Earth and Space Science · 2019 · 288 citations · 24 references
Natural SciencesEarth SciencesForestryDigital Elevation ModelingRemote SensingSurveyingGround Cover AssessmentLand Surface ModelingLidar Remote SensingLidar-based Elevation ModelingLidar-based Forest MeasurementRemote Sensing For Forest InventoryAirborne Laser ScanningAirborne LidarAirborne Lidar Biomass MappingEcosystem DynamicsForest Structure MappingFull-waveform LidarLaser ScanningLidar Sensors
NASA's Global Ecosystem Dynamics Investigation (GEDI) is a spaceborne lidar mission which will produce near global (51.6°S to 51.6°N) maps of forest structure and above-ground biomass density during its 2-year mission. GEDI uses a waveform simulator for calibration of algorithms and assessing mission accuracy. This paper implements a waveform simulator, using the method proposed in Blair and Hofton (1999; https://doi.org/10.1029/1999GL010484), and builds upon that work by adding instrument noise and by validating simulated waveforms across a range of forest types, airborne laser scanning (ALS) instruments, and survey configurations. The simulator was validated by comparing waveform metrics derived from simulated waveforms against those derived from observed large-footprint, full-waveform lidar data from NASA's airborne Land, Vegetation, and Ice Sensor (LVIS). The simulator was found to produce waveform metrics with a mean bias of less than 0.22 m and a root-mean-square error of less than 5.7 m, as long as the ALS data had sufficient pulse density. The minimum pulse density required depended upon the instrument. Measurement errors due to instrument noise predicted by the simulator were within 1.5 m of those from observed waveforms and 70-85% of variance in measurement error was explained. Changing the ALS survey configuration had no significant impact on simulated metrics, suggesting that the ALS pulse density is a sufficient metric of simulator accuracy across the range of conditions and instruments tested. These results give confidence in the use of the simulator for the pre-launch calibration and performance assessment of the GEDI mission.
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Jean‐Philippe Gastellu‐Etchegorry, Tiangang Yin, Nicolas Lauret et al. · Remote Sensing · 2015 · 339 citations · Full text