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Full catalog/gpmgoes14iphxB
gpmgoes14iphxB·v1·dataset

Visible and infrared storm images, North Carolina study (GOES-14)

GPM Ground Validation GOES 14 Visible and Infrared Images IPHEx V1
land NASA GHRC_DAAC Level 1B KMLPNG
In plain English

What it measures. Visible and infrared snapshot images of storms over the southeastern United States, captured roughly every minute during a 2014 field campaign.

How it's made. Taken by the imager on the GOES-14 weather satellite during the IPHEx experiment and saved as PNG images for mid-May 2014.

How & where you'd use it. Lets researchers watch how storms developed minute-by-minute, supporting studies of rainfall and validation of precipitation measurements.

What's measured

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

Coverage & cadence

  • Time span2014-05-08 → 2014-05-24
  • Measured byGOES-14 (GOES-14 Imager)
  • Processing levelLevel 1B
  • Spatial extent-125.395, -10.7964, 14.3952, 49.8525
  • FormatsKML, PNG
  • 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 14 Visible and Infrared Images IPHEx dataset contains visible and infrared images from the GOES 14 Imager collected during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in the southeast region of the United States. The GPM Ground Validation GOES 14 IPHEx dataset files are available in PNG format at 1 minute intervals, for all dates between May 8, 2014 and May 24, 2014.

Get the data

gpmgoes14iphxb_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="gpmgoes14iphxB",
    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.