How wet the topsoil is (AMSR-E/AMSR2, 25 km)
What it measures. How much moisture is in the top layer of soil, reported in 25 km map squares using two different calculation approaches.
How it's made. Estimated from microwave 'brightness temperature' readings (how a surface looks to the sensor) by the AMSR-E and AMSR2 instruments on the Aqua and GCOM-W1 satellites, with the two sensors carefully matched to work as one.
How & where you'd use it. Supports drought monitoring, farming and water management, weather forecasting, and studies of how land and atmosphere exchange water.
What's measured
Coverage & cadence
- Time span2002-06-01 → 2011-10-04
- Measured byAqua (AMSR-E) · GCOM-W1 (AMSR2)
- Processing levelLevel 2B
- Spatial extent-180, -89.24, 180, 89.24
- FormatsHDF-EOS5
- 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 Level-2B AMSR Unified product contains surface soil moisture at 25 km resolution, estimated from AMSR-E and AMSR2 brightness temperature observations using two different approaches: the Normalized Polarization Difference (NPD) algorithm and the Single Channel Algorithm (SCA). Data are provided in the NSIDC EASE-Grid Global projection. Soil moisture estimates are derived from AMSR-E and AMSR2 data which have been spatially resampled by the Japan Aerospace Exploration Agency (JAXA) to intercalibrate, or “unify,” the two sensors.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="AU_Land",
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. Official links
- 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
- Search data by spatial and/or temporal ranges or file name. Choose from various download options, including a Python script. 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
- AMSR-E/AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture, Version 1 User Guide VIEW RELATED INFORMATION