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| Moreira,José Mauro Magalhães Ávila Paz; Rodriguez,Luiz Carlos Estraviz. |
| Modelos de planejamento florestal com restrições espaciais resultam em problemas matemáticos combinatoriais de difícil resolução. O procedimento mais apropriado, neste caso, é desenvolver métodos heurísticos, em vez das técnicas tradicionais de programação linear. O objetivo deste trabalho é aplicar, aprimorar e avaliar o desempenho da heurística denominada RazaoR (NOBRE e RODRIGUEZ, 2005), desenvolvido para a solução de problemas de planejamento florestal formulados integralmente com variáveis binárias e de acordo com o modelo Tipo I (JOHNSON e SCHEURMAN, 1977 apud CLUTTER et al., 1992, p. 281). O método incorpora restrições espaciais de conectividade entre os fragmentos de vegetação nativa adjacentes às florestas de produção. O déficit de conectividade... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Heurísticas; RazaoR; Manejo florestal otimizado; Corredores de conectividade; Programação dinâmica. |
| Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032010000200001 |
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| Silva,André Gracioso Peres; Görgens,Eric Bastos; Campoe,Otávio Camargo; Alvares,Clayton Alcarde; Stape,José Luiz; Rodriguez,Luiz Carlos Estraviz. |
| This study aimed to map the stem biomass of an even-aged eucalyptus plantation in southeastern Brazil based on canopy height profile (CHPs) statistics using wall-to-wall discrete return airborne laser scanning (ALS), and compare the results with alternative maps generated by ordinary kriging interpolation from field-derived measurements. The assessment of stem biomass with ALS data was carried out using regression analysis methods. Initially, CHPs were determined to express the distribution of laser point heights in the ALS cloud for each sample plot. The probability density function (pdf) used was the Weibull distribution, with two parameters that in a secondary task, were used as explanatory variables to model stem biomass. ALS metrics such as height... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: LiDAR; Basal area; Biometric model; Forest inventory; Fast-growing plantations. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000600504 |
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| Melo,Alessandra Morais; Reis,Cristiano Rodrigues; Martins,Bruno Ferraz; Penido,Tamires Mousslech Andrade; Rodriguez,Luiz Carlos Estraviz; Gorgens,Eric Bastos. |
| ABSTRACT In eucalyptus plantations, the presence of understory increases the risk of fires, acts as an obstacle to forest operations, and leads to yield losses due to competition. The objective of this study was to develop an approach to discriminate the presence or absence of understory in eucalyptus plantations based on airborne laser scanning surveys. The bimodal canopy height profile was modeled by two Weibull density functions: one to model the canopy, and other to model the understory. The parameters used as predictor in the logistic model successfully discriminated the presence or absence of understory. The logistic model composed by ℽ canopy, ℽ understory, and ℽ understory showed higher values of accuracy (0.96) and kappa (0.92), which means an... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: LiDAR; Remote sensing; Weed control; Understory vegetation. |
| Ano: 2021 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000101001 |
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