首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >SEPARATING THE GROUND AND AIRBORNE LASER SAMPLING PHASES TO ESTIMATE TROPICAL FOREST BASAL AREA, VOLUME, AND BIOMASS
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SEPARATING THE GROUND AND AIRBORNE LASER SAMPLING PHASES TO ESTIMATE TROPICAL FOREST BASAL AREA, VOLUME, AND BIOMASS

机译:分离地面和空中激光采样阶段,以估算热带森林的基础面积,体积和生物量

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Airborne laser profiling data were used to estimate the basal area, volume, and biomass of primary tropical forests. A procedure was developed and tested to divorce the laser and ground data collection efforts using three distinct data sets acquired in and over the tropical forests of Costa Rica. Fixed-area ground plot data were used to simulate the height characteristics of the tropical forest canopy and to simulate laser measurements of that canopy. On two of the three study sites, the airborne laser estimates of basal area, volume, and biomass grossly misrepresented ground estimates of same. On the third study site, where the widest ground plots were utilized, airborne and ground estimates agreed within 24%. Basal area, volume, and biomass prediction inaccuracies in the first two study areas were tied directly to disagreements between simulated laser estimates and the corresponding airborne measurements of average canopy height, height variability, and canopy density. A number of sampling issues were investigated; the following results were noted in the analyses of the three study areas. 1) Of the four ground segment lengths considered (25 m, 50 m, 75 m, and 100 m), the 25 m segment length introduced a level of variability which may severely degrade prediction accuracy in these Costa Rican primary tropical forests. This effect was more pronounced as plot width decreased. A minimum segment length was on the order of 50 m. 2) The decision to transform or not to transform the dependent variable (e.g., biomass) was by far the most important factor of those considered in this experiment. The natural log transformation of the dependent variable increased prediction error, and error increased dramatically at the shorter segment lengths. The most accurate models were multiple linear models with forced zero intercept and an untransformed dependent variable. 3) General linear models were developed to predict basal area, volume, and biomass using airborne laser height measurements. Useful laser measurements include average canopy height, all pulses ((h) over bar(a)), average canopy height, canopy hits ((h) over bar(c)) and the coefficients of variation of these terms (c(a) and c(c)). Coefficients of determination range from 0.4 to 0.6. Based on this research, airborne laser and ground sampling procedures are proposed for use for reconnaissance level surveys of inaccessible forested regions. (C) Elsevier Science Inc., 1997. [References: 28]
机译:机载激光轮廓分析数据用于估算原始热带森林的基础面积,体积和生物量。开发并测试了一种程序,该程序使用在哥斯达黎加热带森林中和热带森林上空采集的三个不同的数据集来分离激光和地面数据收集工作。固定区域的地块数据用于模拟热带森林冠层的高度特征,并模拟该冠层的激光测量结果。在三个研究站点中的两个站点上,机载激光对基础面积,体积和生物量的估计严重错误地表示了相同的地面估计。在第三个研究场地,利用了最宽的地块,机载和地面估计数相差24%。前两个研究区域的基础面积,体积和生物量预测的不准确性直接与模拟激光估计值和相应的机顶平均身高,身高变异性和冠层密度的航空测量值之间的分歧有关。调查了一些抽样问题;在三个研究领域的分析中,注意到以下结果。 1)在考虑的四个地面区段长度(25 m,50 m,75 m和100 m)中,25 m区段长度引入了一定程度的可变性,这可能会严重降低这些哥斯达黎加原始热带森林的预测准确性。随着图宽度的减小,这种影响更加明显。最小的段长约为50 m。 2)迄今为止,决定是否转换因变量(例如生物量)的决定是该实验中考虑的最重要因素。因变量的自然对数变换会增加预测误差,并且在较短的段长度处,误差会急剧增加。最准确的模型是带有强制零截距和未转换因变量的多个线性模型。 3)开发了通用线性模型,以使用机载激光高度测量来预测基础面积,体积和生物量。有用的激光测量包括平均冠层高度,所有脉冲((h)超过bar(a)),平均冠层高度,冠层命中率((h)超过bar(c))以及这些项的变化系数(c(a)和c(c))。测定系数为0.4至0.6。在这项研究的基础上,提出了机载激光和地面采样程序,用于无法访问的森林地区的勘测水平调查。 (C)Elsevier Science Inc.,1997年。[参考:28]

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