Earth Data School
About
Full catalog/campfire-lst-night-diff
campfire-lst-night-diff·dataset

2018 Camp Fire: Change in Nighttime Land Temperature

Camp Fire Domain: MODIS LST Night Difference
biosphere NASA VEDA COG
In plain English

What it measures. Compares nighttime land-surface temperatures before and after California's 2018 Camp Fire, using three-year averages from 2015–2018 and 2019–2022.

How it's made. Made from NASA's MODIS satellite instrument, which measures the temperature of the ground surface from space.

How & where you'd use it. Shows how the burn altered nighttime ground heat, supporting study of the fire's long-term effect on the land.

What's measured

campfirelstnightdiff

Coverage & cadence

  • Time span2015-01-01 → 2022-01-01
  • Spatial extent-121.785, 39.595, -121.353, 39.9
  • FormatsCOG

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

MODIS LST Night difference from a three-year average of 2015 to 2018 subtracted from a three-year average of 2019-2022. These tri-annual averages represent periods before and after the fire.

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("campfire-lst-night-diff")
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).