Full catalog/modis_mosaic-cyclone-beryl
modis_mosaic-cyclone-beryl·dataset

Hurricane Beryl Cloud-Top Temperatures

Brightness Temperature (Band 31)
atmosphere NASA VEDA COG
In plain English

What it measures. Maps brightness temperature from a thermal infrared band over Hurricane Beryl, where very cold readings reveal the tallest, most intense storm clouds.

How it's made. From the MODIS instrument aboard NASA satellites, measuring calibrated infrared radiation (Band 31) in the 0.4 to 14.4 micron range.

How & where you'd use it. Helps forecasters track the storm's structure and strength as it develops.

What's measured

modismosaiccycloneberyl

Coverage & cadence

  • Time span2024-06-26 → 2024-07-11
  • Spatial extent-102.812, 6.195, -13.341, 49.1
  • FormatsCOG

What you can do with it

  • Map air pollutants — NO₂, aerosols, ozone
  • Track greenhouse gases and Earth's energy budget
  • Feed weather and air-quality analysis
Official description

The MODIS Level-1B data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 µm to 14.4 µm region of the electromagentic spectrum. These data are generated from MODIS Level-1A scans of raw radiance, and in the process are converted to geophysical units of W/(m2 µm sr). In addition, the Bidirectional Reflectance Distribution Function (BRDF) may be determined for the solar reflective bands (1-19, 26) through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry). Additional data are provided including quality flags, error estimates and calibration data.

Get the data

veda_access.py
# NASA VEDA — open STAC API, anonymous (cloud-optimized GeoTIFFs)
from pystac_client import Client

cat = Client.open("https://openveda.cloud/api/stac")
col = cat.get_collection("modis_mosaic-cyclone-beryl")
items = list(col.get_items())          # browse the analysis-ready COGs
# open an asset with rioxarray:
# import rioxarray; da = rioxarray.open_rasterio(items[0].assets["cog_default"].href)
NASA VEDA is an open STAC catalog — browse and stream the cloud-optimized GeoTIFFs anonymously (no login).