High resolution hydric soil mapping using LiDAR digital terrain modeling.
High resolution hydric soil mapping using LiDAR digital terrain modeling.
复制标题
使用激光雷达数字地形建模进行高分辨率含水土壤测绘。
DOI：
10.2136/sssaj2015.07.0270
复制
发表时间：
2016
影响因子：
2.9
通讯作者：
P. Drohan
中科院分区：
文献类型：
--
作者：
Cody M. Fink;P. Drohan
最近在宾夕法尼亚州获得的1米激光成像、探测和测距（LiDAR）数据提供了一个高分辨率数字高程模型（DEM），可以改进现有的USDA-NRCS Order 2土壤调查制图。利用激光雷达衍生的地形指数预测阿巴拉契亚北部水化土壤存在的能力进行了评估。我们开发了一个逻辑回归模型来预测水化土壤的存在，该模型使用了1153个现场数据点的数据集和来自LiDAR dem的几个地形指数。表现最好的回归模型包括1米LiDAR DEM得出的坡度、5米LiDAR DEM得出的洼地和地理区域。该模型能够从验证数据集中成功预测67%的含水土壤和73%的非含水土壤。该模型对非水化土壤的预测效果优于水化土壤，但对低坡度地区的预测效果较差。这表明，研究中使用的1米激光雷达水文变量不能完全解释土壤水文状态。
The recent availability of 1-m laser imaging, detection, and ranging (LiDAR) data in Pennsylvania provides a high resolution digital elevation model (DEM) which could improve on existing USDA-NRCS Order 2 soil survey mapping. The ability of LiDAR derived terrain indices to predict hydric soil presence was evaluated across the Northern Appalachians. We developed a logistic regression model to predict hydric soil presence using a dataset of 1153-field data points and several terrain indices derived from LiDAR DEMs. The best performing regression model included slope derived from a 1-m LiDAR DEM, depressions derived from a 5-m LiDAR DEM, and physiographic region. This model was able to successfully predict 67% of hydric soils and 73% of non-hydric soils from a validation dataset. The model performed better at predicting non-hydric soils compared with hydric soils and was not as effective in low slope areas. This suggests that the 1-m LiDAR hydrologic variables used in the study cannot completely account for soil hydric status.