Tracking magma spine extrusion from space: Implications for conduit and topography complexity at Shiveluch volcano, Kamchatka - Photogrammetric data repository

This is a dataset relevant for a paper on lava spine extrusion at Shieveluch volcano, Kamchatka. Data was used to show that the spine elongates along a previously identified fracture line and bends to a preferred northerly direction. By repeated morphology analysis and feature tracking, we constrain a spine diameter of ~300 m, extruding at a velocity of 1.7 m/day and discharge rate of 0.3-0.7 m³/s. Results are relevant for understanding the growth and collapse hazards of spines and provide unique insights into the hidden magma-conduit architecture. The data consists of three parts. First, we provide the filtered and corrected three dimensional point clouds generated from Pleiades tristereo data. These 3D point clouds were co-aligned and now allow analysing subtle changes. Point clouds are provided in .las format. Second, we provide the filtered and corrected digital elevation models generated from the point cloud data, these DEMs are provided in geotiff format. The name of the files indicates the dates of their acquisition. Third and lastly, we provide an orthomap stack used to estimate displacements by tracking offsets.

本数据集服务于一篇针对堪察加半岛希韦卢奇火山（Shieveluch volcano）熔岩尖脊（lava spine）挤出过程的研究论文。本数据集用于验证该熔岩尖脊沿已识别断裂带延伸，并向优势北向弯曲的结论。通过反复开展形貌分析与特征追踪，我们限定该熔岩尖脊直径约为300米，挤出速率为1.7米/天，喷发通量介于0.3~0.7立方米/秒。本研究结果可为理解熔岩尖脊的生长与垮塌灾害提供支撑，并为揭示隐伏岩浆通道结构提供独特研究视角。
数据集包含三部分内容：其一为基于Pleiades三立体影像数据生成并经滤波与校正处理的三维点云，该批点云已完成协同配准，可用于分析细微形貌变化，数据格式为.las；其二为基于上述点云数据生成并经滤波与校正处理的数字高程模型（digital elevation models, DEM），数据格式为GeoTIFF，文件名标注了影像获取日期；其三为正射影像栈，可通过追踪偏移量实现位移量估算。