GIS LAB Logo

AI Based Tree Counting

AI-Based Tree Count Using Drone Video & Imagery

AI-based tree counting using drone video & imagery are reshaping forest conservation by providing an accurate, scalable and cost-effective way to monitor forest ecosystems. High-resolution aerial images captured by drones are processed using artificial intelligence to identify, count, and analyze individual trees across vast forested areas.

Enhancing Forest Analysis with Aerial Intelligence

AI-Powered Image Processing: Drones equipped with high-resolution cameras fly over forest areas to capture detailed aerial imagery. Advanced AI algorithms then analyze these images to detect tree crowns, estimate tree density, and classify tree types based on color, shape, and canopy structure. This method significantly reduces the time and effort required for manual tree surveys.

Digital Tree Mapping: By using AI to process drone imagery, each tree can be geo-referenced and visualized on digital maps. These maps provide real-time insights into forest composition, health, and coverage, supporting efficient and data-driven forest management practices.

Forest Coordinates and Aerial Surveying

Accurate Tree Location Tagging: When combined with GPS coordinates, drone imagery enables the precise mapping of tree locations. AI systems analyze the spatial data to generate detailed tree distribution maps, even in remote or difficult-to-reach regions.

Remote Area Assessment: Drone technology excels in surveying hard-to-access forest areas. AI processes this imagery to produce accurate tree counts, making it easier to monitor forest density and spot areas affected by degradation or deforestation.

AI Algorithms for Tree Detection and Health Monitoring

Machine Learning Models for Tree Counting:

AI models trained on thousands of drone images can accurately detect and count trees, even in dense forest conditions. These models continuously improve by learning from new image data, ensuring high accuracy across different forest types.

Vegetation and Canopy Change Detection:

By comparing drone images over time, AI can detect changes in tree cover and canopy health. This helps identify patterns of tree loss, disease spread, or natural growth, enabling better planning and conservation.