these three samples represent the entire plot. These data were collected in order to characterize the "ground truth" for fuel moisture right after overhead imagery were collected from two unmanned aerial vehicle (UAV) flights at 9:34am and 2:56pm. Also included is a shapefile containing the geolocated polygons for each grass plot.
Together with the SWIR data (https://doi.org/10.2737/RDS-2021-0072) and the MicaSense data (https://doi.org/10.2737/RDS-2021-0071), these data were used in a study to investigate creating a spatially-explicit moisture input for fire models. A model was developed using the imagery data to predict the moisture collected in the field.
Original publication date was 09/23/2021. Minor metadata updates were made on 10/05/2021 and 10/20/2021.