Enhancing of accuracy assessment for forest above-ground biomass estimates obtained from remote sensing via hypothesis testing and overfitting evaluation
Research output: Contribution to journal › Article › peer-review
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In: Ecological Modelling, Vol. 366, 24.12.2017, p. 15-26.
Research output: Contribution to journal › Article › peer-review
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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 -