Airborne Estimation of Boreal Forest LAI in Winter Conditions: A Test Using Summer and Winter Ground Truth
作者： Terhikki Manninen , Lauri Korhonen , Pekka Voipio , Panu Lahtinen , Pauline Stenberg
DOI: 10.1109/TGRS.2011.2173939
关键词: Ground truth 、 Snow 、 Leaf area index 、 Forest floor 、 Atmospheric sciences 、 Taiga 、 Vegetation 、 Meteorology 、 Standard deviation 、 Environmental science 、 Linear regression
摘要: A recently developed airborne method for estimation of leaf area index (LAI) in coniferous forests is used comparing the LAI values summer and winter conditions. The measurements based on a wide-optic camera are carried out when forest floor completely snow covered thus acts as light background image analysis. photographs taken automatically stored laptop during flights. R2 value linear regression between ground-based was 0.97 all plots. Despite unfavorable weather conditions, average difference regression-based estimates 0.08, 90% cases, it smaller than 0.13. corresponding relative differences were 14% 23%. standard deviation measured within plot was, average, same order. winter-time trees estimated to be 24% preceding summer-time values.
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