Full catalog/Global_Salt_Marsh_Change_2122
Global_Salt_Marsh_Change_2122·v1·dataset

How the world's salt marshes changed (2000-2019)

Global Salt Marsh Change, 2000-2019
land NASA ORNL_CLOUD Level 3 COG
In plain English

What it measures. Maps showing where the world's salt marshes were lost or gained, in five-year steps from 2000 to 2019, at about 30 m detail.

How it's made. Created by tracking changes in plant greenness (a vegetation index) in Landsat 5, 7, and 8 satellite imagery within known salt-marsh areas.

How & where you'd use it. Helps researchers and coastal managers see where these valuable wetlands are shrinking or recovering over time.

What's measured

LAND SURFACE › GEOMORPHIC LANDFORMS/PROCESSES › COASTAL LANDFORMS › SALT MARSHBIOSPHERE › ECOSYSTEMS › MARINE ECOSYSTEMS › COASTALSOLID EARTH › GEOMORPHIC LANDFORMS/PROCESSES › COASTAL LANDFORMS › SALT MARSH

Coverage & cadence

  • Time span2000-01-01 → 2019-12-31
  • Measured byLANDSAT-5 (ETM+) · LANDSAT-7 (ETM+) · LANDSAT-8 (OLI)
  • Processing levelLevel 3
  • Spatial extent-170, -47, 180, 74
  • FormatsCOG
  • 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

This dataset provides global salt marsh change, including loss and gain for five-year periods from 2000-2019. Loss and gain at a 30 m spatial resolution were estimated with Normalized Difference Vegetation Index (NDVI) anomaly algorithm using Landsat 5, 7, and 8 collections within the known extent of salt marshes. The data are provided in cloud-optimized GeoTIFF format.

Get the data

global_salt_marsh_change_2122_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="Global_Salt_Marsh_Change_2122",
    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.