A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System
A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System
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DOI：
10.1029/2010gl043622
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发表时间：
2010-08-05
影响因子：
5.2
通讯作者：
Lefsky, Michael A.
中科院分区：
文献类型：
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作者：
Lefsky, Michael A.
激光雷达的价值来自于其绘制生态系统垂直结构的能力，可用于估计地上碳储量。星载激光雷达传感器沿沿着断面收集数据，并在与具有完整水平覆盖的数据源相结合时为全球变化科学界带来价值。需要对这类分析的数据来源和方法进行评价。在这项工作中，我们使用500米的中分辨率成像光谱仪（MODIS）数据的图像分割，以产生一个全球地图的440万森林斑块。当地球科学激光高度计系统（GLAS）样带与斑块相交时，其高度直接从GLAS观测值计算。然后使用回归分析来估计没有GLAS观测的那些斑块的高度。回归拟合优度统计表明中等强的关系预测第90百分位补丁高度，平均RMSE为5.9米，平均相关性（R-2）为0.67。作者：Lefsky，M. a.（2010年），来自中分辨率成像光谱仪和地球科学激光高度计系统的全球森林冠层高度图，Geophys。保留信函：37，L15401，doi：10.1029/2010GL043622。
The value of lidar derives from its ability to map ecosystem vertical structure which can be used to estimate aboveground carbon storage. Spaceborne lidar sensors collect data along transects and gain value for the global change science community when combined with data sources that have complete horizontal coverage. Data sources and methods for this type of analysis require evaluation. In this work we use image segmentation of 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) data to produce a global map of 4.4 million forest patches. Where a Geoscience Laser Altimeter System (GLAS) transect intersects a patch, its height is calculated from the GLAS observations directly. Regression analysis is then used to estimate the heights of those patches without GLAS observations. Regression goodness-of-fit statistics indicate moderately strong relationships for predicting the 90th percentile patch height, with a mean RMSE of 5.9 m and mean correlation (R-2) of 0.67. Citation: Lefsky, M. A. (2010), A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience Laser Altimeter System, Geophys. Res. Lett., 37, L15401, doi: 10.1029/2010GL043622.