首页> 外文会议>Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International >Vegetation height derivation from Shuttle Radar Topography Mission data in southeast Georgia, USA
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Vegetation height derivation from Shuttle Radar Topography Mission data in southeast Georgia, USA

机译:从美国佐治亚州东南部的航天飞机雷达地形任务数据得出的植被高度

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A study was conducted to determine the extent to which data from the 2000 Shuttle Radar Topography Mission (SRTM) can be used to estimate vegetation canopy height in conjunction with an existing bald Earth DEM as provided by the National Elevation Dataset (NED). Intensively managed slash pine stands with canopy heights ranging from 11 to 21 m were biometrically surveyed within the general mission timeframe in early 2000. Results indicate that SRTM data can be successfully correlated via linear regression modeling with ground-measured mean vegetation canopy height at the stand level when mean SRTM-NED height difference measures are extracted by averaging pixels within the stands. Regression analysis using 20 and 50 pixels as stand size thresholds yielded adjusted r/sup 2/ values of 0.79 and 0.86 with rms errors of 1.1 m and 1.0 m respectively. Thus a minimum SRTM mapping unit of approximately 1.8 hectares can be postulated which allows vegetation canopy height retrieval at the stand scale.
机译:进行了一项研究,以确定与国家高程数据集(NED)提供的现有秃头地球DEM结合使用的2000 Shuttle雷达地形任务(SRTM)的数据可用于估计植被冠层高度的程度。在2000年初的总体任务时间范围内,通过生物特征调查了冠层高度为11至21 m的集约化管理的阔叶松林林分。结果表明,SRTM数据可以通过线性回归建模与该林分地面实测植被冠层高度成功相关联平均SRTM-NED高度差测量值通过对看台内像素进行平均来提取的水平。使用20和50像素作为林分大小阈值的回归分析得出调整后的r / sup 2 /值为0.79和0.86,均方根误差分别为1.1 m和1.0 m。因此,可以假定最小的SRTM映射单位约为1.8公顷,从而可以按林分尺度检索植被冠层高度。

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