True surface color of the land (NOAA-21, daily, 500 m-1 km)
What it measures. An estimate of the true color and brightness of the land surface across twelve color bands, after the haze and distortion of the atmosphere have been removed. Resolution ranges from about 500 meters to 1 kilometer per pixel.
How it's made. Produced daily from the NOAA-21 VIIRS sensor by taking the raw light it recorded and correcting it for atmospheric gases, water vapor, and airborne particles.
How & where you'd use it. Serves as a foundational building block feeding many other land products; most people encounter it indirectly through maps of vegetation, land cover, and surface change rather than using it raw.
What's measured
Coverage & cadence
- Time span2023-02-10 → ongoing
- Measured byNOAA-21 (VIIRS)
- Processing levelLevel 2G
- Spatial extent-180, -90, 180, 90
- FormatsHDF-EOS5
- StatusACTIVE
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
The Visible Infrared Imaging Radiometer Suite (VIIRS) daily surface reflectance (VJ209GA) Version 2 product provides an estimate of land surface reflectance from the NOAA-21 VIIRS sensor. Data are provided for three imagery bands (I1-I3) at nominal 500 meter resolution (~463 meter) and nine moderate resolution bands (M1-M5, M7, M8, M10, M11) at nominal 1 kilometer (~926 meter) resolution. The 500 meter and 1 kilometer datasets are derived through resampling the native 375 meter and 750 meter VIIRS resolutions, respectively, in the Level 2 input product. These bands are corrected for atmospheric conditions such as the effects of molecular gases, including ozone and water vapor, and for the effects of atmospheric aerosols. The inputs to the surface reflectance algorithm are top-of-atmosphere reflectance for the VIIRS visible bands, the VIIRS cloud mask and aerosol product, aerosol optical thickness and atmospheric data obtained from the NOAA National Centers for Environmental Prediction (NCEP) reanalysis system. Along with the twelve reflectance bands are reflectance band quality, sensor azimuth angle, solar azimuth angle, sensor zenith angle, solar zenith angle, and observations variables. The reflectance variables from the VJ209GA data product are used as input data for many of the VIIRS land products. Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS&sat=J2).
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="VJ209GA",
version="002",
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 LPCLOUD Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- Earthdata Search allows users to search, discover, visualize, refine, and access NASA Earth Observation data. GET DATA
- The LDOPE Land Product Quality Assessment website provides known issues, maneuvers, and product quality of the land products. VIEW RELATED INFORMATION
- The technical information in the Version 2.0 User's Guide enables users to interpret and use the data products. VIEW RELATED INFORMATION
- The ATBD provides physical theory and mathematical procedures for the calculations used to produce the data products. VIEW RELATED INFORMATION
- Validation at stage 3 has been achieved for the VIIRS surface reflectance product suite. VIEW RELATED INFORMATION
- Further details regarding VIIRS product validation and maturity status are available from VIIRS Land Product Quality Assessment site. VIEW RELATED INFORMATION
- The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers a simple and efficient way to perform data access and transformation processes. GET DATA