TriMapter - A UAV Platform with LiDAR VLP-16 and Parrot Sequoia MX - Data for 3D Mapping and Surveying Application

The integration of LiDAR point cloud data with multispectral imagery is a growing area of interest for high-resolution 3D mapping, urban landcover classification, precision agriculture, and forestry applications. However, acquiring co-registered datasets from these two modalities over the same spatial extent remains a challenge due to differences in sensor characteristics and platform configurations. To address this, we introduce TriMapter, a custom-designed UAV-based aerial survey system equipped with the Velodyne VLP-16 LiDAR sensor and the Parrot Sequoia+ MX multispectral camera. This system enables synchronized data acquisition for enhanced scene understanding and multi-modal data fusion research.The dataset includes synchronized LiDAR point clouds and multispectral imagery acquired from two representative locations in India: (1) a semi-arid dryland area interspersed with sparse vegetation and trees, and (2) an active agricultural zone with distinct crop patterns. These datasets are ideal for developing and benchmarking algorithms in 3D reconstruction, vegetation segmentation, spectral-LiDAR fusion, and precision mapping.This open-access dataset is intended to facilitate research in remote sensing, geospatial analytics, and UAV-based mapping systems. The dataset is accompanied by metadata, sensor specifications, calibration information, and sample visualization outputs.