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Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring

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

Standard Standard

Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. / Papa, Daniel de Almeida; Almeida, Danilo Roberti Alves de; Silva, Carlos Alberto et al.
In: Forest Ecology and Management, Vol. 457, 117634, 01.02.2020.

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

HarvardHarvard

Papa, DDA, Almeida, DRAD, Silva, CA, Figueiredo, EO, Stark, SC, Valbuena, R, Rodriguez, LCE & Oliveira, MVND 2020, 'Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring', Forest Ecology and Management, vol. 457, 117634. https://doi.org/10.1016/j.foreco.2019.117634

APA

Papa, D. D. A., Almeida, D. R. A. D., Silva, C. A., Figueiredo, E. O., Stark, S. C., Valbuena, R., Rodriguez, L. C. E., & Oliveira, M. V. N. D. (2020). Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. Forest Ecology and Management, 457, Article 117634. https://doi.org/10.1016/j.foreco.2019.117634

CBE

Papa DDA, Almeida DRAD, Silva CA, Figueiredo EO, Stark SC, Valbuena R, Rodriguez LCE, Oliveira MVND. 2020. Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. Forest Ecology and Management. 457:Article 117634. https://doi.org/10.1016/j.foreco.2019.117634

MLA

Papa, Daniel de Almeida et al. "Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring". Forest Ecology and Management. 2020. 457. https://doi.org/10.1016/j.foreco.2019.117634

VancouverVancouver

Papa DDA, Almeida DRAD, Silva CA, Figueiredo EO, Stark SC, Valbuena R et al. Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. Forest Ecology and Management. 2020 Feb 1;457:117634. doi: https://doi.org/10.1016/j.foreco.2019.117634

Author

Papa, Daniel de Almeida ; Almeida, Danilo Roberti Alves de ; Silva, Carlos Alberto et al. / Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring. In: Forest Ecology and Management. 2020 ; Vol. 457.

RIS

TY - JOUR

T1 - Evaluating tropical forest classification and field sampling stratification from lidar to reduce effort and enable landscape monitoring

AU - Papa, Daniel de Almeida

AU - Almeida, Danilo Roberti Alves de

AU - Silva, Carlos Alberto

AU - Figueiredo, Evandro Orfanó

AU - Stark, Scott C.

AU - Valbuena, Ruben

AU - Rodriguez, Luiz Carlos Estraviz

AU - Oliveira, Marcus Vinício Neves d'

PY - 2020/2/1

Y1 - 2020/2/1

KW - Forest management

KW - Amazon

KW - Airborne laser scanner

KW - Leaf area density

KW - Leaf area index

KW - Cluster analysis

U2 - https://doi.org/10.1016/j.foreco.2019.117634

DO - https://doi.org/10.1016/j.foreco.2019.117634

M3 - Article

VL - 457

JO - Forest Ecology and Management

JF - Forest Ecology and Management

SN - 0378-1127

M1 - 117634

ER -