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• W1605996979 abstract "A altura dominante (Ho) de 120 parcelas georreferenciadas (600m² cada) foi estimada atraves de diversas medidas de distribuicao, maximas locais e densidade derivada da varredura a laser com pequena impressao obtida em um povoamento florestal deciduo irregular. As parcelas foram distribuidas de forma a contemplar toda a variabilidade de alturas dominantes e o tipo de regeneracao existente nos 112km² da area estudada, localizada na floresta de Haye, Franca. O modelo construido com variaveis de maxima local (Hmv5) e densidade de retornos (d9) foi capaz de estimar a Ho com alta acuracia, alem de ser independente do tipo de povoamento, o que possibilitou sua aplicacao em toda a floresta. A validacao cruzada do modelo final mostrou que este explicou 98% da variabilidade observada nas parcelas em campo, com um RMSE de 0.77m (3.31%). Nenhum efeito drastico da escolha do MNT, densidade de retornos ou do posicionamento das parcelas foi detectado no modelo, sugerindo grande estabilidade. Abstract The mean dominant heights of 120 georeferenced field sample plots (600m² each) were estimated from a range of canopy densities, distributions and local maxima metrics derived by a small-footprint laser scanner over various deciduous forest stands using regression analysis. The sample plots were distributed in order to better represent the variability in stand dominant height and regeneration practices throughout a 112km² study areas in Haye forest, France. The model constructed with local maxima ( Hmv5 ) and a LIDAR density metric ( d9 ) was able to estimate Ho with a very high accuracy and was not sensitive to stand types. Cross-validation showed that the final model explained 98% of the variability in ground-truth dominant height, with a RMSE of 0.77m (3.31%). No drastic effects of DTM, echo densities, or positioning errors were found in the models." @default.
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• W1605996979 date "2010-10-24" @default.
• W1605996979 modified "2023-09-27" @default.
• W1605996979 title "Estimativa da altura dominante em povoamentos decíduos através de dados LIDAR com múltiplos retornos Estimating dominant height in deciduous stands using multi-echo LIDAR data" @default.
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