Short Name:

GEDI L2A Elevation and Height Metrics Data Global Footprint Level V002

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 purpose of the GEDI Level 2A Geolocated Elevation and Height Metrics product (GEDI02_A) is to provide waveform interpretation and extracted products from each GEDI01_B received waveform, including ground elevation, canopy top height, and relative height (RH) metrics. The methodology for generating the GEDI02_A product datasets is adapted from the Land, Vegetation, and Ice Sensor (LVIS) algorithm. The GEDI02_A product is provided in HDF5 format and has a spatial resolution (average footprint) of 25 meters. The GEDI02_A data product contains 156 layers for each of the eight beams, including ground elevation, canopy top height, relative return energy metrics (e.g., canopy vertical structure), and many other interpreted products from the return waveforms. Additional information for the layers can be found in the GEDI Level 2A Dictionary. Improvements for Version 2 * Metadata has been updated to include spatial coordinates. * Granule size has been reduced from one full ISS orbit (~5.8 GB) to four segments per orbit (~1.5 GB). * Filename has been updated to include segment number and version number. * Improved Geolocation. * Added elevation from the SRTM digital elevation model for comparison. * Modified the method to predict an optimum algorithm setting group per laser shot. * Added additional land cover datasets related to phenology, urban infrastructure, and water persistence. * Added selected_mode_flag dataset to root beam group using selected algorithm. * Removed shots when the laser is not firing. * Modified file name.

Map of Earth