GEDI L2A Raster Canopy Top Height (Version 2)

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LARSE/GEDI/GEDI02_A_002_MONTHLY
Dataset Availability
2019-03-25T00:00:00Z–2022-04-01T08:00:00
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("LARSE/GEDI/GEDI02_A_002_MONTHLY")
Tags
elevation gedi larse nasa treecover usgs

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.

Product Description
GEDI L2A Vector LARSE/GEDI/GEDI02_A_002
GEDI L2A Monthly raster LARSE/GEDI/GEDI02_A_002_MONTHLY
GEDI L2A table index LARSE/GEDI/GEDI02_A_002_INDEX
GEDI L2B Vector LARSE/GEDI/GEDI02_B_002
GEDI L2B Monthly raster LARSE/GEDI/GEDI02_B_002_MONTHLY
GEDI L2B table index LARSE/GEDI/GEDI02_B_002_INDEX
GEDI L4B Biomass LARSE/GEDI/GEDI04_B_002

Bands

Resolution
25 meters

Bands

Name Units Min Max Description
beam 0 12

Beam identifier

degrade_flag 0 99

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 Seconds

Time delta since Jan 1 00:00 2018

digital_elevation_model m

TanDEM-X elevation at GEDI footprint location

digital_elevation_model_srtm m

STRM elevation at GEDI footprint location

elev_highestreturn m -1000 25000

Elevation of highest detected return relative to reference ellipsoid

elev_lowestmode m -1000 25000

Elevation of center of lowest mode relative to reference ellipsoid

elevation_bias_flag 0 1

Elevations potentially affected by 4bin (~60 cm) ranging error

energy_total -5000 5e+06

Integrated counts in the return waveform relative to the mean noise level

landsat_treecover Percent

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 0 100

Percent UMD GLAD Landsat observations with classified surface water

lat_highestreturn Degree -55 55

Latitude of highest detected return

leaf_off_doy 1 365

GEDI 1 km EASE 2.0 grid leaf-off start day-of-year

leaf_off_flag 0 1

GEDI 1 km EASE 2.0 grid flag

leaf_on_cycle 1 2

Flag that indicates the vegetation growing cycle for leaf-on observations

leaf_on_doy 1 365

GEDI 1 km EASE 2.0 grid leaf-on start day-of-year

lon_highestreturn Degree -180 180

Longitude of highest detected return

modis_nonvegetated Percent

Percent non-vegetated from MODIS MOD44B V6 data

modis_nonvegetated_sd Percent

Percent non-vegetated standard deviation from MODIS MOD44B V6 data

modis_treecover Percent

Percent tree cover from MODIS MOD44B V6 data

modis_treecover_sd Percent

Percent tree cover standard deviation from MODIS MOD44B V6 data

num_detectedmodes 0 20

Number of detected modes in rxwaveform

pft_class 0 11

GEDI 1 km EASE 2.0 grid Plant Functional Type (PFT)

quality_flag 0 1

Flag indicating likely invalid waveform (1=valid, 0=invalid)

region_class 0 7

GEDI 1 km EASE 2.0 grid world continental regions

selected_algorithm 1 6

Identifier of algorithm selected as identifying the lowest non-noise mode

selected_mode 0 20

Identifier of mode selected as lowest non-noise mode

selected_mode_flag 0 1

Flag indicating status of selected_mode

sensitivity 0 1

Maxmimum canopy cover that can be penetrated

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 0 1

Indicates elev_lowestmode is within 300m of Digital Elevation Model (DEM) or Mean Sea Surface (MSS) elevation

urban_focal_window_size Pixels 3 5

The focal window size used to calculate urban_proportion. Values are 3 (3x3 pixel window size) or 5 (5x5 pixel window size).

urban_proportion 0 100

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 radians

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 radians

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 m -213 213

Relative height metrics at 0%

rh1 m -213 213

Relative height metrics at 1%

rh2 m -213 213

Relative height metrics at 2%

rh3 m -213 213

Relative height metrics at 3%

rh4 m -213 213

Relative height metrics at 4%

rh5 m -213 213

Relative height metrics at 5%

rh6 m -213 213

Relative height metrics at 6%

rh7 m -213 213

Relative height metrics at 7%

rh8 m -213 213

Relative height metrics at 8%

rh9 m -213 213

Relative height metrics at 9%

rh10 m -213 213

Relative height metrics at 10%

rh11 m -213 213

Relative height metrics at 11%

rh12 m -213 213

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rh13 m -213 213

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rh14 m -213 213

Relative height metrics at 14%

rh15 m -213 213

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rh16 m -213 213

Relative height metrics at 16%

rh17 m -213 213

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rh18 m -213 213

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rh19 m -213 213

Relative height metrics at 19%

rh20 m -213 213

Relative height metrics at 20%

rh21 m -213 213

Relative height metrics at 21%

rh22 m -213 213

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rh23 m -213 213

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rh24 m -213 213

Relative height metrics at 24%

rh25 m -213 213

Relative height metrics at 25%

rh26 m -213 213

Relative height metrics at 26%

rh27 m -213 213

Relative height metrics at 27%

rh28 m -213 213

Relative height metrics at 28%

rh29 m -213 213

Relative height metrics at 29%

rh30 m -213 213

Relative height metrics at 30%

rh31 m -213 213

Relative height metrics at 31%

rh32 m -213 213

Relative height metrics at 32%

rh33 m -213 213

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rh34 m -213 213

Relative height metrics at 34%

rh35 m -213 213

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rh36 m -213 213

Relative height metrics at 36%

rh37 m -213 213

Relative height metrics at 37%

rh38 m -213 213

Relative height metrics at 38%

rh39 m -213 213

Relative height metrics at 39%

rh40 m -213 213

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rh41 m -213 213

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rh42 m -213 213

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rh43 m -213 213

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rh44 m -213 213

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rh45 m -213 213

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rh46 m -213 213

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rh47 m -213 213

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rh48 m -213 213

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rh49 m -213 213

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rh50 m -213 213

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rh51 m -213 213

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rh52 m -213 213

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rh53 m -213 213

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rh54 m -213 213

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rh55 m -213 213

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rh56 m -213 213

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rh57 m -213 213

Relative height metrics at 57%

rh58 m -213 213

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rh59 m -213 213

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rh60 m -213 213

Relative height metrics at 60%

rh61 m -213 213

Relative height metrics at 61%

rh62 m -213 213

Relative height metrics at 62%

rh63 m -213 213

Relative height metrics at 63%

rh64 m -213 213

Relative height metrics at 64%

rh65 m -213 213

Relative height metrics at 65%

rh66 m -213 213

Relative height metrics at 66%

rh67 m -213 213

Relative height metrics at 67%

rh68 m -213 213

Relative height metrics at 68%

rh69 m -213 213

Relative height metrics at 69%

rh70 m -213 213

Relative height metrics at 70%

rh71 m -213 213

Relative height metrics at 71%

rh72 m -213 213

Relative height metrics at 72%

rh73 m -213 213

Relative height metrics at 73%

rh74 m -213 213

Relative height metrics at 74%

rh75 m -213 213

Relative height metrics at 75%

rh76 m -213 213

Relative height metrics at 76%

rh77 m -213 213

Relative height metrics at 77%

rh78 m -213 213

Relative height metrics at 78%

rh79 m -213 213

Relative height metrics at 79%

rh80 m -213 213

Relative height metrics at 80%

rh81 m -213 213

Relative height metrics at 81%

rh82 m -213 213

Relative height metrics at 82%

rh83 m -213 213

Relative height metrics at 83%

rh84 m -213 213

Relative height metrics at 84%

rh85 m -213 213

Relative height metrics at 85%

rh86 m -213 213

Relative height metrics at 86%

rh87 m -213 213

Relative height metrics at 87%

rh88 m -213 213

Relative height metrics at 88%

rh89 m -213 213

Relative height metrics at 89%

rh90 m -213 213

Relative height metrics at 90%

rh91 m -213 213

Relative height metrics at 91%

rh92 m -213 213

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rh93 m -213 213

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rh94 m -213 213

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rh95 m -213 213

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rh96 m -213 213

Relative height metrics at 96%

rh97 m -213 213

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rh98 m -213 213

Relative height metrics at 98%

rh99 m -213 213

Relative height metrics at 99%

rh100 m -213 213

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 in Earth Engine

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');