Full catalog/MIL2ASLS
MIL2ASLS·v003·dataset

What the land surface reflects and looks like (MISR)

MISR Level 2 Surface parameters V003
biosphere NASA LARC_CLOUD Level 2 active netCDF-4
In plain English

What it measures. A range of measurements of how the land surface reflects sunlight, including its overall brightness (albedo) and how reflection changes with viewing and sun angle, plus how much sunlight plants absorb and a measure of how much leaf cover is present.

How it's made. Derived from the multi-angle MISR instrument on Terra, calculated for areas where the companion aerosol product gave a valid result, using corrected reflectance and auxiliary model data.

How & where you'd use it. Helps researchers study vegetation health and structure, how much light plants use for growth, and how the land surface interacts with sunlight, feeding into climate and ecosystem studies.

What's measured

BIOSPHERE › VEGETATION › CANOPY CHARACTERISTICSBIOSPHERE › VEGETATION › PHOTOSYNTHETICALLY ACTIVE RADIATIONBIOSPHERE › VEGETATION › PLANT CHARACTERISTICSBIOSPHERE › VEGETATION › VEGETATION COVERLAND SURFACE › LAND USE/LAND COVER › LAND USE CLASSESLAND SURFACE › LAND USE/LAND COVER › LAND USE/LAND COVER CLASSIFICATIONLAND SURFACE › SURFACE RADIATIVE PROPERTIES › REFLECTANCE

Coverage & cadence

  • Time span2000-03-01 → ongoing
  • Measured byTerra (MISR)
  • Processing levelLevel 2
  • Spatial extent-180, -90, 180, 90
  • FormatsnetCDF-4
  • StatusACTIVE

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

MIL2ASLS_3 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 2 Land Surface parameters version 3 data product. It contains a variety of information on the Earth's surface, such as hemispherical directional reflectance factor (HDRF), bihemispheric reflectance (BHR) (i.e., albedo), bidirectional reflectance factor (BRF), directional hemispherical reflectance (DHR), BRF model parameters, Fractional absorbed Photosynthetically Active Radiation (FPAR), and terrain-referenced view and illumination angles. A surface retrieval is conducted on regions where valid land aerosol retrieval exists. The retrieval uses the corrected equivalent reflectances, retrieved aerosol parameters, and auxiliary information from the Simulated MISR Ancillary Radiative Transfer (SMART) dataset. The spectral and Photosynthetically Active spectral Region (PAR)-integrated BHR and DHR are retrieved, along with the spectral land HDRF and BRF and BRF model parameters, for all valid land and inland water subregions. Subregion surface classification leaf area index (LAI) and regional FPAR are also determined. Subregion variability is also calculated for land regions. Data collection for this product is ongoing. This collection contains the Leaf Area Index (LAI). The entire mission has been reprocessed to version 3. The revision to the aerosol and land surface products includes both product format and significant algorithm changes, which impact the quality and performance of both aerosol and land surface retrievals. The MISR instrument consists of nine push-broom cameras that measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four forward, and four aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm. MISR is designed to view Earth with cameras in 9 different directions. As the instrument flies overhead, all nine cameras successfully imaged each piece of Earth's surface below in 4 wavelengths (blue, green, red, and near-infrared). MISR aims to improve our understanding of the effects of sunlight on Earth and distinguish different types of clouds, particles, and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure.

Get the data

mil2asls_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="MIL2ASLS",
    version="003",
    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 LARC_CLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.