Application and Validation of a Model for Terrain Slope Estimation Using Space-Borne LiDAR Waveform Data
Application and Validation of a Model for Terrain Slope Estimation Using Space-Borne LiDAR Waveform Data
复制标题
利用星载 LiDAR 波形数据进行地形坡度估计的模型的应用和验证
DOI：
10.3390/rs10111691
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发表时间：
2018-10
期刊：
影响因子：
5
通讯作者：
Haiming Qin
中科院分区：
文献类型：
--
作者：
Xuebo Yang;Cheng Wang;Sheng Nie;Xiaohuan Xi;Zhenyue Hu;Haiming Qin
地形坡度是量化地表过程最重要的地表特征之一。星载激光雷达传感器在足迹内产生高精度和大面积的地形测量。然而，由于估计的坡度可能受到足迹大小、形状、方向和地形方面的影响，因此需要严格的程序来准确估计地形坡度，特别是在大足迹范围内。因此，基于多个可用数据集，我们探索了所提出的地形坡度估计模型在多个研究地点和各种足迹形状上的性能。利用本文提出的方法和另外5种方法从ICESAT/GLAS波形数据中获得地形坡度。与其他五种方法相比，该方法考虑了足迹形状、方向和地形向对地形坡度估计的影响。机载LiDAR实测数据验证表明，该方法优于其他5种方法（R2 = 0.829，增大~0.07,RMSE = 3.596°，减小~0.6°，n = 858）。此外，更多的统计数据表明，该方法显著提高了高起伏区（RMSE = 5.180°，减小~1.8°，n = 218）和大偏心足迹区（RMSE = 3.421°，减小~1.1°，n = 313）的地形坡度估计精度。因此，从这些实验中我们可以得出结论，这种地形坡度估计方法在实践中适用于不同地形和不同足迹形状，并且估计精度的提高与地形坡度和足迹偏心率有明显的关系。
The terrain slope is one of the most important surface characteristics for quantifying the Earth surface processes. Space-borne LiDAR sensors have produced high-accuracy and large-area terrain measurement within the footprint. However, rigorous procedures are required to accurately estimate the terrain slope especially within the large footprint since the estimated slope is likely affected by footprint size, shape, orientation, and terrain aspect. Therefore, based on multiple available datasets, we explored the performance of a proposed terrain slope estimation model over several study sites and various footprint shapes. The terrain slopes were derived from the ICESAT/GLAS waveform data by the proposed method and five other methods in this study. Compared with five other methods, the proposed method considered the influence of footprint shape, orientation, and terrain aspect on the terrain slope estimation. Validation against the airborne LiDAR measurements showed that the proposed method performed better than five other methods (R2 = 0.829, increased by ~0.07, RMSE = 3.596°, reduced by ~0.6°, n = 858). In addition, more statistics indicated that the proposed method significantly improved the terrain slope estimation accuracy in high-relief region (RMSE = 5.180°, reduced by ~1.8°, n = 218) or in the footprint with a great eccentricity (RMSE = 3.421°, reduced by ~1.1°, n = 313). Therefore, from these experiments, we concluded that this terrain slope estimation approach was beneficial for different terrains and various footprint shapes in practice and the improvement of estimated accuracy was distinctly related with the terrain slope and footprint eccentricity.
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影响因子：
13.5
作者：
M. Wulder;Joanne C. White;R. Nelson;E. Næsset;H. Ørka;N. Coops;T. Hilker;C. Bater;T. Gobakken-
通讯作者：
M. Wulder;Joanne C. White;R. Nelson;E. Næsset;H. Ørka;N. Coops;T. Hilker;C. Bater;T. Gobakken-
影响因子：
1.9
作者：
A. P. Dimri
通讯作者：
A. P. Dimri
DOI：
10.1016/j.isprsjprs.2014.08.011
发表时间：
2014-11-01
影响因子：
12.7
作者：
James, M. R.;Robson, S.
通讯作者：
Robson, S.
DOI：
10.1109/igarss.2010.5650555
发表时间：
2010-07
期刊：
2010 IEEE International Geoscience and Remote Sensing Symposium
影响因子：
--
作者：
M. Studinger;L. Koenig;Seelye Martin;J. Sonntag
通讯作者：
M. Studinger;L. Koenig;Seelye Martin;J. Sonntag
影响因子：
13.5
作者：
N. Stevens;H. Garbeil;P. Mouginis-Mark
通讯作者：
N. Stevens;H. Garbeil;P. Mouginis-Mark