Wainiha Valley, HI, USA, 2012, SETSM DEM derived from WV imagery

This dataset contains raster DEMs over Wainihia Valley, HI USA produced from WorldView-01 stereo imagery acquired on 21January 2012 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.

本数据集包含美国夏威夷州怀尼希亚山谷的栅格数字高程模型（DEM），由2012年1月21日获取的WorldView-01立体影像生成。该影像通过表面提取从TIN空间搜索最小化（SETSM）算法进行处理。原始影像具有0.5米的分辨率，而SETSM算法采用2米的输出分辨率。数据集中的两个DEM分别包含一个未经滤波和一个经过局部表面滤波器（LSF）滤波的版本，分别以相应名称命名。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配准。关于该数据集的生成过程、用于构建栅格的图像以及配准操作的完整描述，可查阅相关文献。若使用本数据集，请引用该出版物：Atwood, Abra, 和A. Joshua West. "利用卫星影像评估高分辨率DEM在地貌学应用中的效果：SETSM算法的应用案例研究。"《地表过程与地貌》。2021年。本研究的资金支持来源于美国国家科学基金会（NSF）资助项目EAR1640894。