Correction to ‘Effects of outliers on remote sensing-assisted forest biomass estimation: A case study from the United States national forest inventory’
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引用次数: 0
Abstract
Knott, J. A., Liknes, G. C., Giebink, C. L., Oh, S., Domke, G. M., McRoberts, R. E., Quirino, V. F., & Walters, B. F. (2023). Effects of outliers on remote sensing-assisted forest biomass estimation: A case study from the United States national forest inventory. Methods in Ecology and Evolution, 14, 1587–1602. https://doi.org/10.1111/2041-210X.14084
In Section 5.1.4., ‘Estimating biomass per unit area using simple expansion and model-assisted estimators’, the formulae for Equation (1) and Equation (2) had incorrect denominators (n – 1).
Knott, J. A., Liknes, G. C., Giebink, C. L., Oh, S., Domke, G. M., McRoberts, R. E., Quirino, V. F., &;沃尔特斯,b.f.(2023)。离群值对遥感辅助森林生物量估算的影响:来自美国国家森林清查的案例研究。生态学与进化方法,14,1587-1602。https://doi.org/10.1111/2041-210X.14084In第5.1.4节。,“使用简单展开和模型辅助估算器估算单位面积生物量”,公式(1)和式(2)的分母(n - 1)不正确。
期刊介绍:
A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas.
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