04000naa a2200649 a 450000100080000000500110000800800410001902200140006010000220007424501740009626000090027052020810027965000130236065000230237365000110239665000220240765000280242965000220245765000120247965000100249165000240250165000190252565000250254465000210256965000260259065000130261665000140262965000100264365000220265365000180267565000230269365000260271665000270274265000150276965000250278465300090280965300330281865300240285165300240287565300270289965300230292665300230294965300390297265300160301165300240302765300200305165300250307165300270309665300300312365300190315365300190317270000260319170000160321770000190323370000210325277300770327320554352021-07-02       2016    bl uuuu     u00u1 u    #d  a0034-42571 aFIGUEIREDO, E. O.  aLIDAR-based estimation of bole biomass for precision management of an Amazonian forestbcomparisons of ground-based and remotely sensed estimates.h[electronic resource]  c2016  aBased on airborne LIDAR data on canopymorphology and height of Amazon forest trees, we developed allometric models to estimate dry biomass stored in the boles of dominant and co-dominant individuals and compared these results with those from equations based on traditional variables such as diameter at breast height (DBH). The database consisted of 142 trees of interest for logging in a forest under management for timber in Brazil's state of Acre. The trees chosen for studywere selected through proportional sampling by diameter class (ranging from45 to 165 cm DBH) in order to properly represent the dominant and co-dominant tree populationswith diameters appropriate for harvest. Subsequent to LIDAR profiling of these trees, they were felled, subjected to a battery of dimensional measurements and sampled for wood-density determination. A set ofmodels was generated, followed by model selection and identity testing in order to compare groups of basicwood density (low, medium and high). The morphometric variables of the crown had high explanatory power for bole biomass independent of whether the allometric equations included DBH. When calculating bole biomass with equations that include basic wood density, the best estimate is obtained using variables for both DBH and crown morphology. To obtain an allometric equation that encompasses species in all three classes of basic density, one should either use only independent variables representing crown dimensions or complement these with variables for basic density (BD) and total height (Ht). The study demonstrates the feasibility of using ground-based measurements to calibrate biomass models that include only LIDAR-based variables, allowing much larger areas to be surveyed with reasonable accuracy. The present study is designed to produce data needed for forest management, but the methods developed here can be adapted to studies aimed at reducing the uncertainty in biomass estimates of whole forests (not just harvestable trees) for use in quantifying carbon emissions from forest loss and degradation.  aAmazonia  aBiomass production  aCanopy  aComputer software  aDry matter accumulation  aForest management  aLásers  aLidar  aMathematical models  aRemote sensing  aStatistical analysis  aTropical forests  aAnálise estatística  aBiomassa  aBiometria  aFlora  aFloresta tropical  aMatéria seca  aModelo matemático  aPopulação de planta  aPrograma de computador  aRaio laser  aSensoriamento remoto  aAcre  aAcumulación de materia seca  aAmazonia Occidental  aAmazônia Ocidental  aAnálisis estadístico  aBosques tropicales  aCubierta (plantas)  aFloresta Estadual do Antimary (AC)  aGeotécnica  aManejo de precisão  aManejo forestal  aModelos matemáticos  aProducción de biomasa  aProgramas de computadores  aTeledetección  aWestern Amazon1 aOLIVEIRA, M. V. N. d'1 aBRAZ, E. M.1 aPAPA, D. de A.1 aFEARNSIDE, P. M.  tRemote Sensing of Environment, Amsterdamgv. 187, p. 281-293, Dec. 2016.