- Dataset Availability
- 2019-03-25T00:00:00Z–2024-11-01T08:00:00Z
- Dataset Provider
- Rasterization: Google and USFS Laboratory for Applications of Remote Sensing in Ecology (LARSE) NASA GEDI mission, accessed through the USGS LP DAAC
- Tags
Description
GEDI's Level 2A Geolocated Elevation and Height Metrics Product (GEDI02_A) is primarily composed of 100 Relative Height (RH) metrics, which collectively describe the waveform collected by GEDI.
The original GEDI02_A product is a table of point with a spatial resolution (average footprint) of 25 meters. The dataset LARSE/GEDI/GEDI02_A_002_MONTHLY is a raster version of the original GEDI02_A product. The raster images are organized as monthly composites of individual orbits in the corresponding month. Only root-level RH values and their associated quality flags and metadata are preserved as raster bands. Each GEDI02_A_002 raster has 136 bands.
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 |
Bands
Pixel Size 25 meters
Bands
beam
Beam identifier
degrade_flag
Flag indicating degraded state of pointing and/or positioning information.
- 3X - ADF CHU solution unavailable (ST-2)
- 4X - Platform attitude
- 5X - Poor solution (filter covariance large)
- 6X - Data outage (platform attitude gap also)
- 7X - ST 1+2 unavailable (similar boresight FOV)
- 8X - ST 1+2+3 unavailable
- 9X - ST 1+2+3 and ISS unavailable
- X1 - Maneuver
- X2 - GPS data gap
- X3 - ST blinding
- X4 - Other
- X5 - GPS receiver clock drift
- X6 - Maneuver & GPS receiver clock drift
- X7 - GPS data gap & GPS receiver clock drift
- X8 - ST blinding & GPS receiver clock drift
- X9 - Other & GPS receiver clock drift
delta_time
Time delta since Jan 1 00:00 2018
digital_elevation_model
TanDEM-X elevation at GEDI footprint location
digital_elevation_model_srtm
SRTM elevation at GEDI footprint location
elev_highestreturn
Elevation of highest detected return relative to reference ellipsoid
elev_lowestmode
Elevation of center of lowest mode relative to reference ellipsoid
elevation_bias_flag
Elevations potentially affected by 4bin (~60 cm) ranging error
energy_total
Integrated counts in the return waveform relative to the mean noise level
landsat_treecover
Tree cover in the year 2010, defined as canopy closure for all vegetation taller than 5 m in height as a percentage per output grid cell
landsat_water_persistence
Percent UMD GLAD Landsat observations with classified surface water
lat_highestreturn
Latitude of highest detected return
leaf_off_doy
GEDI 1 km EASE 2.0 grid leaf-off start day-of-year
leaf_off_flag
GEDI 1 km EASE 2.0 grid flag
leaf_on_cycle
Flag that indicates the vegetation growing cycle for leaf-on observations
leaf_on_doy
GEDI 1 km EASE 2.0 grid leaf-on start day-of-year
lon_highestreturn
Longitude of highest detected return
modis_nonvegetated
Percent non-vegetated from MODIS MOD44B V6 data
modis_nonvegetated_sd
Percent non-vegetated standard deviation from MODIS MOD44B V6 data
modis_treecover
Percent tree cover from MODIS MOD44B V6 data
modis_treecover_sd
Percent tree cover standard deviation from MODIS MOD44B V6 data
num_detectedmodes
Number of detected modes in rxwaveform
pft_class
GEDI 1 km EASE 2.0 grid Plant Functional Type (PFT)
quality_flag
Flag indicating likely invalid waveform (1=valid, 0=invalid)
region_class
GEDI 1 km EASE 2.0 grid world continental regions
selected_algorithm
Identifier of algorithm selected as identifying the lowest non-noise mode
selected_mode
Identifier of mode selected as lowest non-noise mode
selected_mode_flag
Flag indicating status of selected_mode
sensitivity
Maxmimum canopy cover that can be penetrated. Valid range is [0, 1]. Values outside of this range may be present but must be ignored. They represent noise and non-land surface waveforms.
solar_azimuth
The azimuth of the sun position vector from the laser bounce point position in the local ENU frame. The angle is measured from North and is positive towards East.
solar_elevation
The elevation of the sun position vector from the laser bounce point position in the local ENU frame. The angle is measured from the East-North plane and is positive Up.
surface_flag
Indicates elev_lowestmode is within 300m of Digital Elevation Model (DEM) or Mean Sea Surface (MSS) elevation
urban_focal_window_size
The focal window size used to calculate urban_proportion. Values are 3 (3x3 pixel window size) or 5 (5x5 pixel window size).
urban_proportion
The percentage proportion of land area within a focal area surrounding each shot that is urban land cover.
orbit_number
Orbit number
minor_frame_number
Minor frame number 0-241()
shot_number_within_beam
Shot number within beam
local_beam_azimuth
Azimuth in radians of the unit pointing vector for the laser in the local ENU frame. The angle is measured from North and positive towards East.
local_beam_elevation
Elevation in radians of the unit pointing vector for the laser in the local ENU frame. The angle is measured from North and positive towards East.
rh0
Relative height metrics at 0%
rh1
Relative height metrics at 1%
rh2
Relative height metrics at 2%
rh3
Relative height metrics at 3%
rh4
Relative height metrics at 4%
rh5
Relative height metrics at 5%
rh6
Relative height metrics at 6%
rh7
Relative height metrics at 7%
rh8
Relative height metrics at 8%
rh9
Relative height metrics at 9%
rh10
Relative height metrics at 10%
rh11
Relative height metrics at 11%
rh12
Relative height metrics at 12%
rh13
Relative height metrics at 13%
rh14
Relative height metrics at 14%
rh15
Relative height metrics at 15%
rh16
Relative height metrics at 16%
rh17
Relative height metrics at 17%
rh18
Relative height metrics at 18%
rh19
Relative height metrics at 19%
rh20
Relative height metrics at 20%
rh21
Relative height metrics at 21%
rh22
Relative height metrics at 22%
rh23
Relative height metrics at 23%
rh24
Relative height metrics at 24%
rh25
Relative height metrics at 25%
rh26
Relative height metrics at 26%
rh27
Relative height metrics at 27%
rh28
Relative height metrics at 28%
rh29
Relative height metrics at 29%
rh30
Relative height metrics at 30%
rh31
Relative height metrics at 31%
rh32
Relative height metrics at 32%
rh33
Relative height metrics at 33%
rh34
Relative height metrics at 34%
rh35
Relative height metrics at 35%
rh36
Relative height metrics at 36%
rh37
Relative height metrics at 37%
rh38
Relative height metrics at 38%
rh39
Relative height metrics at 39%
rh40
Relative height metrics at 40%
rh41
Relative height metrics at 41%
rh42
Relative height metrics at 42%
rh43
Relative height metrics at 43%
rh44
Relative height metrics at 44%
rh45
Relative height metrics at 45%
rh46
Relative height metrics at 46%
rh47
Relative height metrics at 47%
rh48
Relative height metrics at 48%
rh49
Relative height metrics at 49%
rh50
Relative height metrics at 50%
rh51
Relative height metrics at 51%
rh52
Relative height metrics at 52%
rh53
Relative height metrics at 53%
rh54
Relative height metrics at 54%
rh55
Relative height metrics at 55%
rh56
Relative height metrics at 56%
rh57
Relative height metrics at 57%
rh58
Relative height metrics at 58%
rh59
Relative height metrics at 59%
rh60
Relative height metrics at 60%
rh61
Relative height metrics at 61%
rh62
Relative height metrics at 62%
rh63
Relative height metrics at 63%
rh64
Relative height metrics at 64%
rh65
Relative height metrics at 65%
rh66
Relative height metrics at 66%
rh67
Relative height metrics at 67%
rh68
Relative height metrics at 68%
rh69
Relative height metrics at 69%
rh70
Relative height metrics at 70%
rh71
Relative height metrics at 71%
rh72
Relative height metrics at 72%
rh73
Relative height metrics at 73%
rh74
Relative height metrics at 74%
rh75
Relative height metrics at 75%
rh76
Relative height metrics at 76%
rh77
Relative height metrics at 77%
rh78
Relative height metrics at 78%
rh79
Relative height metrics at 79%
rh80
Relative height metrics at 80%
rh81
Relative height metrics at 81%
rh82
Relative height metrics at 82%
rh83
Relative height metrics at 83%
rh84
Relative height metrics at 84%
rh85
Relative height metrics at 85%
rh86
Relative height metrics at 86%
rh87
Relative height metrics at 87%
rh88
Relative height metrics at 88%
rh89
Relative height metrics at 89%
rh90
Relative height metrics at 90%
rh91
Relative height metrics at 91%
rh92
Relative height metrics at 92%
rh93
Relative height metrics at 93%
rh94
Relative height metrics at 94%
rh95
Relative height metrics at 95%
rh96
Relative height metrics at 96%
rh97
Relative height metrics at 97%
rh98
Relative height metrics at 98%
rh99
Relative height metrics at 99%
rh100
Relative height metrics at 100%
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.
Explore with Earth Engine
Code Editor (JavaScript)
var qualityMask = function ( im ) { return im . updateMask ( im . select ( 'quality_flag' ). eq ( 1 )) . updateMask ( im . select ( 'degrade_flag' ). eq ( 0 )); }; var dataset = ee . ImageCollection ( 'LARSE/GEDI/GEDI02_A_002_MONTHLY' ) . map ( qualityMask ) . select ( 'rh98' ); var gediVis = { min : 1 , max : 60 , palette : 'darkred,red,orange,green,darkgreen' , }; Map . setCenter ( - 74.803466 , - 9.342209 , 10 ); Map . addLayer ( dataset , gediVis , 'rh98' );
