How much plants glow as they photosynthesize, US Midwest 2018
What it measures. Estimates of the faint glow plants give off as they photosynthesize, broken down by crop and vegetation type (corn, soybean, grass, forest) across the US Midwest during the 2018 growing season, at 4-kilometer detail.
How it's made. Calculated by combining satellite glow measurements from the TROPOMI instrument with maps of crop types and a MODIS leaf-coverage product, then modeling the contribution of each vegetation type.
How & where you'd use it. Helps scientists estimate how productive different crops and plants are and detect signs of vegetation stress, such as during drought.
What's measured
Coverage & cadence
- Time span2018-05-02 → 2018-09-23
- Measured byMODELS (Computer) · Sentinel-5P (TROPOMI) · Aura (MODIS)
- Processing levelLevel 3
- Spatial extent-110.021, 34.9792, -77.9792, 49.9375
- FormatsnetCDF-4
- StatusCOMPLETE
What you can do with it
- Map vegetation, forests and biomass
- Monitor ecosystem productivity and carbon
- Support habitat and biodiversity studies
Official description
This dataset provides estimated solar-induced chlorophyll fluorescence (SIF) of specific vegetation types and total SIF under clear-sky and real/cloudy conditions at a resolution of 4 km for the Midwest USA. The estimates are 8-day averaged daily means over the 2018 crop growing season for the time period 2018-05-01 to 2018-09-29. SIF of a specific vegetation type (i.e., corn, soybean, grass/pasture, forest) was expressed as the product of photosynthetically active radiation (PAR), the fraction of photosynthetically active radiation absorbed by the canopy (fPAR), and canopy SIF yield (SIFyield) for each vegetation type. Uncertainty of each variable was also calculated and is provided. These components of the SIF model were derived using a TROPOspheric Monitoring Instrument (TROPOMI) dataset, the USDA National Agricultural Statistics Service Cropland Data Layer, and the MODIS MCD15A2H 8-day 500 m fPAR product. These data could be used to improve estimates of vegetation productivity and vegetation stress.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="SIF_PAR_fPAR_US_Midwest_2018_1813",
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. Official links
- Earthdata Search allows users to search, discover, visualize, refine, and access NASA Earth Observation data. GET DATA
- OpenDAP URL USE SERVICE API
- Collection Bundle URL GET DATA
- ORNL DAAC Data Set Documentation VIEW RELATED INFORMATION
- High Resolution Land Cover-Specific Solar-Induced Fluorescence, Midwestern USA, 2018: SIF_PAR_fPAR_US_Midwest_2018.pdf VIEW RELATED INFORMATION