- Dataset Availability
- 2019-04-18T00:00:00Z–2024-11-28T00:00:00Z
- Dataset Provider
- USFS Laboratory for Applications of Remote Sensing in Ecology (LARSE) NASA GEDI mission, accessed through the USGS LP DAAC
- Tags
Description
This dataset contains Global Ecosystem Dynamics Investigation (GEDI) Level 4A (L4A) Version 2 predictions of the aboveground biomass density (AGBD; in Mg/ha) and estimates of the prediction standard error within each sampled geolocated laser footprint. In this version, the granules are in sub-orbits. Height metrics from simulated waveforms associated with field estimates of AGBD from multiple regions and plant functional types (PFTs) were compiled to generate a calibration dataset for models representing the combinations of world regions and PFTs (i.e., deciduous broadleaf trees, evergreen broadleaf trees, evergreen needleleaf trees, deciduous needleleaf trees, and the combination of grasslands, shrubs, and woodlands).The algorithm setting group selection used for GEDI02_A Version 2 has been modified for evergreen broadleaf trees in South America to reduce false positive errors resulting from the selection of waveform modes above ground elevation as the lowest mode.
Please see User Guide for more information.
The Global Ecosystem Dynamics Investigation GEDI mission aims to characterize ecosystem structure and dynamics to enable radically improved quantification and understanding of the Earth's carbon cycle and biodiversity. The GEDI instrument, attached to the International Space Station (ISS), collects data globally between 51.6° N and 51.6° S latitudes at the highest resolution and densest sampling of the 3-dimensional structure of the Earth. The GEDI instrument consists of three lasers producing a total of eight beam ground transects, which instantaneously sample eight ~25 m footprints spaced approximately every 60 m along-track.
| Product | Description |
|---|---|
| L2A Vector | LARSE/GEDI/GEDI02_A_002 |
| L2A Monthly raster | LARSE/GEDI/GEDI02_A_002_MONTHLY |
| L2A table index | LARSE/GEDI/GEDI02_A_002_INDEX |
| L2B Vector | LARSE/GEDI/GEDI02_B_002 |
| L2B Monthly raster | LARSE/GEDI/GEDI02_B_002_MONTHLY |
| L2B table index | LARSE/GEDI/GEDI02_B_002_INDEX |
| L4A Biomass Vector | LARSE/GEDI/GEDI04_A_002 |
| L4A Monthly raster | LARSE/GEDI/GEDI04_A_002_MONTHLY |
| L4A table index | LARSE/GEDI/GEDI04_A_002_INDEX |
| L4B Biomass | LARSE/GEDI/GEDI04_B_002 |
Table Schema
Table Schema
Predicted aboveground biomass density
Lower prediction interval (see "alpha" attribute for the level)
Upper prediction interval (see "alpha" attribute for the level)
Aboveground biomass density prediction standard error
Model prediction in fit units
Model prediction standard error in fit units (needed for calculation of custom prediction intervals)
The L4A algorithm is run if this flag is set to 1. This flag selects data that have sufficient waveform fidelity for AGBD estimation.
Beam identifier
Channel identifier
Flag indicating degraded state of pointing and/or positioning information
Time since Jan 1 00:00 2018
Elevation of center of lowest mode relative to reference ellipsoid
Flag identifying the most useful L2 data for biomass predictions
Flag simplifying selection of most useful biomass predictions
Latitude of center of lowest mode
Longitude of center of lowest mode
Master time, fractional part. master_int+master_frac is equivalent to /BEAMXXXX/delta_time
Master time, integer part. Seconds since master_time_epoch. master_int+master_frac is equivalent to /BEAMXXXX/delta_time',
Prediction stratum identifier. Character ID of the prediction stratum name for the 1 km cell
Predictor value is outside the bounds of the training data (0=in bounds; 1=lower bound; 2=upper bound)
Prediction value is outside the bounds of the training data (0=in bounds; 1=lower bound; 2=upper bound)
Selected algorithm setting group
ID of mode selected as lowest non-noise mode
Flag indicating status of selected_mode
Beam sensitivity. Maximum canopy cover that can be penetrated considering the SNR of the waveform
Solar elevation angle
Indicates elev_lowestmode is within 300m of Digital Elevation Model (DEM) or Mean Sea Surface (MSS) elevation
Shot number, a unique identifier. This field has the format of OOOOOBBRRGNNNNNNNN, where:
- OOOOO: Orbit number
- BB: Beam number
- RR: Reserved for future use
- G: Sub-orbit granule number
- NNNNNNNN: Shot index
Shot number within beam
Above ground biomass density; Geolocation latitude lowestmode
Above ground biomass density lower prediction interval
Above ground biomass density upper prediction interval
Aboveground biomass density prediction standard error
Aboveground biomass density model prediction in transform space
Lower prediction interval in transform space
Upper prediction interval in transform space
Model prediction standard error in fit units
Algorithm run flag-this algorithm is run if this flag is set to 1. This flag selects data that have sufficient waveform fidelity for AGBD estimation
Flag identifying the most useful L2 data for biomass predictions'
Flag simplifying selection of most useful biomass predictions
Predictor value is outside the bounds of the training data
Prediction value is outside the bounds of the training data
ID of mode selected as lowest non-noise mode
Flag indicating status of selected mode
Elevation of center of lowest mode relative to the reference ellipsoid
Latitude of center of lowest mode
Longitude of center of lowest mode
Maximum canopy cover that can be penetrated considering the SNR of the waveform
Flag from digitizer indicating the real-time pulse detection algorithm did not detect a return signal above its detection threshold within the entire 10 km search window. The pulse location of the previous shot was used to select the telemetered waveform.
Tree cover in the year 2010, defined as canopy closure for all vegetation taller than 5 m in height (Hansen et al., 2013) and encoded as a percentage per output grid cell.
The percent UMD GLAD Landsat observations with classified surface water between 2018 and 2019. Values >80 usually represent permanent water while values <10 represent permanent land.
GEDI 1 km EASE 2.0 grid leaf-off start day-of-year derived from the NPP VIIRS Global Land Surface Phenology Product.
GEDI 1 km EASE 2.0 grid flag derived from leaf_off_doy, leaf_on_doy, and pft_class, indicating if the observation was recorded during leaf-off conditions in deciduous needleleaf or broadleaf forests and woodlands. 1=leaf-off, 0=leaf-on.
Flag that indicates the vegetation growing cycle for leaf-on observations. Values are 0=leaf-off conditions, 1=cycle 1, 2=cycle 2.
GEDI 1 km EASE 2.0 grid leaf-on start day- of-year derived from the NPP VIIRS Global Land Surface Phenology product.
GEDI 1 km EASE 2.0 grid Plant Functional Type (PFT) derived from the MODIS MCD12Q1v006 product. Values follow the Land Cover Type 5 Classification scheme.
GEDI 1 km EASE 2.0 grid world continental regions (0=Water, 1=Europe, 2=North Asia, 3=Australasia, 4=Africa, 5=South Asia, 6=South America, 7=North America).
The focal window size used to calculate urban_proportion. Values are 3 (3x3 pixel window size) or 5 (5x5 pixel window size).
The percentage proportion of land area within a focal area surrounding each shot that is urban land cover. Urban land cover was derived from the DLR 12 m resolution TanDEM-X Global Urban Footprint Product.
Terms of Use
Terms of Use
This dataset is in the public domain and is available without restriction on use and distribution. See NASA's Earth Science Data & Information Policy for additional information.
Citations
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GEDI L4A Footprint Level Aboveground Biomass Density, Version 2.1. Dubayah, R.O., J. Armston, J.R. Kellner, L. Duncanson, S.P. Healey, P.L. Patterson, S. Hancock, H. Tang, J. Bruening, M.A. Hofton, J.B. Blair, and S.B. Luthcke. 2022. ORNL DAAC, Oak Ridge, Tennessee, USA. doi:10.3334/ORNLDAAC/2056
DOIs
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee . FeatureCollection ( 'LARSE/GEDI/GEDI04_A_002/GEDI04_A_2022157233128_O19728_03_T11129_02_003_01_V002' ); Map . setCenter ( - 94.77616 , 38.9587 , 14 ); Map . addLayer ( dataset );
