NASA SPoRT Dust Event Labels

GENERAL INFORMATION 1. Title of Dataset: SPoRT Dust Event Labels 2. Author Information: A. Nicholas Elmer<br> NASA Postdoctoral Program<br> NASA Marshall Space Flight Center<br> Huntsville, Alabama, USA<br> [e-mail] B. Emily Berndt<br> Earth Science Office<br> NASA Marshall Space Flight Center<br> Huntsville, Alabama, USA<br> [e-mail] 3. Date of data collection: 2018-01-14 to 2020-06-09 4. Geographic location of data collection: Southwest United States<br> West longitude: 126.0 W<br> East longitude: 90.0 W<br> South latitude: 24.0 N<br> North latitude: 45.0 N 5. Funding source: <br> Data collection was supported by the NASA Short-term Prediction Research and Transition (SPoRT)<br> project at NASA Marshall Space Flight Center. DATA &amp; FILE OVERVIEW 1. File List:<br> testing_dataset.txt<br> training_dataset.txt<br> validation_dataset.txt<br> Georeferenced polygon shapefiles, comprising .shp, .shx, .dbf, and .prj files with timestamp {YYYY}{MM}{DD}T{HH}{MM}{SS}. 2. Relationship between files:<br> This dataset contains:<br> 1) Georeferenced (WGS 1984) polygon shapefiles containing image classification for airborne dust.<br> 2) Text files listing the timestamp of shapefiles used in the training, testing, and validation datasets<br> used by the Berndt et al. (2021) random forest dust detection model. METHODOLOGICAL INFORMATION. 1. Description of methods for collection:<br> The dust labels were manually assigned by atmospheric scientists based largely on the GOES-16 ABI Dust RGB imagery but<br> supplemented by GOES-16 true color imagery, Area Forecast Discussions issued by NOAA National Weather Service<br> Weather Forecast Offices, and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO)<br> measurements. 2. Methods for processing the data:<br> GOES-16 ABI Dust RGB imagery was downloaded from Amazon Web Services and regridded to a 2-km rectangular grid. Feature labels were manually drawn on the imagery and classified by experts with the aid of a Python Graphical User Interface (GUI) based on the Tkinter python package. DATA-SPECIFIC INFORMATION FOR SHAPEFILES: 1. Shapefile coordinate system: WGS 1984 2. Number of Shapefiles: 83 3. Number of Polygons per Shapefile: Varies 4. Number of Attributes per polygon: 1 5. Attribute list:<br> A. Class: 0 --&gt; No Dust<br> 1 --&gt; Dust<br> 2 --&gt; Reserved for future use<br> 3 --&gt; No Data Value