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Full catalog/gpmgoes15olyxB
gpmgoes15olyxB·v1·dataset

Visible and infrared storm images for rain validation (GOES-15)

GPM Ground Validation GOES 15 Visible and Infrared Images OLYMPEX V1
land NASA GHRC_DAAC Level 1B PNG
In plain English

What it measures. Visible and infrared snapshots of clouds and storms over the Pacific Northwest, taken every 15 minutes during a 2015-2016 field campaign.

How it's made. Images from the GOES-15 weather satellite's imager, saved as PNG picture files, collected during NASA's OLYMPEX rain-measurement experiment.

How & where you'd use it. Used to check and support ground-based rainfall measurements during the campaign, and to study how storms developed over the Olympic Mountains.

What's measured

Spectral/Engineering › Infrared Wavelengths › Infrared ImagerySpectral/Engineering › Visible Wavelengths › Visible Imagery

Coverage & cadence

  • Time span2015-11-05 → 2016-05-01
  • Measured byGOES-15 (GOES-15 Imager)
  • Processing levelLevel 1B
  • Spatial extent-132, 23, -62, 53
  • FormatsPNG
  • StatusCOMPLETE

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

The GPM Ground Validation GOES 15 Visible and Infrared Images OLYMPEX dataset contains visible and infrared images from the GOES 15 Imager during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. The GOES 15 images are available for all dates between November 5, 2015 and May 1, 2016 at 15 minute intervals. The GPM Ground Validation GOES 15 OLYMPEX dataset files are available in PNG format.

Get the data

gpmgoes15olyxb_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="gpmgoes15olyxB",
    version="1",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from GHRC_DAAC
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.