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 |
|---|---|---|---|
| Spaceborne LiDAR for characterizing forest structure across scales in the European Alps | Mandl, Lisa, Stritih, Ana, Seidl, Rupert, Ginzler, Christian, Senf, Cornelius | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| Spaceborne LiDAR reveals the effectiveness of European Protected Areas in conserving forest height and vertical structure | Ceccherini, Guido, Girardello, Marco, Beck, Pieter S. A., Migliavacca, Mirco, Duveiller, Gregory, Dubois, Gregoire, Avitabile, Valerio, Battistella, Luca, Barredo, Jose I., Cescatti, Alessandro | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| Spatial database of planted forests in East Asia | Abbasi, Akane O., Tang, Xiaolu, Harris, Nancy L., Goldman, Elizabeth D., Gamarra, Javier G. P., Herold, Martin, Kim, Hyun Seok, Luo, Weixue, Silva, Carlos Alberto, Tchebakova, Nadezhda M., Mitra, Ankita, Finegold, Yelena, Jahanshahi, Mohammad Reza, Alvarez, Cesar Ivan, Kim, Tae Kyung, Ryu, Daun, Liang, Jingjing | Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height | |
| Two decades of land cover change and forest fragmentation in Liberia: Consequences for the contribution of nature to people | de Sousa, Celio, Fatoyinbo, Lola, Honzak, Miroslav, Wright, Timothy Max, Murillo Sandoval, Paulo Jose, Whapoe, Zargou Elijah, Yonmah, Jerry, Olatunji, Emmanuel Temitope, Garteh, Jerry, Stovall, Atticus, Neigh, Christopher S. R., Portela, Rosimeiry, Gaddis, Keith D., Larsen, Trond, Juhn, Daniel | Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height | |
| Structural and species diversity explain aboveground carbon storage in forests across the United States: Evidence from GEDI and forest inventory data | Crockett, Erin T.H., Atkins, Jeff W., Guo, Qinfeng, Sun, Ge, Potter, Kevin M., Ollinger, Scott, Silva, Carlos A., Tang, Hao, Woodall, Christopher W., Holgerson, Justin, Xiao, Jingfeng | Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height | |
| The effectiveness of global protected areas for climate change mitigation | Duncanson, L., Liang, M., Leitold, V., Armston, J., Krishna Moorthy, S. M., Dubayah, R., Costedoat, S., Enquist, B. J., Fatoyinbo, L., Goetz, S. J., Gonzalez-Roglich, M., Merow, C., Roehrdanz, P. R., Tabor, K., Zvoleff, A. | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests | Guerra-Hernandez, Juan, Narine, Lana L., Pascual, Adrian, Gonzalez-Ferreiro, Eduardo, Botequim, Brigite, Malambo, Lonesome, Neuenschwander, Amy, Popescu, Sorin C., Godinho, Sergio | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| Assessment of terrain elevation estimates from ICESat-2 and GEDI spaceborne LiDAR missions across different land cover and forest types | Urbazaev, Mikhail, Hess, Laura L., Hancock, Steven, Sato, Luciane Yumie, Ometto, Jean Pierre, Thiel, Christian, Dubois, Clemence, Heckel, Kai, Urban, Marcel, Adam, Markus, Schmullius, Christiane | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation | |
| Integration of VIIRS Observations with GEDI-Lidar Measurements to | Rishmawi, Khaldoun, Huang, Chengquan, Schleeweis, Karen, Zhan, Xiwu | Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height, LIDAR WAVEFORM | |
| Fuel Break Monitoring with Sentinel-2 Imagery and GEDI Validation | Pereira-Pires, Joao E., Aubard, Valentine, Baldassarre, G., Fonseca, Jose M., Silva, Joao M. N., Mora, Andre | Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height | |
| Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass in heterogenous landscapes | Mahoney, Michael J, Johnson, Lucas K, Bevilacqua, Eddie, Beier, Colin M | Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height | |
| Factors affecting relative height and ground elevation estimations of GEDI among forest types across the conterminous USA | Wang, Cangjiao, Elmore, Andrew J., Numata, Izaya, Cochrane, Mark A., Shaogang, Lei, Huang, Jiu, Zhao, Yibo, Li, Yuanyuan | Topography, Canopy Characteristics, Digital Elevation/Terrain Model (DEM), Lidar, LIDAR WAVEFORM, Vegetation Cover, VIEWING GEOMETRY, Terrain Elevation, Vegetation Height | |
| Global evaluation of the Ecosystem Demography model (ED v3. 0) | Ma, Lei, Hurtt, George, Ott, Lesley, Sahajpal, Ritvik, Fisk, Justin, Lamb, Rachel, Tang, Hao, Flanagan, Steve, Chini, Louise, Chatterjee, Abhishek, Sullivan, Joseph | Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Carbonaceous Aerosols, Nitrogen Oxides, Particulates, Hydrogen Cyanide, Emissions, Non-methane Hydrocarbons/Volatile Organic Compounds, Particulate Matter, Fire Occurrence, Nitrogen Oxides, Sulfur Dioxide, Carbon And Hydrocarbon Compounds, Carbon, Cation Exchange Capacity, Organic Matter | |
| Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data | Leite, Rodrigo Vieira, Silva, Carlos Alberto, Broadbent, Eben North, Amaral, Cibele Hummel do, Liesenberg, Veraldo, Almeida, Danilo Roberti Alves de, Mohan, Midhun, Godinho, Sergio, Cardil, Adrian, Hamamura, Caio, Faria, Bruno Lopes de, Brancalion, Pedro H.S., Hirsch, Andre, Marcatti, Gustavo Eduardo, Dalla Corte, Ana Paula, Zambrano, Angelica Maria Almeyda, Costa, Maira Beatriz Teixeira da, Matricardi, Eraldo Aparecido Trondoli, Silva, Anne Laura da, Goya, Lucas Ruggeri Re Y., Valbuena, Ruben, Mendonca, Bruno Araujo Furtado de, Silva Junior, Celso H.L., Aragao, Luiz E.O.C., Garcia, Mariano, Liang, Jingjing, Merrick, Trina, Hudak, Andrew T., Xiao, Jingfeng, Hancock, Steven, Duncason, Laura, Ferreira, Matheus Pinheiro, Valle, Denis, Saatchi, Sassan, Klauberg, Carine | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| Spaceborne LiDAR and animal-environment relationships: An assessment for forest carnivores and their prey in the Greater Yellowstone Ecosystem | Smith, Austin B., Vogeler, Jody C., Bjornlie, Nichole L., Squires, John R., Swayze, Neal C., Holbrook, Joseph D. | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| The use of GEDI canopy structure for explaining variation in tree | Marselis, Suzanne M, Keil, Petr, Chase, Jonathan M, Dubayah, Ralph | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| Assessing the utility of sentinel-1 coherence time series for temperate and tropical forest mapping | Borlaf-Mena, Ignacio, Badea, Ovidiu, Tanase, Mihai Andrei | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Lidar, Topography, Vegetation Height | |
| Assessment of GEDI's LiDAR data for the estimation of canopy heights and wood volume of eucalyptus plantations in Brazil | Fayad, Ibrahim, Baghdadi, Nicolas N., Alvares, Clayton Alcarde, Stape, Jose Luiz, Bailly, Jean Stephane, Scolforo, Henrique Ferraco, Zribi, Mehrez, Maire, Guerric Le | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation | |
| Assessing the accuracy of GEDI data for canopy height and aboveground biomass estimates in mediterranean forests | Dorado-Roda, Ivan, Pascual, Adrian, Godinho, Sergio, Silva, Carlos, Botequim, Brigite, Rodriguez-Gonzalvez, Pablo, Gonzalez-Ferreiro, Eduardo, Guerra-Hernandez, Juan | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| Inland water level measurement from spaceborne laser altimetry: Validation and comparison of three missions over the Great Lakes and lower Mississippi River | Xiang, Jin, Li, Hui, Zhao, Jiayang, Cai, Xiaobin, Li, Peng | Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height | |
| Fuel Break Vegetation Monitoring with Sentinel-2 NDVI Robust to Phenology and Environmental Conditions | Pereira-Pires, Joao E., Aubard, Valentine, Ribeiro, Rita A., Fonseca, Jose M., Silva, Joao M. N., Mora, Andre | Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height | |
| Fusing Sentinel-1 and-2 to model GEDI-derived vegetation structure characteristics in GEE for the Paraguayan Chaco | Kacic, Patrick, Hirner, Andreas, Da Ponte, Emmanuel | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation | |
| GEDI elevation accuracy assessment: A case study of southwest Spain | Quiros, Elia, Polo, Maria-Eugenia, Fragoso-Campon, Laura | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), LIDAR WAVEFORM, VIEWING GEOMETRY, Terrain Elevation | |
| Improved estimation of forest stand volume by the integration of GEDI LiDAR data and multi-sensor imagery in the Changbai Mountains Mixed forests Ecoregion (CMMFE), northeast China | Chen, Lin, Ren, Chunying, Zhang, Bai, Wang, Zongming, Liu, Mingyue, Man, Weidong, Liu, Jiafu | Canopy Characteristics, Vegetation Cover, Digital Elevation/Terrain Model (DEM), VIEWING GEOMETRY, Terrain Elevation, Lidar, Topography, Vegetation Height | |
| Determination of structural characteristics of oldgrowth forest in ukraine using spaceborne lidar | Spracklen, Ben, Spracklen, Dominick V. | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Digital Elevation/Terrain Model (DEM), 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_a5 | 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_a6 | 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_eg_amplitude_a1 | Amplitude of the extended Gaussian fit to the ground of RX waveform. | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_a2 | Amplitude of the extended Gaussian fit to the ground of RX waveform. | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_a3 | Amplitude of the extended Gaussian fit to the ground of RX waveform. | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_a4 | Amplitude of the extended Gaussian fit to the ground of RX waveform. | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_a5 | Amplitude of the extended Gaussian fit to the ground of RX waveform. | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_a6 | Amplitude of the extended Gaussian fit to the ground of RX waveform. | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_error_a1 | Error in rg_eg_amplitude | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_error_a2 | Error in rg_eg_amplitude | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_error_a3 | Error in rg_eg_amplitude | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_error_a4 | Error in rg_eg_amplitude | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_error_a5 | Error in rg_eg_amplitude | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_amplitude_error_a6 | Error in rg_eg_amplitude | counts | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_center_a1 | Center 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_center_a2 | Center 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_center_a3 | Center 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_center_a4 | Center 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_center_a5 | Center 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_center_a6 | Center 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_center_error_a1 | Error in rg_eg_center | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_center_error_a2 | Error in rg_eg_center | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_center_error_a3 | Error in rg_eg_center | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_center_error_a4 | Error in rg_eg_center | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_center_error_a5 | Error in rg_eg_center | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_center_error_a6 | Error in rg_eg_center | ns | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_chisq_a1 | Chi square of R (ground) fit | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_chisq_a2 | Chi square of R (ground) fit | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_chisq_a3 | Chi square of R (ground) fit | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_chisq_a4 | Chi square of R (ground) fit | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_chisq_a5 | Chi square of R (ground) fit | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_chisq_a6 | Chi square of R (ground) fit | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_flag_a1 | Extended Gaussian fit status flag. 1=convergence in chi2 value, 2=convergence in parameter value, 3=convergence in chi2 and parameter values, 4=convergence in orthogonality, 5=maximum number of iterations reached, 6=ftol too small (no further improvement), 7=xtol too small (no further improvement), 8=gtol too small (no further improvement). | N/A | int8 | N/A | 0 to -1 | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_flag_a2 | Extended Gaussian fit status flag. 1=convergence in chi2 value, 2=convergence in parameter value, 3=convergence in chi2 and parameter values, 4=convergence in orthogonality, 5=maximum number of iterations reached, 6=ftol too small (no further improvement), 7=xtol too small (no further improvement), 8=gtol too small (no further improvement). | N/A | int8 | N/A | 0 to -1 | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_flag_a3 | Extended Gaussian fit status flag. 1=convergence in chi2 value, 2=convergence in parameter value, 3=convergence in chi2 and parameter values, 4=convergence in orthogonality, 5=maximum number of iterations reached, 6=ftol too small (no further improvement), 7=xtol too small (no further improvement), 8=gtol too small (no further improvement). | N/A | int8 | N/A | 0 to -1 | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_flag_a4 | Extended Gaussian fit status flag. 1=convergence in chi2 value, 2=convergence in parameter value, 3=convergence in chi2 and parameter values, 4=convergence in orthogonality, 5=maximum number of iterations reached, 6=ftol too small (no further improvement), 7=xtol too small (no further improvement), 8=gtol too small (no further improvement). | N/A | int8 | N/A | 0 to -1 | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_flag_a5 | Extended Gaussian fit status flag. 1=convergence in chi2 value, 2=convergence in parameter value, 3=convergence in chi2 and parameter values, 4=convergence in orthogonality, 5=maximum number of iterations reached, 6=ftol too small (no further improvement), 7=xtol too small (no further improvement), 8=gtol too small (no further improvement). | N/A | int8 | N/A | 0 to -1 | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_flag_a6 | Extended Gaussian fit status flag. 1=convergence in chi2 value, 2=convergence in parameter value, 3=convergence in chi2 and parameter values, 4=convergence in orthogonality, 5=maximum number of iterations reached, 6=ftol too small (no further improvement), 7=xtol too small (no further improvement), 8=gtol too small (no further improvement). | N/A | int8 | N/A | 0 to -1 | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_a1 | Gamma value of the extended Gaussian fit to the ground of RX waveform. | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_a2 | Gamma value of the extended Gaussian fit to the ground of RX waveform. | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_a3 | Gamma value of the extended Gaussian fit to the ground of RX waveform. | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_a4 | Gamma value of the extended Gaussian fit to the ground of RX waveform. | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_a5 | Gamma value of the extended Gaussian fit to the ground of RX waveform. | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_a6 | Gamma value of the extended Gaussian fit to the ground of RX waveform. | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_error_a1 | Error in rg_eg_gamma | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_error_a2 | Error in rg_eg_gamma | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_error_a3 | Error in rg_eg_gamma | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_error_a4 | Error in rg_eg_gamma | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_error_a5 | Error in rg_eg_gamma | N/A | float32 | -9999 | N/A | N/A | N/A |
| /BEAM0000/rx_processing/rg_eg_gamma_error_a6 | Error in rg_eg_gamma | N/A | float32 | -9999 | N/A | N/A | N/A |