How do our technologies make it work?
1.For monitoring large forest areas our system connects to satellites. Satellite data provides a broad overview of forest conditions and identifies major changes (deforestation or forest fires).
2.Drones and ground devices are deployed throughout the forest to collect data at various levels: drones collect high-quality data on forest conditions from above, while ground devices complement this with detailed information on forest structure. This allows for the assessment of biomass and and identification of violations and changes in forest areas.
3. Computer vision, enhanced with advanced training algorithms, is applied to analyze images from satellites, drones and ground devices automatically identifying trees, their species, condition, and other parameters. This technology significantly speeds up data analysis and allows for more accurate data recognition.
4.The LiDAR technology creates accurate 3D models of forests, measuring tree height, canopy density, biomass and other parameters with high precision.
5.Artificial Intelligence models process data from drones, LiDAR, and satellites, offering deep analysis of forest conditions, forecasting changes, and aiding in decision-making. AI calculates carbon storage, offering a comprehensive view of carbon sequestration and helping in managing carbon credits and environmental impact.
Forest parameters collected for analysis
1. Tree Count
2. Diameter at Breast Height (DBH)
3. Tree Height
4. Tree Species Identification
5. Tree Crown Detection
6. Biomass Estimation
7. Leaf Area Index (LAI)
8. Tree Health Assessment
9. Tree Age Estimation
10. Geotagging
11. Wood Density
12. Soil Carbon Content
These parameters collectively provide a comprehensive analysis of forest biomass and carbon storage, facilitating effective forest management and carbon credit calculations.
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