Full catalog/Burned_Area_Depth_AK_CA_2063
Burned_Area_Depth_AK_CA_2063·v1·dataset

How deep and severe fires burned in Alaska and Canada

ABoVE: Burned Area, Depth, and Combustion for Alaska and Canada, 2001-2019
biosphere NASA ORNL_CLOUD Level 4 COG
In plain English

What it measures. Yearly maps showing where fires burned in Alaska and Canada, how much of each area burned, how deep the burning went, and how much carbon was released, at about 500-meter detail.

How it's made. Built by detecting fires with MODIS satellite products, mapping burned area from finer Landsat imagery, and modeling burn depth and carbon release using field measurements and other data, for 2001 to 2019.

How & where you'd use it. Valuable for studying wildfire impacts, fire ecology, and how much carbon northern forests release into the atmosphere.

What's measured

BIOSPHERE › ECOLOGICAL DYNAMICS › FIRE ECOLOGY › FIRE OCCURRENCEATMOSPHERE › AIR QUALITY › EMISSIONSBIOSPHERE › ECOSYSTEMS › TERRESTRIAL ECOSYSTEMS › FORESTSBIOSPHERE › VEGETATION › CARBONHUMAN DIMENSIONS › NATURAL HAZARDS › WILDFIRES › BURNED AREA

Coverage & cadence

  • Time span2001-01-01 → 2019-12-31
  • Measured byTerra (MODIS) · LANDSAT (OLI, TIRS) · Aqua (MODIS)
  • Processing levelLevel 4
  • Spatial extent-167.959, 42.885, -48.7792, 72.9491
  • FormatsCOG
  • StatusCOMPLETE

What you can do with it

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

This dataset provides annual gridded estimates of fire locations and associated burn fraction per pixel for Alaska and Canada at approximately 500 m spatial resolution for the period 2001-2019. Gridded predictions of carbon combustion and burn depth for the same period within the ABoVE extended domain using the burn area maps and field data are also available. Fire locations and date of burn (DOB) were detected by MODIS-derived active fire products. Burned area was primarily estimated from finer-scale Landsat imagery using a differenced Normalized Burn Ratio (dNBR) algorithm and upscaled to an approximate 500 m MODIS resolution. Aboveground combustion, belowground combustion, and burn depth were statistically modeled at the pixel level for every mapped burned pixel in the ABoVE extended domain based on field observations across Alaska and western Canada. Predictor variables included remotely sensed indicators of fire severity, topography, soils, climate, and fire weather. Quality flags for burned area and combustion are available. Fire is the dominant disturbance agent in Alaskan and Canadian boreal ecosystems and releases large amounts of carbon into the atmosphere. These data are useful for studies of disturbance, fire ecology, and carbon cycling in boreal ecosystems.

Get the data

burned_area_depth_ak_ca_2063_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="Burned_Area_Depth_AK_CA_2063",
    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 ORNL_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.