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106.Klauberg, C.; Vogel, J.; Dalagnol, R.; Ferreira, M.P.; Hamamura, C.; Broadbent, E.; Silva, C.A. Post-Hurricane Damage Severity Classification at the Individual Tree Level Using Terrestrial Laser Scanning and Deep Learning. Remote Sens. 2023, 15, 1165. https://doi.org/10.3390/rs15041165

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61. Brancalion, P. H.S. ; Broadbent, E. N.; De-Miguel, S.; Cardil, A.; Rosa, M. R.; Almeida, C. T. ; Almeida, D. R.A. ; Chakravarty, S.; Zhou, M.; Gamarra, J. G.P. ; Liang, J.; Crouzeilles, R.; Hérault, B.; Aragão, L. E.O.C. ; Silva, C. A.; Almeyda-Zambrano, A. M. Emerging threats linking tropical deforestation and the COVID-19 pandemic. Perspectives in Ecology and Conservation, v. 1, p. 1, 2020. https://doi.org/10.1016/j.pecon.2020.09.006

60. Rex, F. E. ; Corte, A. P. D. ; Silva, C. A. ; Machado, S. A. ; Sanquetta, C. R. . Dynamics of Above-Ground Biomass in the Brazilian Amazon Using LiDAR Data. Anuário Do Instituto De Geociências (Ufrj. Impresso), V. 43, P. 228-238, 2020. https://doi.org/10.11137/2020_1_228_238

59. Corte, A. P. D.; Souza, D. V.; Rex, F. Ed.; Sanquetta, C. R. ; Mohan, M.; Silva, C. A.; Zambrano, A. M. A.; Prata, G.; Almeida, D. R.; Trautenmüller, J. W.; Klauberg, C.; De Moraes, A.; Sanquetta, M. N. ; Wilkinson, B.; Broadbent, E. N.. Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes. Computers and Electronics In Agriculture, v. 179, p. 105815, 2020. https://doi.org/10.1016/j.compag.2020.105815

58. Cardil, A.; Rodrigues, M.; Ramirez, J.; De-Miguel, S.; Silva, C. A.; Mariani, M.; Ascoli, D. Coupled effects of climate teleconnections on drought, Santa Ana winds and wildfires in southern California. Science Of The Total Environment, v. 1, p. 142788, 2020. https://doi.org/10.1016/j.scitotenv.2020.142788

57. Cardil, A.; de-Miguel, S., Silva, C.A; Reich, P. B., Calkin, D.; Brancalion, P. H. S. 9; et al. Recent deforestation drove the spike in Amazonian fires. Environ. Res. Lett. 2020. https://iopscience.iop.org/article/10.1088/1748-9326/abcac7

56. Wan Mohd Jaafar, Wan S.; Said, Nor F.S.; Abdul Maulud, Khairul N.; Uning, Royston; Latif, Mohd T.; Muhmad Kamarulzaman, Aisyah M.; Mohan, Midhun; Pradhan, Biswajeet; Saad, Siti N.M.; Broadbent, Eben N.; Cardil, Adrián; Silva, Carlos A.; Takriff, Mohd S. 2020. Carbon Emissions from Oil Palm Induced Forest and Peatland Conversion in Sabah and Sarawak, Malaysia. Forests 11, no. 12: 1285. https://doi.org/10.3390/f11121285

55. Prata, Gabriel A.; Broadbent, Eben N.; de Almeida, Danilo R.A.; St. Peter, Joseph; Drake, Jason; Medley, Paul; Corte, Ana P.D.; Vogel, Jason; Sharma, Ajay; Silva, Carlos A.; Zambrano, Angelica M.A.; Valbuena, Ruben; Wilkinson, Ben. 2020. Single-Pass UAV-Borne GatorEye LiDAR Sampling as a Rapid Assessment Method for Surveying Forest Structure. Remote Sens. 12, no. 24: 4111. https://doi.org/10.3390/rs12244111

2019

54. Gasparini, K. A., Silva Junior, C, Shimabukuro, Y., Silva, C. A., et al. Determining a Threshold to Delimit the Amazonian 3 Forests from Tree Canopy Cover 2000 Data. Sensors. 2019 https://doi.org/10.3390/s19225020

53. Silva, C.A., Pinagé,E., Mohan, M., Valbuena, R., Almeida, D., Broadbent,E., Jaafar, W., Papa, D., Cardil, A., Klauberg, C. ForestGapR: An R Package for Airborne Laser Scanning-derived Tropical Forest Gaps Analysis. Methods in Ecology and Evolution. 2019. https://doi.org/10.1111/2041-210X.13211

52. Klauberg, C., Hudak, A., Silva, C.A., Lewis, S., Robichaud, P., Jain, T. Characterizing fire effects on conifers at tree level from airborne laser scanning and high-resolution, multispectral satellite data. Ecological Modeling. 2019. https://doi.org/10.1016/j.ecolmodel.2019.108820

51. Eitel, J. ; Maguire, A. ; Boelman, N. ; Vierling, L. A. ; Griffin, K. ; Jensen, J. ; Magney, T. ; Mahoney, P. ; Meddens, A. ; Silva, C. A. ; Sonnentag, O. Proximal remote sensing of tree physiology at northern treeline: Do late-season changes in the photochemical reflectance index (PRI) respond to climate or photoperiod?. Remote Sensing of Environment, v. 221, p. 340-350, 2019. https://doi.org/10.1016/j.rse.2018.11.022

50. Ramirez, J., Monedero, S., Silva C.A., Cardil, A. Stochastic decision trigger modelling to assess the probability of wildland fire impact. Science of the Total Environment. 2019. https://doi.org/10.1016/j.scitotenv.2019.07.311

49. Cardil, A., Vega-García, C., Ascoli D., Molina-Terrén DM., Silva C.A., Rodrigues, M. How does drought impact burned area in Mediterranean vegetation communities? Science of the Total Environment. 2019. https://doi.org/10.1016/j.scitotenv.2019.133603

48. Mohan, M., Mendonça, B., Silva, C.A., Klauberg, C., Ribeiro, R., Araújo, E., Monte, M., Cardil, A. Optimizing Individual Tree Detection Accuracy and Measuring Forest Uniformity in Coconut (Cocos nucifera L.) Plantations using Airborne Laser Scanning. Ecological Modeling. 2019. https://doi.org/10.1016/j.ecolmodel.2019.108736

47. Almeida, D., Stark, S. C., Schietti, J. Camargo, J. L. C., Amazonas, N. T., Gorgens, E. B., Rosa, D. M.Smith, M. N., Valbuena, R, Saleska, S., Andrade, A., Mesquita, R., Laurance, S. G., Laurance, W. F. h, Lovejoy, T. E d, Broadbent, E., Shimabukuro, Y. E., Parker, G. G., Lefsky, M., Silva, C. A., Brancalion, P. H. Persistent effects of fragmentation on tropical rainforest canopy structure after years of isolation. Ecological Applications. 2019. https://doi.org/10.1002/eap.1952

46. Valbuena, R. Hernando, A., Manzaner, J., Görgen, E., Almeida, D., Silva, C.A., García-Abri, A. Evaluating observed versus predicted forest biomass: R-squared, index of agreement or maximal information coefficient?. European Journal of Remote Sensing. 2019. https://doi.org/10.1080/22797254.2019.1605624

45. Almeida, D., Zambrano, A., Wilkinson, B., Silva, C. A., Papa, D., Broadbent, E., Gorgens, E., Ferreira, M., Meli, P., Brancalion, P., Chazdon, R., Valbuena, R., Stark, S. Monitoring the structure of forest restoration plantations with a drone-lidar system. International Journal of Applied Earth Observations and Geoinformation. 2019. https://doi.org/10.1016/j.jag.2019.03.014

44. Burattoa, D.A ; Juniora, R ; Timofeiczyk, R. ; Silva, J.C.G.L. ; Fregaa, J.R. ; Wiechetecke, M.S.S.A.; Silva, C. A. Use of Artificial Neural Networks and Arima to Forecasting Consumption Sawnwood of Pinus sp. in Brazil. International Forestry Review, v. 21, p. 51-61, 2019 https://doi.org/10.1505/146554819825863735

43. Cardil, A.; Otsu, K. ; Pla, M. ; Silva, C. A. ; Brotons, L. Quantifying pine processionary moth defoliation in a pine-oak mixed forest using unmanned aerial systems and multispectral imagery. PlosOne, 2019 https://doi.org/10.1371/journal.pone.0213027

42. Cardil, A.; Ramirez, J. ; Monedero, S. ; Silva, C. A. Assessing and reinitializing wildland fire simulations through satellite active fire data. Journal of Environmental Management, v. 231, p. 996-1003, 2019. https://doi.org/10.1016/j.jenvman.2018.10.115

41. Molina-Terren, D. M. ; Xanthopoulos, G. ; Diakakis, M. ; Ribeiro, L. ; Caballero, D. ; Delogu, G. M. ; Viegas, D. X. ; Silva, C. A. ; Cardil, A. Analysis of forest fire fatalities in Southern Europe: Spain, Portugal, Greece and Sardinia (Italy). International Journal of Wildland Fire, v. 1, p. 1, 2019. https://doi.org/10.1071/WF18004

40. Almeida, D. R. A. ; Stark, S. C. ; Shao, G. ; Schietti, J. ; Nelson, B. W. ; Silva, C.A ; Gorgens, E. ; Valbuena, R. ; Papa, D. A. ; Brancalion, P. H. S. Optimizing the Remote Detection of Tropical Rainforest Structure with Airborne Lidar: Leaf Area Profile Sensitivity to Pulse Density and Spatial Sampling. Remote Sensing, v. 11, p. 1, 2019. https://doi.org/10.3390/rs11010092

39. Cardil, A.; Monedero, S. ; Silva, C. A. ; Ramirez, J. Adjusting the rate of spread of fire simulations in real-time. Ecological Modelling, v. 395, p. 39-44, 2019. https://doi.org/10.1016/j.ecolmodel.2019.01.017

38. Almeida, D. R. A. ; Stark, S. C. ; Chazdon, R. ; Nelson, B. W. ; Cesar, R. ; Meli, P. ; Gorgens, E. ; Duarte, M. M. ; Valbuena, R. ; Moreno, V. ; Mendes, A. F. ; Amazonas, N. T. ; Goncalves, N. ; Silva, C. A. ; Schietti, J. ; Brancalion, P. H. S. The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration. Forest Ecology and Management, v. 438, p. 34-43, 2019. https://doi.org/10.1016/j.foreco.2019.02.002

37. Rex, F. ; Corte, Ana Paula Dalla ; Sanquetta, C. R. ; Machado, S. A. ; Silva, C. A. Estimativa de Biomassa Aérea de Araucaria angustifolia (Bertol.) Kuntze POR DADOS LiDAR. Floram, 2019. https://floram.org/journal/floram/article/doi/10.1590/2179-8087.110717

36. Guerra-Hernández, J., Cozensa, D., Cardil, A., Silva, C.A., Botequim, B., Soares, P., Silva, M. González-Ferreiro, E. Díaz-Varela, R. A. Predicting Growing Stock Volume of Eucalyptus plantations using 3-D point clouds derived from UAV imagery and ALS data. Forests. 2019. https://doi.org/10.3390/f10100905

35. Papa, D., Almeida, D., Estraviz, L.C., Valbuena. R., Silva, C.A. et al. Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. Forest Ecology and Management. 2019. https://doi.org/10.1016/j.foreco.2019.117634

34. Almeida. D., Stark, S., Valbuena, R., Broadbent, E., Silva, T., Resende, A., Ferreira, M., Cardil, A., Silva, C.A., Amazonas, N., Zambranoi, A., Brancalion. P. A new era in forest restoration monitoring. Restoration Ecology. 2019 https://doi.org/10.1111/rec.13067

2018

33. Silva, C. A.; Saatchi, S. ; Alonso, M. G. ; Labriere, N. ; Klauberg, C. ; Ferraz, A. ; Meyer, V. ; Jeffery, K. J. ; Abernethy, K. ; White, L. ; Zhao, K. ; Lewis, S. L. ; Hudak, A. T. Comparison of Small- and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study From Central Gabon. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, p. 1-15, 2018. https://doi.org/10.1109/JSTARS.2018.2816962

32. Klauberg, C. ; Hudak, A. ; Bright, B. C. ; Boschetti, L. ; Dickinson, M. ; Kremens, R. ; Silva, C. A. Use of ordinary kriging and Gaussian conditional simulation to interpolate airborne fire radiative energy density estimates. International Journal of Wildland Fire, v. 27, p. 228, 2018. https://doi.org/10.1071/WF17113

31. Hentz, A. M. K. ; Silva, C. A. ; Corte, A. P. D. ; Netto, S. P. ; Strager, M. P. ; Klauberg, C. Estimating forest uniformity in Eucalyptus spp. and Pinus taeda L. stands using field measurements and structure from motion point clouds generated from unmanned aerial vehicle (UAV) data collection. Forest Systems, v. 27, p. e005, 2018. https://revistas.inia.es/index.php/fs/article/view/11713

30. Qu, Y. ; Shaker, A. ; Silva, C. A. ; Klauberg, C. ; Pinage, E. R. Remote Sensing of Leaf Area Index from LiDAR Height Percentile Metrics and Comparison with MODIS Product in a Selectively Logged Tropical Forest Area in Eastern Amazonia. Remote Sensing, v. 10, p. 970, 2018. https://doi.org/10.3390/rs10060970

29. Ferraz, A. ; Saatchi, S. ; Xu, L. ; Hagen, S. ; Chave, J. ; Yu, Y. ; Meyer, V. ; Alonso, M. G. ; Silva, C.A ; Roswintiart, O. ; Samboko, A. ; Sist, P. ; Walker, S. ; Pearson, T. ; Wijaya, A. ; Sullivan, F. ; Rutishauser, E. ; Hoekman, D. ; Ganguly, S. Carbon storage potential in degraded forests of Kalimantan, Indonesia. Environmental Research Letters, v. 1, p. 1, 2018. https://iopscience.iop.org/article/10.1088/1748-9326/aad782/pdf

28. Silva, C.A; Klauberg, C. ; Hudak, Andrew T. ; Vierling, L. A. ; Liesenberg, V. ; Bernett, L. G. ; Scheraiber, C. ; Schoeninger, E. Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation. Anais Da Academia Brasileira de Ciências, v. 90, p. 295-309, 2018. https://www.scielo.br/j/aabc/a/JjVJzFxjcyMWyQxRrbyCbjR/?lang=en

27. Huo, L. ; Silva, C. A. ; Klauberg, C. ; Mohan, M. ; Zhao, L. ; Tang, P. ; Hudak, A. T. Supervised spatial classification of multispectral LiDAR data in urban areas. PLOS One, v. 13, p. e0206185, 2018. https://doi.org/10.1371/journal.pone.0206185

26. Jaafar, W. S. W. M. ; Woodhouse, I. H. ; Silva, C. A. ; Omar, H. ; Maulud, K. N. A. ; Hudak, Andrew T. ; Klauberg, C. ; Cardil, A. ; Mohan, M. Improving Individual Tree Crown Delineation and Attributes Estimation of Tropical Forests Using Airborne LiDAR Data. Forests, v. 9, p. 759, 2018. https://doi.org/10.3390/f9120759

25. Silva, C. A.; Klauberg, C. ; Hentz, A. M. K. ; Corte, A. P. D. ; Ribeiro, U. ; Liesenberg, V.Comparing the Performance of Ground Filtering Algorithms for Terrain Modeling in a Forest Environment Using Airborne LiDAR Data. Floram, v. 25, p. 2-10, 2018. https://www.scielo.br/j/floram/a/P7z7RW6v6hp4jm4wk7m7vzt/?lang=en

2017

24. Ruza, M. S. ; Corte, A. P. D. ; Hentz, A. M. K. ; Sanquetta, C. R. ; Silva, C. A. ; Schoeninger, E. R. Inventário de Sobrevivência de povoamento de Eucalyptus com uso de Redes Neurais Artificiais em Fotografias obtidas por VANTs. Advances in Forestry Science, v. 4, p. 83-88, 2017. https://periodicoscientificos.ufmt.br/ojs/index.php/afor/article/view/4169

23. Alonso, M. G. ; Saatchi, S. ; Ferraz, A. ; Silva, C. A. ; Ustin, S. ; Koltunov, A. ; Balzter, H. Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR. Carbon Balance and Management, v. 12, p. 4, 2017. https://cbmjournal.biomedcentral.com/articles/10.1186/s13021-017-0073-1

22. Jaafar, W. S. W. M. ; Woodhouse, I. H. ; Silva, C. A. ; Omar, H. Modelling individual tree aboveground biomass using discrete return LiDAR in lowland dipterocarp forest of Malaysia. Journal of Tropical Forest Science, v. 29, p. 465-484, 2017.

21. Silva, L. G. ; Silva, C. A. ; Klauberg, C. ; Mello, J. M. Detecção de árvores individuais em área florestal mista de coníferas por meio de dados LiDAR aerotransportando. Advances in Forestry Science, v. 4, p. 1, 2017. https://periodicoscientificos.ufmt.br/ojs/index.php/afor/article/view/4067

20. Silva, C. A.; Carine Klauberg ; Hudak, Andrew T. ; Vierling, Lee A. ; Fennema, S. ; Corte, A. P. D. Modeling and mapping basal area of Pinus taeda L. plantation using airborne LiDAR data. Anais da Academia Brasileira de Ciências, v. 89, p. 1895-1905, 2017. https://www.scielo.br/j/aabc/a/4DNkDcvfdXtVJCHppKwZ3Tm/?lang=en

19. Madi, J. P. S. ; Vendruscolo, D. G. S. ; Silva, C. A. ; Lima, M. P. ; Carvalho, S. P. C. Univariate models to represent the diametric distribution of thinned stand of Tectona grandis Linn.F. Advances in Forestry Science, v. 4, p. 119-123, 2017. https://periodicoscientificos.ufmt.br/ojs/index.php/afor/article/view/4726

18. Silva, C. A.; Klauberg, C. ; Hudak, Andrew T. ; Vierling, L. A. ; Jaafar, W. S. W. M. ; Mohan, M. ; Alonso, M. G. ; Ferraz, A. ; Saatchi, S. ; Cardil, A. Predicting Stem Total and Assortment Volumes in an Industrial Pinus taeda L. Forest Plantation Using Airborne Laser Scanning Data and Random Forest. Forests, v. 8, p. 254-271, 2017. https://doi.org/10.3390/f8070254

17. Klauberg, C. ; Vidal. E. J ; Silva, C. A. ; Hudak, Andrew T. ; Oliveira, M. ; Higuchi, P.Short-Term Effects of Reduced-Impact Logging on Copaifera spp. (Fabaceae) Regeneration in Eastern Amazon. Forests, v. 8, p. 257-270, 2017. https://doi.org/10.3390/f8070257

16. Mohan, M. ; Silva, C. A. ; Klauberg, C. ; Jat, P. ; Catts, G. ; Cardil, A. ; Hudak, A. Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest. Forests, v. 8, p. 340-357, 2017. https://doi.org/10.3390/f8090340

15. Silva, C. A.; Hudak, Andrew T. ; Vierling, L. A. ; Klauberg, C. ; Alonso, M. G. ; Ferraz, A. ; Keller, M. ; Eitel, J. ; Saatchi, S. Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest. Remote Sensing, v. 9, p. 1068-1087, 2017. https://doi.org/10.3390/rs9101068

14. Silva, C.A; Klauberg, C; Hentz, Â; Carvalho, S; Corte, A. Predição da biomassa aérea em plantações de Pinus taeda L. por meio de dados LiDAR aerotransportado. Scientia Forestalis, v. 45, p. 527-539, 2017. https://www.ipef.br/publicacoes/scientia/nr115/cap10.pdf

13. Silva, C. A.; Klauberg, Carine ; Mendonça, Bruno Araujo Furtado De ; Carvalho, Samuel Padua Chaves E . Efeito da densidade de pontos LiDAR na predição da altura em plantações de Pinus taeda L.. Scientia Forestalis, v. 45, p. 481-492, 2017. https://www.ipef.br/publicacoes/scientia/nr115/cap06.pdf

12. Silva, C. A.; Hudak, A. ; Klauberg, C. ; Vierling, L. A. ; Gonzalez-Benecke, C. A. ; Carvalho, S. P. C. ; Rodriguez, L. C. E. ; Cardil, A. Combined effect of pulse density and grid cell size on predicting and mapping aboveground carbon in fast-growing Eucalyptus forest plantation using airborne LiDAR data. Carbon Balance and Management, v. 12, p. 2-16, 2017. https://cbmjournal.biomedcentral.com/articles/10.1186/s13021-017-0081-1

2016

11. Silva, C. A.; Klauberg, Carine ; Hudak, Andrew T. ; Vierling, Lee A. ; Liesenberg, Veraldo ; Carvalho, Samuel P. C. E ; Rodriguez, Luiz C. E. A principal component approach for predicting the stem volume in Eucalyptus plantations in Brazil using airborne LiDAR data. Forestry, v. 89, p. cpw016, 2016. https://doi.org/10.1093/forestry/cpw016

10. Silva, C. A.; Hudak, A. ; Vierling, L. A. ; Loudermilk, L. ; O'brien, J. J. ; Hiers, J. ; Jack, S. B. ; Gonzalez-Benecke, C. A. ; Lee, H. ; Falkowski, M. J. ; Khosravipour, A. Imputation of Individual Longleaf Pine ( Mill.) Tree Attributes from Field and LiDAR Data. Canadian Journal of Remote Sensing, p. 00-15, 2016. https://doi.org/10.1080/07038992.2016.1196582

9. Klauberg, C. ; Vidal. E. J ; Silva, C.A ; Bentes, M. M. ; Hudak, A.Sampling methods for titica vine (Heteropsis spp.) inventory in a tropical forest. Annals of Forest Science, v. 4, p. 1-8, 2016. https://doi.org/10.1007/s13595-016-0565-2

8. Klauberg, C. ; Silva, C.A ; Lima, M. P. ; Carvalho, S. P. C.Panorama mundial sobre publicações técnico-científicas abordando Produtos Florestais Não Madeireiros nas duas últimas décadas. Advances in Forestry Science, v. 3, p. 29-37, 2016. https://periodicoscientificos.ufmt.br/ojs/index.php/afor/article/view/3430

7. Hudak, A. ; Bright, B. C. ; Pokswinski, S. M. ; Loudermilk, E. L. ; O?Brien, J. J. ; Hornsby, B. S. ; Klauberg, C. ; Silva, C.A . Mapping Forest Structure and Composition from Low-Density LiDAR for Informed Forest, Fuel, and Fire Management at Eglin Air Force Base, Florida, USA. Canadian Journal of Remote Sensing, v. 42, p. 411-427, 2016. https://doi.org/10.1080/07038992.2016.1217482

6. Ferraz, A. ; Saatch, S. ; Mallet, C. ; Jacquemoud, S. ; Goncalves, G. ; Silva, C.A ; Soares, P. ; Tome, M. ; Pereira, L. Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory. Remote Sensing, v. 8, p. 653, 2016. https://doi.org/10.3390/rs8080653

2015

5. Silva, C.A; Klauberg, C. ; Carvalho, S. P. C. ; Piccolo, M. C. ; Rodriguez, L. C. E.Estoque de carbono na biomassa área florestal em plantações comerciais de Eucalyptus spp. Scientia Forestalis, v. 43, p. 301-309, 2015. https://www.ipef.br/publicacoes/scientia/nr105/cap13.pdf

4. Gorgens, E. ; Rodriguez, L. C. E. ; Silva, A. G. P. ; Silva, C.A . Identificação De Árvores Individuais A Partir De Levantamentos Laser Aerotransportado Por Meio De Janela Inversa. Cerne, v. 21, p. 91-96, 2015. https://www.scielo.br/j/cerne/a/DhM3dMZkYfSJQZGtKFLtBNM/?lang=pt

3. Carvalho, S. P. C. ; Rodriguez, L.C.E. ; Silva, L.D. ; Carvalho, L.M.T. ; Calegario, N. ; Lima, M. P. ; Silva, C.A ; Mendonca, A. R. ; Nicoletti, M. F. . Predição do volume de árvores integrando Lidar e Geoestatística. Scientia Forestalis, v. 43, p. 627-637, 2015. https://www.ipef.br/publicacoes/scientia/nr107/cap14.pdf

2014

2. Silva, C. A.; Klauberg, C. ; Carvalho, S. P. C. ; Hudak, A. ; Rodriguez, L. C. E. . Mapping aboveground carbon stocks using LiDAR data in Eucalyptus spp. plantations in the state of São Paulo, Brazil. Scientia Forestalis, v. 42, p. 591-604, 2014. https://www.fs.usda.gov/treesearch/pubs/48607

1. Carvalho, S. P. C. ; Rodriguez, L. C. E. ; Calegario, N. ; Savian, T. V. ; Lima, M. P. ; Silva, C. A. ; Mendonca, A. R. ; Nicoletti, M. F. . Modelagem não linear mista para descrever o afilamento de árvores clonais de Eucalyptus sp. Scientia Forestalis, v. 42, p. 605, 2014. https://www.ipef.br/publicacoes/scientia/nr104/cap14.pdf