Full catalog/HMA2_FGP
HMA2_FGP·v1·dataset

Where mountain terrain makes floods likely (High Mountain Asia)

High Mountain Asia 30m and 8m Flood Geomorphic Potential V001
hydrosphere NASA NSIDC_CPRD Level 4 GeoTIFFShapefile
In plain English

What it measures. A terrain-based index showing which low-lying areas near rivers in the mountains of High Mountain Asia are most prone to flooding, based on how high a spot sits relative to nearby riverbanks.

How it's made. Calculated entirely from detailed elevation models (not a live satellite feed), comparing each point's height to the bankfull level of the nearest river — at 30 m across the region and a sharper 8 m over Nepal.

How & where you'd use it. Helps map flood risk in steep mountain landscapes to support hazard assessment and planning.

What's measured

TERRESTRIAL HYDROSPHERE › SURFACE WATER › SURFACE WATER PROCESSES/MEASUREMENTS › FLOODS

Coverage & cadence

  • Time span2017-07-16 → 2017-07-16
  • Measured byMODELS (NOT APPLICABLE)
  • Processing levelLevel 4
  • Spatial extent58.1, 9.5, 121.6, 49.7
  • FormatsGeoTIFF, Shapefile
  • StatusCOMPLETE

What you can do with it

  • Follow rainfall, floods and surface-water extent
  • Track soil moisture and the onset of drought
  • Monitor lakes, rivers and groundwater storage
Official description

This data set contains Flood Geomorphic Potential (FGP) at 30 m resolution for the High Mountain Asia region and 8 m resolution over Nepal. FGP is a digital elevation model-derived index that provides high-resolution flood mapping based on bankfull elevations, defined in terms of river widths, and elevation differences between points under examination and the closest bankfull elevations in the river network.

Get the data

hma2_fgp_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="HMA2_FGP",
    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 NSIDC_CPRD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.