Coyote Mountains CA, USA, 2016, SETSM DEM derived from WV imagery

This dataset contains raster DEMs over Coyote Mountains, CA USA produced from WorldView-01 stereo imagery acquired on 21July 2016 produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. The two DEMs in the dataset contain one unfiltered and one filtered with a local surfacing filter (LSF), each are named as such. Both were then co-registered to LiDAR following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. "Evaluation of high‐resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm." Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR‐1640894 to AJW.

本数据集收录了美国加利福尼亚州科伊特山脉的栅格数字高程模型（DEM），该模型由WorldView-01立体影像于2016年7月21日获取并制作而成，采用表面提取自TIN空间搜索最小化（SETSM）算法生成。原始影像分辨率为0.5米，而SETSM算法以2米输出分辨率应用。数据集中包含两个DEM，分别未经滤波和经过局部表面滤波器（LSF）滤波，均按此命名。随后，两者均按照Nuth和Kaab于2011年提出的地理定位程序与激光雷达进行共定位。关于本数据集的生成过程、构建栅格所使用的影像以及共定位方法的具体描述，可查阅相关论文。如使用此数据集，请引用该出版物：Atwood, Abra, 和 A. Joshua West. "卫星影像生成高分辨率DEM在地貌应用中的评估：使用SETSM算法的案例研究。" 地表过程与地貌。2021。本研究得到美国国家科学基金会（NSF）资助项目EAR1640894的支持。