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Full catalog/CMS_Mangrove_Cover_1670
CMS_Mangrove_Cover_1670·v1.1·dataset

Mangrove forest extent and change at river deltas (2000-2016)

CMS: Mangrove Forest Cover Extent and Change across Major River Deltas, 2000-2016
biosphere NASA ORNL_CLOUD Level 4 GeoTIFF
In plain English

What it measures. Where mangrove forests stood in 2016 and where they were gained or lost between 2000 and 2016, focused on major river delta regions in eight countries.

How it's made. Combines Landsat optical imagery, Sentinel-1 radar, and shuttle-derived elevation data for extent, while change was found by tracking vegetation-greenness anomalies in the Landsat record at 30-meter detail.

How & where you'd use it. Helps track the loss and recovery of mangroves, which protect coasts and store carbon, informing conservation and climate work in vulnerable delta regions.

What's measured

BIOSPHERE › VEGETATION › CANOPY CHARACTERISTICSBIOSPHERE › VEGETATION › VEGETATION INDEX › NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI)LAND SURFACE › LAND USE/LAND COVER › LAND USE/LAND COVER CLASSIFICATIONBIOSPHERE › ECOSYSTEMS › MARINE ECOSYSTEMS › COASTALHUMAN DIMENSIONS › HABITAT CONVERSION/FRAGMENTATION › DEFORESTATIONBIOSPHERE › VEGETATION › VEGETATION COVER

Coverage & cadence

  • Time span2000-01-01 → 2016-12-31
  • Measured byLANDSAT-5 (TM) · LANDSAT-7 (ETM+) · LANDSAT-8 (OLI) · Sentinel-1A (SENTINEL-1 C-SAR) · STS-99 (SRTM)
  • Processing levelLevel 4
  • Spatial extent-82.0002, -28.0001, 107.027, 22.5041
  • FormatsGeoTIFF
  • 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 estimates of mangrove extent for 2016, and mangrove change (gain or loss) from 2000 to 2016, in major river delta regions of eight countries: Bangladesh, Gabon, Jamaica, Mozambique, Peru, Senegal, Tanzania, and Vietnam. For mangrove extent, a combination of Landsat 8 OLI, Sentinel-1 C-SAR, and Shuttle Radar Topography Mission (SRTM) elevation data were used to create country-wide maps of mangrove landcover extent at a 30-m resolution. For mangrove change, the global mangrove map for 2000 (Giri et al., 2010) was used as the baseline. Normalized Difference Vegetation Indices (NDVI) were calculated for every cloud- and shadow-free pixel in the Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI collection and used to create an NDVI anomaly from 2000 to 2016. Areas of change (loss or gain) occurred at the extremes of the cumulative anomalies.

Get the data

cms_mangrove_cover_1670_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="CMS_Mangrove_Cover_1670",
    version="1.1",
    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.