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| Registros recuperados: 44 | |
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| SILVEIRA,EDUARDA M.O.; REIS,ALINY A. DOS; TERRA,MARCELA C.N.S.; WITHEY,KIERAN D.; MELLO,JOSÉ M. DE; ACERBI-JÚNIOR,FAUSTO W.; FERRAZ FILHO,ANTONIO CARLOS; MELLO,CARLOS R.. |
| Abstract: Here we model and describe the wood volume of Cerrado Sensu Stricto, a highly heterogeneous vegetation type in the Savanna biome, in the state of Minas Gerais, Brazil, integrating forest inventory data with spatial-environmental variables, multivariate regression, and regression kriging. Our study contributes to a better understanding of the factors that affect the spatial distribution of the wood volume of this vegetation type as well as allowing better representation of the spatial heterogeneity of this biome. Wood volume estimates were obtained through regression models using different environmental variables as independent variables. Using the best fitted model, spatial analysis of the residuals was carried out by selecting a semivariogram... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cerrado sensu stricto; Forest inventory; Geostatistics; Regression kriging; Volumetry. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700853 |
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| SILVA,CARLOS ALBERTO; KLAUBERG,CARINE; HUDAK,ANDREW T.; VIERLING,LEE A.; LIESENBERG,VERALDO; BERNETT,LUIZ G.; SCHERAIBER,CLEWERSON F.; SCHOENINGER,EMERSON R.. |
| ABSTRACT Accurate forest inventory is of great economic importance to optimize the entire supply chain management in pulp and paper companies. The aim of this study was to estimate stand dominate and mean heights (HD and HM) and tree density (TD) of Pinus taeda plantations located in South Brazil using in-situ measurements, airborne Light Detection and Ranging (LiDAR) data and the non- k-nearest neighbor (k-NN) imputation. Forest inventory attributes and LiDAR derived metrics were calculated at 53 regular sample plots and we used imputation models to retrieve the forest attributes at plot and landscape-levels. The best LiDAR-derived metrics to predict HD, HM and TD were H99TH, HSD, SKE and HMIN. The Imputation model using the selected metrics was more... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Forest inventory; LiDAR metrics; K-NN Imputation; Remote Sensing. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000100295 |
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| Mello,José Marcio de; Scolforo,Henrique Ferraço; Raimundo,Marcel Régis; Scolforo,José Roberto Soares; Oliveira,Antônio Donizette de; Filho,Antônio Carlos Ferraz. |
| The sampling technique commonly used in forest inventories is the systematic sampling. This study aimed to evaluate the estimator of the variance of the mean proposed by Cochran for a systematic sampling technique in forests with high and low percentages of the sampled area. The study areas comprised native vegetation in Minas Gerais. To assess the efficiency of the estimators in situations involving high sampling rates (determined as the percentage of the area sampled), a fragment where a census was conducted was used. The remaining fragments comprised situations involving low sampling rates, and for these fragments, inventory accuracy was determined using the Cochran estimator. As a result it was observed, in the fragment where the census was conducted,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Sampling; Forest inventory; Minas Gerais. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542015000100015 |
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| Registros recuperados: 44 | |
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