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Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data

Research output: Contribution to journal › Article › peer-review

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Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data. / Silva, Vanessa Sousa da; Silva, Carlos Alberto; Mohan, Midhun et al.
In: Remote Sensing, Vol. 12, No. 9, 01.05.2020.

Research output: Contribution to journal › Article › peer-review

HarvardHarvard

Silva, VSD, Silva, CA, Mohan, M, Cardil, A, Rex, FE, Loureiro, GH, Almeida, DRAD, Broadbent, EN, Gorgens, EB, Dalla Corte, AP, Silva, EA, Valbuena, R & Klauberg, C 2020, 'Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data', Remote Sensing, vol. 12, no. 9. https://doi.org/10.3390/rs12091438

APA

Silva, V. S. D., Silva, C. A., Mohan, M., Cardil, A., Rex, F. E., Loureiro, G. H., Almeida, D. R. A. D., Broadbent, E. N., Gorgens, E. B., Dalla Corte, A. P., Silva, E. A., Valbuena, R., & Klauberg, C. (2020). Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data. Remote Sensing, 12(9). https://doi.org/10.3390/rs12091438

CBE

Silva VSD, Silva CA, Mohan M, Cardil A, Rex FE, Loureiro GH, Almeida DRAD, Broadbent EN, Gorgens EB, Dalla Corte AP, et al. 2020. Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data. Remote Sensing. 12(9). https://doi.org/10.3390/rs12091438

MLA

Silva, Vanessa Sousa da et al. "Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data". Remote Sensing. 2020. 12(9). https://doi.org/10.3390/rs12091438

VancouverVancouver

Silva VSD, Silva CA, Mohan M, Cardil A, Rex FE, Loureiro GH et al. Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data. Remote Sensing. 2020 May 1;12(9). doi: 10.3390/rs12091438

Author

Silva, Vanessa Sousa da ; Silva, Carlos Alberto ; Mohan, Midhun et al. / Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data. In: Remote Sensing. 2020 ; Vol. 12, No. 9.

RIS

TY - JOUR

T1 - Combined Impact of Sample Size and Modeling Approaches for Predicting Stem Volume in Eucalyptus spp. Forest Plantations Using Field and LiDAR Data

AU - Silva, Vanessa Sousa da

AU - Silva, Carlos Alberto

AU - Mohan, Midhun

AU - Cardil, Adrián

AU - Rex, Franciel Eduardo

AU - Loureiro, Gabrielle Hambrecht

AU - Almeida, Danilo Roberti Alves de

AU - Broadbent, Eben North

AU - Gorgens, Eric Bastos

AU - Dalla Corte, Ana Paula

AU - Silva, Emanuel Araújo

AU - Valbuena, Rubén

AU - Klauberg, Carine

PY - 2020/5/1

Y1 - 2020/5/1

KW - LiDAR

KW - eucalyptus

KW - forest attributes

KW - machine learning

KW - variable selection

U2 - 10.3390/rs12091438

DO - 10.3390/rs12091438

M3 - Article

VL - 12

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

IS - 9

ER -