• Raster data
    • Values are stored in discrete pixels of an image, usually a geotiff
    • Pixels contain color values or a research value
    • Raster data often comes from analyzing satellite data
    • Distinct from vector data that is continuous
  • Sentinel-2
    • 5-6 days revisit time
    • 10-60m resolution
    • 13 bands
  • The satellite image is a composite from a bunch to avoid clouds etc
  • Google Earth engine catalog
    • Pipes in data and puts it in a consistent data format that you can access with JavaScript
    • Always starts with a box over the area of interest to create a frame of reference
      • You can also draw the boundaries yourself and link it to the variable
    • Attach the variable and pass it a series of filters – keep number of images as low as possible to increase the chances of your computation succeeding
      • Area
      • Quality – 10% or less
      • Bounds – time
  • Global Precipitation Measurement (GPM)
    • Satellite constellation
    • Data is released every 3 hours
    • Precipitation estimate every 30 minutes
  • Earth engine alternatives
    • The EO Browser
    • Climate Engine
      • Prebuilt-in calculations including trend mapping
      • Can download data by region and globally
      • Weather and climate data
    • Giovanni
      • NASA tool
      • Access to a lot of datasets that Earth Engine doesn’t have
    • NASA EO
      • Most simplified
  • Tutorials
    • https://docs.google.com/document/d/1L_lso7bKhRVoQ-8RVkyUgqC9MT-QmREb7ik928meQA4/edit
  • Presentation: https://docs.google.com/presentation/d/1l-cDi16Q41PXHg-UE6Jw3eWcu3hhsnlHOemuMpu2dIg/edit