Heights of lakes and rivers from a laser (ICESat-2)
What it measures. The average height of the water surface for stretches of inland lakes and rivers, along with how much that height varied and a measure of how the laser light faded in the water.
How it's made. Calculated from the ICESat-2 satellite's laser altimeter measurements, by averaging along each water-body transect; it builds on the satellite's along-track inland water product.
How & where you'd use it. Lets researchers monitor lake and river levels and how they change over time, useful for water-resource and hydrology studies.
What's measured
Coverage & cadence
- Time span2018-10-14 → ongoing
- Measured byICESat-2 (ATLAS)
- Processing levelLevel 3
- Spatial extent-180, -88, 180, 88
- FormatsHDF5
- StatusACTIVE
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
ATL22 includes the per-beam mean surface water height, mean surface height standard deviation, and mean ATLAS 532 nm attenuation coefficient over a water body transect, reported at the center of the beam transect. Additional parameters include the beginning and end of the transect, transect length, and center of transect. ATL22 is derived from ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data (ATL13).
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="ATL22",
version="004",
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. Official links
- Search data by spatial and/or temporal ranges or file name. Choose from various download options, including a Python script. GET DATA
- Search and order NASA Earth Science data using spatial and temporal filters. Reformatting, reprojecting, and subsetting options are available for some data sets. GET DATA
- Quickly download a few files using a web browser, or access data through a command-line utility such as WGET. GET DATA
- A Python library to search and access NASA Earth science data with just a few lines of code GET DATA
- Find more data access options and help resources. VIEW RELATED INFORMATION
- ATLAS/ICESat-2 L3B Mean Inland Surface Water Data, Version 4 User Guide VIEW RELATED INFORMATION
- Algorithm Theoretical Basis Document (ATBD for ATL22 | V4) VIEW RELATED INFORMATION
- ATL22 Known Issues (V4) VIEW RELATED INFORMATION