Impact of training on different observers in forest inventory

P. Paudel, P. Beckschäfer, C. Kleinn
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引用次数: 1

Abstract

Observers with different experience levels are involved in the measurement of large number of sample plots during forest inventories, particularly in national forest inventories. However, limited information exist on the quality of data produced by different observers in forest inventory after certain levels of training. This study tries to evaluate the measurement error in forest inventory associated with observers' experience after initial and field-based training for measuring the most fundamental variables- DBH (cm), total tree height (m), and horizontal distance (m) together with bearing (azimuth) to tree from the plot-centre. On completing the second level of training, the mean of the differences in DBH measurement decreased for both the ‘experienced’ and ‘inexperienced’ groups. The mean of the differences in height measurement in the case of the experienced observers was very low as compared to the inexperienced ones. However, the mean of the differences in azimuth measurement showed that the experienced groups were overestimating by at least 1 degree. There was no trend in deviation of measurement for all four variables regardless of tree size. The decrease in the mean and error of differences in measurements after second training showed that field-based training with supervision and training on the use of instruments at laboratories were required for inexperienced surveyors whereas update in working and measurement procedure would be sufficient for the experienced ones.
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培训对森林清查中不同观察员的影响
在森林清查期间,特别是在国家森林清查中,具有不同经验水平的观察员参与了对大量样地的测量。然而,关于不同观察员经过一定程度的培训后在森林清查中产生的数据质量的信息有限。本研究试图评估森林清查中与观察者在最初和实地训练后的经验相关的测量误差,以测量最基本的变量——DBH(cm)、树木总高度(m)、水平距离(m)以及从绘图中心到树木的方位角(方位角)。在完成第二级训练后,“有经验”组和“无经验”组的DBH测量差异的平均值都有所下降。与没有经验的观察者相比,经验丰富的观察者的身高测量差异的平均值非常低。然而,方位测量差异的平均值表明,有经验的小组高估了至少1度。无论树的大小,所有四个变量的测量都没有偏差趋势。第二次培训后测量差异的平均值和误差的减少表明,缺乏经验的测量员需要进行实地培训,并在实验室监督和培训仪器的使用,而有经验的测量人员则需要更新工作和测量程序。
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