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Modeling statistical performance of an airborne lidar survey system foranchovy

机译:机载cho鱼机载激光雷达测量系统的统计性能建模

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The objective of our study was to model the performance of an airborne lidar survey system for northern anchovy in terms of survey accuracy and precision. Our analyses indicated that swath width would have little or no effect on the probability that at least one fish school would be encountered. In typical coastal waters off California (attenuation coefficient=0.1/m), about half of the schools were detected by the lidar during the day and about 64% during the night. A greater proportion of schools were detected during the night because anchovy have a shallow vertical distribution, whereas in the day, schools may extend down to 155 m; schools below about 40 m depth were not detectable to the laser. Although schools tended to be more diffuse during the night than during the day, even the very diffuse schools of anchovy (0.5 fish/m(3)) were detectable at night throughout the upper 20 m of the water column with a lidar. With a substantial increase in instrument and survey costs, it would be possible to increase the equivalent laser-pulsed power by a factor of 10 over that of the "off-the-shelf system," as used in our model. Such a change would increase the maximum detection depth of the lidar system by about 10 m but would have a negligible effect on the probability of detecting schools during the day owing to the skewed vertical distribution of anchovy schools. More effective approaches for improving the accuracy and precision of potential lidar surveys for fisheries would be to improve school detection algorithms and to develop a lidar survey model based on line transect theory to obtain an unbiased estimate of abundance. To produce an accurate reconstruction of the average vertical distribution of schools for a particular season and region, a synthesis of acoustic and lidar surveys of school distribution is required.
机译:我们研究的目的是就北方accuracy鱼的机载激光雷达测量系统的性能进行建模,以确保测量的准确性和准确性。我们的分析表明,条幅宽度对遇到至少一所鱼群的可能性几乎没有影响。在加利福尼亚以外的典型沿海水域(衰减系数= 0.1 / m),白天约有一半的学校被激光雷达探测到,而夜间约有64%的学校被探测到。由于an鱼的垂直分布较浅,因此在夜间发现了更多的学校,而在白天,学校可能会延伸至155 m。低于40 m深度的学校无法被激光探测到。尽管在夜间,学校比在白天更容易扩散,但即使在晚上,在整个带激光雷达的水柱上方20 m,甚至可以检测到非常分散的schools鱼(0.5鱼/米(3))。随着仪器和测量成本的大幅增加,有可能将等效的激光脉冲功率增加到我们模型中使用的“现成系统”的10倍。这种变化将使激光雷达系统的最大探测深度增加约10 m,但由于an鱼学校的垂直分布偏斜,因此对白天探测学校的概率的影响可以忽略不计。提高渔业潜在激光雷达调查的准确性和精度的更有效方法是改进学校检测算法,并基于线样线理论开发激光雷达调查模型,以获得无偏差的丰度估计。为了对特定季节和地区的学校平均垂直分布进行准确的重建,需要对学校分布进行声学和激光雷达测量的综合。

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