Uso 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.
Monitoring 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.
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Anais e Proceedings de eventos biblioteca |
| Language: | pt_BR por |
| Published: |
2017-07-05
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| Subjects: | Geotécnica, Manejo florestal, Floresta Estadual do Antimary (AC), Bujari (AC), Sena Madureira (AC), Acre, Amazônia Ocidental, Western Amazon, Amazonia Occidental, Análisis estadístico, Biomasa, Desechos, Análisis de regresión, Teledetección., Explotación forestal, Exploração florestal, Extração da madeira, Biomassa, Perda, Estimativa, Sensoriamento remoto, Raio laser, Análise estatística, Regressão linear, Logging, Biomass, Wastes, Remote sensing, Lidar, Statistical analysis, Regression analysis, Lásers., |
| Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1072022 |
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