lidR

The lidR R package is a comprehensive open-source solution specifically developed for the advanced processing, analysis, and visualization of airborne LiDAR data. It offers a robust set of functionalities tailored to geospatial applications, with a strong emphasis on addressing the unique challenges and requirements within the domain of forestry. Users can leverage lidR for a wide array of tasks, ranging from fundamental point cloud filtering and classification to more sophisticated operations like the generation of high-resolution digital terrain models (DTMs) and digital surface models (DSMs).

A core strength of the lidR package lies in its specialized tools that directly support various forestry applications. This includes sophisticated algorithms for individual tree crown segmentation, the estimation of critical forest inventory attributes, and detailed analysis of forest structure and dynamics. The package is engineered to efficiently manage and process large LiDAR datasets, making it an invaluable tool for professional and research-oriented workflows that involve extensive, high-density LiDAR scans. Its design facilitates deep exploration and understanding of forest ecosystems.

Moreover, lidR integrates seamlessly within the R programming environment, providing users with extensive programmatic control and the flexibility to develop custom scripts and automated workflows. It supports a diverse range of common LiDAR data formats, ensuring broad compatibility. The package also offers powerful visualization capabilities, enabling users to interactively explore raw point clouds and various derived products, thereby fostering deeper insights into forest health, biomass, and other natural environment characteristics. Its open-source nature promotes community contributions and continuous development.