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Full catalog/LC01_SRTM_DEM_90m_NEC_1083
LC01_SRTM_DEM_90m_NEC_1083·v1·dataset

Land-elevation map of the Ecuadorian Amazon (90 m)

LBA-ECO LC-01 SRTM 90-Meter Digital Elevation Model, Northern Ecuadorian Amazon
land NASA ORNL_CLOUD Level 4 GeoTIFF
In plain English

What it measures. A map of land elevation across the northern Ecuadorian Amazon, showing how high or low the ground is at a spacing of about 90 meters.

How it's made. Built from radar measurements taken by the Space Shuttle in February 2000, then trimmed to cover just this region and saved as a single map image.

How & where you'd use it. Researchers studying population and land use in Ecuador have used it to understand terrain. More broadly, elevation maps like this help with flood planning, mapping watersheds, and field studies.

What's measured

LAND SURFACE › TOPOGRAPHY › TERRAIN ELEVATION

Coverage & cadence

  • Time span2000-02-11 → 2000-02-22
  • Measured byOV-105 (SRTM)
  • Processing levelLevel 4
  • Spatial extent-78.5342, -2.9812, -75.0361, 0.9499
  • FormatsGeoTIFF
  • 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 provides 90-meter resolution Digital Elevation Model data used in the University of North Carolina's Carolina Population Center (CPC) Ecuador Projects. The topographic data were derived from Shuttle Radar Topography Mission (SRTM) C-band and X-band interferometric synthetic aperture radars (IFSARs) data that were acquired over 80% of Earth's land mass in February 2000. This data set includes one image in GeoTiff format that is a subset for the Northern Ecuadorian Amazon region.

Get the data

lc01_srtm_dem_90m_nec_1083_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="LC01_SRTM_DEM_90m_NEC_1083",
    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.