首页> 外文期刊>Photogrammetric Engineering & Remote Sensing: Journal of the American Society of Photogrammetry >Predicting Southeastern Forest Canopy Heights and Fire Fuel Models using GLAS Data
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Predicting Southeastern Forest Canopy Heights and Fire Fuel Models using GLAS Data

机译:使用GLAS数据预测东南森林冠层高度和火燃料模型

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The Geoscience Laser Altimeter System (GLAS) is a waveform lidar system carried on board the Ice, Cloud, and Elevation Satellite (iCESat). This study tested the use of GLAS data, from the L3e and L3g campaigns, to estimate total canopy height. GLAS footprint locations were sampled for reference data. The GLAS-derived and field-derived canopy heights portrayed good correlation (R~2 = 0.8354). This study also examined two representative fire fuel models within forests in East-Central Mississippi. GLASwaveforms were compared with field data for fire fuel models 9 and 10 of the fire fuel models described by Anderson (1982). GLAS data intensities were extracted and averaged to create predictive variables. Two variables were applied in Logistic regression to predict the probability of belonging to either fuel model (overall accuracy = 0.6875).
机译:地球科学激光测高仪系统(GLAS)是在冰,云和高程卫星(iCESat)上搭载的波形激光雷达系统。这项研究测试了L3e和L3g活动中GLAS数据的使用,以估算总树冠高度。对GLAS足迹位置进行采样以获取参考数据。 GLAS派生和田间派生的冠层高度具有良好的相关性(R〜2 = 0.8354)。这项研究还研究了密西西比州中东部森林中两种代表性的火燃料模型。将GLAS波形与Anderson(1982)描述的9号和10号火燃料模型的现场数据进行了比较。提取GLAS数据强度并取平均值,以创建预测变量。在Logistic回归中应用了两个变量来预测属于任一燃料模型的概率(总体精度= 0.6875)。

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