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Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation. / Valbuena, R.; Hernando, A.; Manzanera, J. A. et al.
In: Ecological Modelling, Vol. 366, 24.12.2017, p. 15-26.

Research output: Contribution to journalArticlepeer-review

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Valbuena, R, Hernando, A, Manzanera, JA, Gorgens, EB, Almeida, DRA, Mauro, F, Garcia-Abril, A & Coomes, DA 2017, 'Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation', Ecological Modelling, vol. 366, pp. 15-26. https://doi.org/10.1016/j.ecolmodel.2017.10.009

APA

Valbuena, R., Hernando, A., Manzanera, J. A., Gorgens, E. B., Almeida, D. R. A., Mauro, F., Garcia-Abril, A., & Coomes, D. A. (2017). Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation. Ecological Modelling, 366, 15-26. https://doi.org/10.1016/j.ecolmodel.2017.10.009

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MLA

VancouverVancouver

Valbuena R, Hernando A, Manzanera JA, Gorgens EB, Almeida DRA, Mauro F et al. Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation. Ecological Modelling. 2017 Dec 24;366:15-26. doi: 10.1016/j.ecolmodel.2017.10.009

Author

RIS

TY - JOUR

T1 - Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation

AU - Valbuena, R.

AU - Hernando, A.

AU - Manzanera, J. A.

AU - Gorgens, E. B.

AU - Almeida, D. R. A.

AU - Mauro, F.

AU - Garcia-Abril, A.

AU - Coomes, D. A.

PY - 2017/12/24

Y1 - 2017/12/24

KW - Model assessment

KW - Overfitting

KW - Theil's partial inequality coefficients

KW - LIDAR

U2 - 10.1016/j.ecolmodel.2017.10.009

DO - 10.1016/j.ecolmodel.2017.10.009

M3 - Article

VL - 366

SP - 15

EP - 26

JO - Ecological Modelling

JF - Ecological Modelling

SN - 0304-3800

ER -