Luísa Gomes Pereira

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A Digital Terrain Model (DTM) is needed to extract forest variables. Its accuracy affects that of these variables and thus it has to be known. Airborne Laser Scanning (ALS) is being increasingly used to produce DTM. The potential of full-waveform ALS (FWALS), however, for DTM-production in forest areas has not been thoroughly evaluated, especially under(More)
—The canopy density model (CDM), a new product interpolated from airborne laser scanner (ALS) data and dedicated to forest structure characterization is presented. It exploits both the multiecho capability of the ALS and a nonparametric density estimation technique called kernel density estimators (KDEs). The CDM is used to delineate the outmost perimeter(More)
Consistent and accurate information on 3D forest canopy structure is required by many applications like forest inventory, management, logging, fuel mapping, habitat studies or biomass estimate. Compared to other remote sensing techniques (e.g., SAR or photogram-metry), airborne laser scanning is an adapted tool to provide such information by generating a(More)
Canopy height and canopy cover are two important biophysical variables in forest characterization. As far as airborne laser scanning (ALS) studies is concerned, canopy height has been mapped at a high spatial resolution through canopy height models (CHM). Conversely, canopy cover had been computed at a coarser resolution (plot-level) by means of penetration(More)
Current methods for accurately estimating vegetation biomass with remote sensing data require extensive, representative and time consuming field measurements to calibrate the sensor signal. In addition, such techniques focus on the topmost vegetation canopy and thus they are of little use over multi-layered forest ecosystems where the underneath strata hold(More)
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