Towards Scaling-Up Three-Dimensional Habitat Structural Measurements with Multi-Sensor Remote Sensing

This dataset comprises of the results of habitat structural characterisation from terrestrial laser scanning (TLS), conducted using a FARO Focus M70 terrestrial laser scanner (Faro Technologies Inc., Lake Mary, USA) in 55 plots, across three habitats in La Réunion, France. A published algorithm (https://github.com/ehbrechtetal/Stand-structural-complexity-index---SSCI.git) was used to calculate the Stand Structural Complexity Index (SSCI), developed by Ehbrecht et al. (2017), derived from the Mean Fractal index (MeanFRAC) and the Effective Number of Layers (ENL). Other structural metrics such as canopy openness, canopy height, and an Understorey Complexity Index (UCI) were calculated. Aerial LiDAR from the IGN, France, 2025 were acquired to produce aerial lidar metrics. Sentinel-1 and Sentinel-2 satellite imagery were acquired from Copernicus Data Space Ecosystem (Kovács et al., 2026) to produce backscatter coefficients and reflectance data for the plots. The resulting computations are found in the associated "habitat_remotesensing_metrics.csv" file. Due to data deposit limitations, the processed scans (as .xyz files) are not deposited but are available on request. NB: Samantha Suter and Sarah Kabache ([e-mail]) are the data owners for this dataset. Recommended citation for this dataset: Suter, S., Ah-Peng, C., Kabache, S., Seidel, D., Strasberg, D., and Zemp, D.C., 2026. Towards Scaling-Up Three-Dimensional Habitat Structural Measurements with Multi-Sensor Remote Sensing. Dataset (V.1). Zenodo.10.5281/zenodo.19627146本数据集包含基于地面激光扫描（terrestrial laser scanning, TLS）获取的生境结构表征结果：扫描设备采用美国佛罗里达州玛丽湖市Faro科技公司生产的FARO Focus M70地面激光扫描仪，于法国留尼旺岛3类生境的55个样地内完成数据采集。本研究采用已发表的算法（https://github.com/ehbrechtetal/Stand-structural-complexity-index---SSCI.git），计算由Ehbrecht等人（2017）开发的林分结构复杂性指数（Stand Structural Complexity Index, SSCI），该指数由平均分形指数（Mean Fractal index, MeanFRAC）与有效层数（Effective Number of Layers, ENL）推导而来。此外还计算了冠层开度、冠层高度以及林下复杂性指数（Understorey Complexity Index, UCI）等其他生境结构指标。获取法国国家地理研究院（IGN）2025年发布的航空LiDAR数据，以生成航空激光雷达指标。从哥白尼数据空间生态系统（Kovács等，2026）获取Sentinel-1与Sentinel-2卫星影像，用于生成对应样地的后向散射系数与反射率数据。最终计算得到的所有指标均存储于配套的"habitat_remotesensing_metrics.csv"文件中。受数据存档限制，已处理的点云扫描文件（格式为.xyz）未随数据集一同上传，但可根据申请获取。 备注：本数据集的数据所有者为Samantha Suter与Sarah Kabache（联系邮箱：[e-mail]）。 本数据集推荐引用格式如下：Suter, S., Ah-Peng, C., Kabache, S., Seidel, D., Strasberg, D. 及 Zemp, D.C., 2026. 多传感器遥感支撑三维生境结构测量的规模化应用. 数据集（版本1）. Zenodo. 10.5281/zenodo.19627146