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Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil

Abstract : The Geoscience Laser Altimeter System (GLAS) has provided a useful dataset for estimating forest heights in many areas of the globe. Most of the studies on GLAS waveforms have fo- cused on natural forests and only a few were conducted over forest plantations. This work set out to estimate the stand-scale dominant height and aboveground biomass of intensively managed Euca- lyptus plantations in Brazil using the most commonly used models developed for natural forests. These forest plantations are valuable case studies, with large and numerous stands that are very uni- form, in which field measurements are precise compared to nat- ural forests. The height of planted Eucalyptus forest stands esti- mated from waveforms acquired by GLAS were compared with in situ measurements in order to determine the model that produced the best forest height estimates. For our slightly sloping study site (slope < 7°), the direct method defined as the difference between the signal begin and the ground peak provided forest height es- timates with an accuracy of 2.2 m. The use of statistical models based on waveform metrics and digital elevation models provided slightly better results (1.89 m accuracy) in comparison with the di- rect method and the most relevant metrics proved to be the trailing edge extent and the waveform extent. Moreover, a power law model was used to fit in situ aboveground biomass to in situ forest height. The results using this model with GLAS-derived heights showed an accuracy for biomass of 16.1 Mg/ha.
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Nicolas Baghdadi, Guerric Le Maire, Ibrahim Fayad, Jean-Stéphane Bailly, Yann Nouvellon, et al.. Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2014, 7 (1), pp.290-299. ⟨10.1109/JSTARS.2013.2261978⟩. ⟨hal-01522004⟩

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