02850nam a2200553 a 450000100080000000500110000800800410001902000220006010000220008224501910010426001010029530000090039652011990040565000120160465000120161665000100162865000120163865000240165065000190167465000250169365000110171865000260172965000130175565000150176865000270178365000260181065000100183665000150184665000220186165000250188365300090190865300240191765300240194165300280196565300270199365300120202065300160203265300130204865300260206165300390208765300160212665300210214265300240216365300190218765300190220670000260222570000230225170000220227420720222023-11-16       2017    bl uuuu     u00u1 u    #d  a978-85-17-00088-11 aQUEIROZ, A. M. de  aUso do LiDAR para quantificação da perda de biomassa produzida pelo corte de árvores e extração das toras em uma floresta tropical manejada no Estado do Acre.h[electronic resource]  aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpec2017  a8 p.  aMonitoring forest operations on logged areas is essential to identify the impacts caused to the residual. Light Detection and Ranging (LiDAR) has proven an effective tool to the quantification of the structural parameters and biomass loss on tropical forests. The objective of this study was through the use of repeated LiDAR flights to elaborate a regression model to estimate the biomass of the logged trees and to assess the biomass losses produced by tree cutting and logs extraction in a forest management area. The study was carried out in an annual production area in the Antimary state forest in Acre State, western Amazon. The results demonstrated that: i. the use of crown projection area as independent variable was sufficient to produce a robust model to estimate the biomass of individual trees; ii. the number of trees extracted alone did not explained the biomass loss in the plots and iii. there was a strong relationship between the total biomass loss estimated by the subtraction of the biomass before and after logging and the biomass of the extracted trees. We suggest that this relationship should be used as a quality indicator of the applied forest management techniques.  aBiomass  aLásers  aLidar  aLogging  aRegression analysis  aRemote sensing  aStatistical analysis  aWastes  aAnálise estatística  aBiomassa  aEstimativa  aExploração florestal  aExtração da madeira  aPerda  aRaio laser  aRegressão linear  aSensoriamento remoto  aAcre  aAmazonia Occidental  aAmazônia Ocidental  aAnálisis de regresión  aAnálisis estadístico  aBiomasa  aBujari (AC)  aDesechos  aExplotación forestal  aFloresta Estadual do Antimary (AC)  aGeotécnica  aManejo florestal  aSena Madureira (AC)  aTeledetección  aWestern Amazon1 aOLIVEIRA, M. V. N. d'1 aOLIVEIRA, L. C. de1 aFIGUEIREDO, E. O.