N: 54 S: -54 E: 180 W: -180
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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 produces high resolution laser ranging observations of the 3-dimensional structure of the Earth. GEDI is attached to the International Space Station (ISS) and collects data globally between 51.6° N and 51.6° S latitudes at the highest resolution and densest sampling of any light detection and ranging (lidar) instrument in orbit to date. Each GEDI Version 2 granule encompasses one-fourth of an ISS orbit and includes georeferenced metadata to allow for spatial querying and subsetting.
The GEDI instrument was removed from the ISS and placed into storage on March 17, 2023. No data were acquired during the hibernation period from March 17, 2023, to April 24, 2024. GEDI has since been reinstalled on the ISS and resumed operations as of April 26, 2024.
The purpose of the GEDI Level 2B Canopy Cover and Vertical Profile Metrics product (GEDI02_B) is to extract biophysical metrics from each GEDI waveform. These metrics are based on the directional gap probability profile derived from the L1B waveform. Metrics provided include canopy cover, Plant Area Index (PAI), Plant Area Volume Density (PAVD), and Foliage Height Diversity (FHD). The GEDI02_B product is provided in HDF5 format and has a spatial resolution (average footprint) of 25 meters.
The GEDI02_B data product contains 96 layers for each of the eight-beam ground transects (or laser footprints located on the land surface). Datasets provided include precise latitude, longitude, elevation, height, canopy cover, and vertical profile metrics. Additional information for the layers can be found in the GEDI Level 2B Data Dictionary.
Known Issues
- Data acquisition gaps: GEDI data acquisitions were suspended on December 19, 2019 (2019 Day 353) and resumed on January 8, 2020 (2020 Day 8).
- Incorrect Reference Ground Track (RGT) number in the filename for select GEDI files: GEDI Science Data Products for six orbits on August 7, 2020, and November 12, 2021, had the incorrect RGT number in the filename. There is no impact to the science data, but users should reference this document for the correct RGT numbers.
- Known Issues: Section 8 of the User Guide provides additional information on known issues.
Version Description
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
Copy Citation
File Naming Convention
The file name begins with the Product Short Name (GEDI02_B), followed by the Julian Date and Time of Acquisition designated as YYYYDDDHHMMSS (2024333221021), the Orbit Number starting with the letter O (O33779), the Sub-Orbit Granule Number (03), Track Number (T07960), the Positioning and Pointing Determination System type where 00 is predict, 01 rapid, 02 and higher is final (02), the Product Generation Executables Version (004), the Granule Production Version (01), the Version Number (V002), and the Data Format (h5).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Evolution of the representation of global vegetation by vegetation continuous fields | DiMiceli, Charlene, Townshend, John, Carroll, Mark, Sohlberg, Robert | Reflectance, Canopy Characteristics, Evergreen Vegetation, Crown, Deciduous Vegetation, Leaf Characteristics, Vegetation Cover, Land Use/Land Cover Classification, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height | |
| Mapping global forest canopy height through integration of GEDI and Landsat data | Potapov, Peter, Li, Xinyuan, Hernandez-Serna, Andres, Tyukavina, Alexandra, Hansen, Matthew C., Kommareddy, Anil, Pickens, Amy, Turubanova, Svetlana, Tang, Hao, Silva, Carlos Edibaldo, Armston, John, Dubayah, Ralph, Blair, J. Bryan, Hofton, Michelle | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| Monitoring key forest structure attributes across the conterminous united states by integrating gedi lidar measurements and VIIRS data | Rishmawi, Khaldoun, Huang, Chengquan, Zhan, Xiwu | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Reflectance, Enhanced Vegetation Index (EVI) | |
| Space lidar for archaeology? Reanalyzing GEDI data for detection of ancient Maya buildings | Kokalj, Ziga, Mast, Johannes | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation | |
| SMOS L-VOD retrieved by Level 2 algorithm and its correlation with GEDI LIDAR products | Vittucci, Cristina, Guerriero, Leila, Ferrazzoli, Paolo, Richaume, Philippe, Kerr, Yann H. | Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height | |
| Scaled biomass estimation in woodland ecosystems: Testing the individual and combined capacities of satellite multispectral and lidar data | Campbell, Michael J., Dennison, Philip E., Kerr, Kelly L., Brewer, Simon C., Anderegg, William R.L. | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation | |
| Quality assessment of acquired gedi waveforms: Case study over france, Tunisia and French Guiana | Fayad, Ibrahim, Baghdadi, Nicolas, Riedi, Jerome | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation | |
| Terrain slope effect on forest height and wood volume estimation from GEDI data | Fayad, Ibrahim, Baghdadi, Nicolas, Alcarde Alvares, Clayton, Stape, Jose Luiz, Bailly, Jean Stephane, Scolforo, Henrique Ferraco, Cegatta, Italo Ramos, Zribi, Mehrez, Le Maire, Guerric | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation | |
| The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions | Fatoyinbo, Temilola, Armston, John, Simard, Marc, Saatchi, Sassan, Denbina, Michael, Lavalle, Marco, Hofton, Michelle, Tang, Hao, Marselis, Suzanne, Pinto, Naiara, Hancock, Steven, Hawkins, Brian, Duncanson, Laura, Blair, Bryan, Hansen, Christy, Lou, Yunling, Dubayah, Ralph, Hensley, Scott, Silva, Carlos, Poulsen, John R., Labriere, Nicolas, Barbier, Nicolas, Jeffery, Kathryn, Kenfack, David, Herve, Memiaghe, Bissiengou, Pulcherie, Alonso, Alfonso, Moussavou, Ghislain, White, Lee T.J., Lewis, Simon, Hibbard, Kathleen | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation | |
| Accuracy assessment of GEDI terrain elevation and canopy height estimates in European temperate forests: Influence of environmental and acquisition parameters | Adam, Markus, Urbazaev, Mikhail, Dubois, Clemence, Schmullius, Christiane | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| Analysis of GEDI elevation data accuracy for inland waterbodies altimetry | Fayad, Ibrahim, Baghdadi, Nicolas, Bailly, Jean Stephane, Frappart, Frederic, Zribi, Mehrez | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation | |
| Evaluating the potential of full-waveform lidar for mapping pan-tropical tree species richness | Marselis, Suzanne M., Abernethy, Katharine, Alonso, Alfonso, Armston, John, Baker, Timothy R., Bastin, JeanFrancois, Bogaert, Jan, Boyd, Doreen S., Boeckx, Pascal, Burslem, David F. R. P., Chazdon, Robin, Clark, David B., Coomes, David, Duncanson, Laura, Hancock, Steven, Hill, Ross, Hopkinson, Chris, Kearsley, Elizabeth, Kellner, James R., Kenfack, David, Labriere, Nicolas, Lewis, Simon L., Minor, David, Memiaghe, Herve, Monteagudo, Abel, Nilus, Reuben, O'Brien, Michael, Phillips, Oliver L., Poulsen, John, Tang, Hao, Verbeeck, Hans, Dubayah, Ralph | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation, Vegetation Species, Forest Composition/Vegetation Structure, Dominant Species, Biomass, Leaf Area Index (LAI), Leaf Area Index (LAI) | |
| Towards mapping the diversity of canopy structure from space with GEDI | Schneider, Fabian D, Ferraz, Antonio, Hancock, Steven, Duncanson, Laura I, Dubayah, Ralph O, Pavlick, Ryan P, Schimel, David S | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| /BEAM0000/rx_processing/rg_eg_niter_a1 | Number of iterations to converge extended Gaussian fit to RX waveform | N/A | uint8 | N/A | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_niter_a2 | Number of iterations to converge extended Gaussian fit to RX waveform | N/A | uint8 | N/A | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_niter_a3 | Number of iterations to converge extended Gaussian fit to RX waveform | N/A | uint8 | N/A | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_niter_a4 | Number of iterations to converge extended Gaussian fit to RX waveform | N/A | uint8 | N/A | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_niter_a5 | Number of iterations to converge extended Gaussian fit to RX waveform | N/A | uint8 | N/A | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_niter_a6 | Number of iterations to converge extended Gaussian fit to RX waveform | N/A | uint8 | N/A | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_a1 | Sigma value of the extended Gaussian fit to the ground of RX waveform. | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_a2 | Sigma value of the extended Gaussian fit to the ground of RX waveform. | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_a3 | Sigma value of the extended Gaussian fit to the ground of RX waveform. | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_a4 | Sigma value of the extended Gaussian fit to the ground of RX waveform. | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_a5 | Sigma value of the extended Gaussian fit to the ground of RX waveform. | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_a6 | Sigma value of the extended Gaussian fit to the ground of RX waveform. | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_error_a1 | Error in rg_eg_sigma | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_error_a2 | Error in rg_eg_sigma | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_error_a3 | Error in rg_eg_sigma | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_error_a4 | Error in rg_eg_sigma | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_error_a5 | Error in rg_eg_sigma | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_sigma_error_a6 | Error in rg_eg_sigma | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_error_a1 | Error of the integral of the ground component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_error_a2 | Error of the integral of the ground component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_error_a3 | Error of the integral of the ground component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_error_a4 | Error of the integral of the ground component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_error_a5 | Error of the integral of the ground component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_error_a6 | Error of the integral of the ground component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rv_a1 | Integral of the vegetation component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rv_a2 | Integral of the vegetation component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rv_a3 | Integral of the vegetation component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rv_a4 | Integral of the vegetation component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rv_a5 | Integral of the vegetation component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rv_a6 | Integral of the vegetation component in the RX waveform for each L2A processing version | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rx_energy_a1 | Received waveform energy between toploc and botloc with noise removed | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rx_energy_a2 | Received waveform energy between toploc and botloc with noise removed | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rx_energy_a3 | Received waveform energy between toploc and botloc with noise removed | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rx_energy_a4 | Received waveform energy between toploc and botloc with noise removed | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rx_energy_a5 | Received waveform energy between toploc and botloc with noise removed | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rx_energy_a6 | Received waveform energy between toploc and botloc with noise removed | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/shot_number | Unique shot ID. | counter | uint64 | N/A | N/A | N/A | N/A |
| /BEAM0000/rx_range_highestreturn | One-way range distance in m between the spacecraft and the top of canopy (defined by toploc) | m | float64 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_sample_count | The number of sample intervals (elements) in each pgap_theta_z waveform. | sample intervals | int64 | N/A | N/A | N/A | N/A |
| /BEAM0000/rx_sample_start_index | The index in the pgap_theta_z dataset of the first element of each waveform. The indices start at 1. | index (origin 1) | int64 | N/A | N/A | N/A | N/A |
| /BEAM0000/selected_l2a_algorithm | ID of algorithm selected as identifying the lowest non-noise mode | N/A | uint8 | N/A | 1 to 6 | N/A | N/A |
| /BEAM0000/selected_mode | ID of mode selected as lowest non-noise mode | N/A | uint8 | N/A | 0 to 20 | N/A | N/A |
| /BEAM0000/selected_mode_flag | Flag indicating status of selected_mode | N/A | uint8 | N/A | 0 to 4 | N/A | N/A |
| /BEAM0000/selected_rg_algorithm | 0 = L2B algorithm not run; 1 = algorithm 1 (successful); 2 = algorithm 1 (partial success - valid tx_eg parameters were unavailable); 3 = algorithm 2 | N/A | uint8 | N/A | N/A | N/A | N/A |
| /BEAM0000/sensitivity | Maxmimum canopy cover that can be penetrated considering the SNR of the waveform | N/A | float32 | N/A | 0 to 1 | N/A | N/A |
| /BEAM0000/shot_number | Unique shot ID. | counter | uint64 | N/A | N/A | N/A | N/A |
| /BEAM0000/stale_return_flag | Indicates that a "stale" cue point from the coarse search algorithm is being used. | boolean | uint8 | N/A | 0 to 1 | N/A | N/A |
| /BEAM0000/surface_flag | Indicates elev_lowestmode is within 300m of DEM or MSS | N/A | uint8 | N/A | 0 to 1 | N/A | N/A |
| /BEAM0001/algorithmrun_flag | The L2B algorithm is run if this flag is set to 1. This flag selects data which have sufficient waveform fidelity for L2B to run. | N/A | uint8 | N/A | 0 to 1 | N/A | N/A |
| /BEAM0001/ancillary/dz | Vertical step size of foliage profile | m | float64 | N/A | N/A | N/A | N/A |