Full catalog/HMA_DEM8m_MOS
HMA_DEM8m_MOS·v1·dataset

Detailed 3D elevation map of High Mountain Asia, from WorldView and GeoEye satellite cameras (8 m detail)

High Mountain Asia 8-meter DEM Mosaics Derived from Optical Imagery V001
land NASA NSIDC_CPRD Level 4 PNGGeoTIFF
Illustration of what Detailed 3D elevation map of High Mountain Asia, from WorldView and GeoEye satellite cameras (8 m detail) shows
Illustration of the concept — not real satellite data.
In plain English

What it measures. Detailed elevation maps showing the height of the land surface across the glacier and snow regions of High Mountain Asia, at a fine 8-meter level of detail.

How it's made. Stitched together from very-high-resolution images taken by commercial satellites, then converted into 3-D elevation mosaics.

How & where you'd use it. Useful for studying mountain glaciers, snow, and terrain in this region, including tracking how the landscape and ice change over time.

What's measured

LAND SURFACE › TOPOGRAPHY › TERRAIN ELEVATION › DIGITAL ELEVATION/TERRAIN MODEL (DEM)

Coverage & cadence

  • Time span2002-01-28 → 2016-11-24
  • Measured byGEOEYE-1 (CAMERAS) · QUICKBIRD-2 (QUICKBIRD/BHRC-60) · WORLDVIEW-1 (CAMERAS) · WORLDVIEW-2 (CAMERAS) · WORLDVIEW-3 (CAMERAS)
  • Processing levelLevel 4
  • Spatial extent67, 26, 103, 46
  • FormatsPNG, GeoTIFF
  • 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 data set contains 8-meter Digital Elevation Model (DEM) mosaics of high mountain Asia glacier and snow regions generated from very-high-resolution (VHR) commercial satellite imagery.

Get the data

hma_dem8m_mos_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="HMA_DEM8m_MOS",
    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.