GEDI footprints with corrected geolocation with DEM

Résumé 0

Data set from Schleich Anouk, Durrieu Sylvie, Maxime Soma and Cédric Vega, "Improving GEDI Footprint Geolocation using a High Resolution Digital Elevation Model" We proposed a geolocation correction method for Global Ecosystem Dynamics Investigation (GEDI) data. The method, called GeoGEDI, is only based on high-resolution digital elevation models (DEMs) and GEDI derived ground elevations. The method does not need any other input, except for a DEM and GEDI Level 2A data. For each footprint, an error map between GEDI ground estimates and reference DEM is computed, and a flow accumulation algorithm is used to retrieve the optimal footprint position. GeoGEDI was tested on footprints in Landes and Vosges, two french forests. The method was applied to GEDI versions 1 (v1) and 2 (v2), by either a single or four full-power laser beam tracks. This dataset is composed of 157 977 GEDI footprints whith positions of unchanged GEDI v1 and v2 releases and the optimal position calculated with our GeoGEDI algorithm.