Litcius/Paper detail

Stage 1 Validation of Plant Area Index From the Global Ecosystem Dynamics Investigation

Luke A. Brown, Harry Morris, Courtney L. Meier, Alexander Knohl, Christian Lanconelli, Nadine Gobron, Jadunandan Dash, F. Mark Danson

2023IEEE Geoscience and Remote Sensing Letters14 citationsDOIOpen Access PDF

Abstract

The Global Ecosystem Dynamics Investigation (GEDI) aims to provide improved characterization of forest structure, and plant area index (PAI) is one of many variables provided in the official GEDI Level 2B (L2B) product suite. However, since release, few quantitative validation studies have been conducted. To reach Stage 1 of the validation hierarchy proposed by the Land Product Validation (LPV) sub-group of the Committee on Earth Observation Satellites (CEOS) Working Group on Calibration and Validation (WGCV), we provide an initial assessment of PAI estimates from GEDI’s L2B product. This is achieved using 18 in situ reference measurements available through the Copernicus Ground Based Observations for Validation (GBOV) service. We show that GEDI L2B PAI retrievals provide a nearly unbiased estimate of effective (PAI <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">e</sub> ) (RMSD = 0.95, bias = 0.02, slope = 1.07), but systematically underestimate PAI (RMSD = 1.42, bias = -0.91, slope = 0.77). This is attributed to an assumed random distribution of plant material in the algorithm. To reach Stage 2 of the CEOS WGCV LPV hierarchy, continued work is needed to validate the product against additional in situ reference measurements covering further locations and time periods.

Topics & Concepts

Product (mathematics)CalibrationEarth observationHierarchyIndex (typography)Environmental scienceStatisticsRemote sensingComputer scienceMathematicsGeographySatelliteEngineeringAerospace engineeringWorld Wide WebMarket economyEconomicsGeometryRemote Sensing in AgricultureRemote Sensing and LiDAR ApplicationsPlant Water Relations and Carbon Dynamics