Belgian Earth Observation’s Post

A short video showcasing the new functionality with real-time harvester head tracking (beta) on a harvester that is cutting down two trees. We believe this feature will be a key for future precision forestry and used for geofencing and helping the operator to localize individual trees that should be cut or not cut in the forest. This functionality is created only using input data from the LIDAR sensor and modern AI algorithms, hence it can be retro-fitted to any harvester regardless of brand and age. In the long-term, we believe this will also be a key component in the process of automating more and more of the harvester’s movements.

Strategic planning in forestry is entering a new era with the integration of #LiDAR technology. At Clear Timber Analytics, our LiDAR based forest inventory provides unparalleled precision, revolutionizing how foresters plan, decide, and act. 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗽𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻: Comprehensive Tree Measurement: LiDAR captures detailed data for each tree, enabling insights into growth variations within stands. Simulation and Modeling: Utilize LiDAR data to model and simulate forest growth, calculating the perfect moment to harvest sustainably and efficiently. Optimal Harvesting: Harvest only trees ideal for sawmill operations, promoting sustainability and maximizing resource use. Explore the transformative potential of LiDAR inventory for your forest planning and decision-making. For a comprehensive understanding of how our LiDAR technology can integrate into your practices, book a demo with us today. https://lnkd.in/enpPv_X7 #forestmapping #forestAI #digitaltwin

Did you know that Flai is revolutionizing forest management with AI? 🌲 By integrating AI with LiDAR point cloud data, Flai offers a fast and accurate way to assess forest damage. This innovative approach not only enhances decision-making in forestry but also supports sustainable management practices by providing detailed insights that were previously difficult to obtain. Discover how AI can transform your approach to forestry and conservation with Flai’s cutting-edge solutions. 💡 #AI #Forestry #Sustainability #Innovation #Flai Learn more here: https://lnkd.in/djf4N5_n

LiDAR (Light Detection and Ranging) technology is highly effective for collecting detailed ground data, even in dense forests. By using laser pulses to measure distances between the sensor and the Earth's surface, LiDAR can penetrate tree canopies and capture data below them. This capability is invaluable in complex environments where traditional surveying methods may fail. The high density of LiDAR point clouds creates rich datasets that accurately represent terrain and vegetation structures. This method operates efficiently within a short timeframe, making it essential for applications such as forestry management, habitat mapping, and environmental monitoring, ensuring reliable ground data despite dense vegetation. CHARIS UAS

1️⃣ Long-Range LiDAR Mapping: The Power of Hovermap ST-X If you’re working on projects where range and detail are critical, the Emesent Hovermap ST-X is your ultimate ally. Here’s why: 🔹 Extended LiDAR Range The ST-X captures data up to an impressive 300 metres away, a significant leap in coverage. This capability allows surveyors to map extensive areas in record time, from deep underground tunnels to sprawling industrial sites. 🔹 Unrivalled Data Acquisition With 32 laser channels, it delivers 1.92 million points per second in multi-return mode, creating ultra-dense point clouds. This density ensures even the smallest details—like fine structural elements or intricate vegetation—are captured accurately. 🔹 Real-World Benefits Imagine mapping a kilometre of mine tunnels or a large forest canopy in a single flight or walkthrough. The Hovermap ST-X makes it possible without compromising data quality. Whether you’re in mining, forestry, or urban infrastructure, the Hovermap ST-X ensures you’re working with comprehensive, reliable data every time. Oh and if you haven't already, sign up for your chance to win a Golden Hovermap. #LiDAR #HovermapSTX #Surveying #MiningTech #Forestry #UrbanPlanning #Innovation #Technology #Geospatial #3DMapping #Infrastructure #DroneMapping #AutonomousMapping #SmartSurveying #FutureOfMapping #Engineering #AerialMapping #DataDriven #PointClouds #Automation #PrecisionMapping #DigitalTwins #UndergroundMapping #IndustrialInnovation #STEM #MappingSolutions #ConstructionTechnology #GIS #SmartMines #AdvancedTech #Robotics #MappingExcellence

In today's era of advanced technology, LiDAR data is revolutionizing the way we understand and manage our forests. By utilizing drone-mounted LiDAR systems, we can capture incredibly detailed point cloud data, transforming forestry surveying and ecological research. Lidar technology allows us to: ➡️Precisely map forests and determine the location and dimensions of trees. ➡️Calculate essential metrics like canopy height and forest stocking. ➡️Estimate biomass volume for sustainable management. One of the most impactful applications is assessing carbon sinks and sequestration. By extracting individual trees from Lidar scans, we can stimate forest biophysical properties, vital for understanding carbon stocks and enhancing climate strategies. Currently labor-intensive practices are used to collect this data but with advances in Drone technology and AI, we can easily streamline these processes, making forest management more efficient and effective. Let's leverage these technologies to sustainably manage our forests and combat climate change. #Lidar #AI #DroneTech #Dronesforgood #Forestry #CarbonSequestration #Sustainability #ClimateAction

For #LIDAR and #AI experts who can translate this to the #military #targeting and / or #camouflage, #concealment and #deception business: "𝘼𝙘𝙘𝙪𝙧𝙖𝙩𝙚𝙡𝙮 𝙞𝙙𝙚𝙣𝙩𝙞𝙛𝙮𝙞𝙣𝙜 𝙩𝙧𝙚𝙚 𝙨𝙥𝙚𝙘𝙞𝙚𝙨 𝙞𝙨 𝙘𝙧𝙪𝙘𝙞𝙖𝙡 in digital forestry....The experimental data for two sites were obtained using the RIEGL VQ-780i airborne LiDAR on a Cessna C207 aircraft. While collecting data, the aircraft maintained a speed of 5 m/s at an absolute 𝗳𝗹𝗶𝗴𝗵𝘁 𝗵𝗲𝗶𝗴𝗵𝘁 𝗼𝗳 𝟲𝟱𝟬 𝗺. When assessing solely the geometric features globally, misjudgment may occur... however, 𝗗𝗦𝗧𝗖𝗡’𝘀 𝗳𝗲𝗮𝘁𝘂𝗿𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝘀 𝗯𝗮𝘀𝗲𝗱 𝗼𝗻 𝘁𝗵𝗲 𝗶𝗻𝗱𝗶𝘃𝗶𝗱𝘂𝗮𝗹 𝘁𝗿𝗲𝗲 𝘀𝗹𝗶𝗰𝗲 𝗹𝗲𝘃𝗲𝗹, which provides a more detailed analysis... Therefore, it can rapidly achieve 𝗵𝗶𝗴𝗵 𝗮𝗻𝗱 𝗯𝗮𝗹𝗮𝗻𝗰𝗲𝗱 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗽𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻, and display excellent"robustness and generalization. https://lnkd.in/dR_JHzus

Experience the power of the SLAM100 Handheld Scanner—perfect for capturing detailed 3D scans in complex environments like forests. With a wide 270°x360° Lidar field of view and 2cm relative accuracy, the SLAM100 ensures you get the most accurate data, even in dense, hard-to-reach areas. 🔑 Key Features: 📡 360° Lidar Scanning for comprehensive data collection. 🤚 Handheld Mode for flexibility and mobility. 🌳 Efficient Forest Scanning for large outdoor areas. 🖼️ Detailed Point Cloud Generation with unmatched precision. Whether you're mapping landscapes or surveying environments, the SLAM100 paired with Insta360 delivers high-quality results. Perfect for professionals in surveying, forestry, and environmental research. #SLAM100 #LidarScanning #HandheldScanner #PointCloud #ForestScanning #3DMapping #SurveyingTech #highprecision Discover More: https://lnkd.in/gRvMRNR9

A video showing a Big Island Tree Service mobile lidar collection for vegetation management and utility inspection. #lidar #hawaii #bigisland #kona #maui #oahu #molokai #kauai #dronelidar #geospatial #forestry #forestmanagement #utility #safety #powerline #gis #gismap #mapping #power #electricity

Unlocking Vegetation Insights: Voxelization vs. Growth Models Understanding vegetation growth is crucial for ecology and forestry. Growth models simulate biological processes but rely on numerous complex parameters that are difficult to model and require specialized expertise. A simpler alternative is to use voxelization of Lidar data. What is Voxelization? Voxelization divides 3D Lidar data into a grid of cubes (voxels), capturing vegetation structure over time without modeling biological processes. Why Voxelization? 💥 Simplicity: Easy to implement without specialized knowledge. 💥 Scalability: Handles large datasets efficiently. 💥 Insights: Directly measures canopy density and structural changes. #Lidar#Voxelization#GrowthModeling