We present a comprehensive UAV-based dataset combining LiDAR and multispectral imagery over five certified reclaimed wellsites (each ~100 m × 100 m) near Grande Prairie, Alberta (55° 10′ 15″ N, 118° 47′ 46″ W). Data were acquired on three dates—August 2023, October 2023, and May 2024—using a DJI Zenmuse L1 LiDAR sensor and a MicaSense RedEdge-P multispectral camera.
The LAZ files include georeferenced, RGB-colored point clouds from the L1 sensor, with per-point reflectance in five spectral bands—blue, green, red, red-edge, and near-infrared—interpolated from the RedEdge-P imagery. Please note that multispectral reflectance is unavailable for Wellsite 442 in May 2024. Each point is manually annotated as vegetation or ground, and we also provide CSV files containing the manually corrected 3D coordinates of individual tree tops.
This dataset supports the development and evaluation of algorithms for individual-tree detection, vegetation filtering, and long-term monitoring of revegetation in post-reclamation landscapes.