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forestry survey
Through 3D LiDAR Scanners and automated measurement technology, the efficiency of forestry data collection is greatly improved, helping to build a high-precision and visual forest resource management system, making forestry surveys more efficient and accurate.
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Business pain points
• Traditional manual survey: Single tree measurement is slow and relies on the experience of investigators. It is difficult to fully cover tall trees and complex terrain. Field operations are intensive, long-term, and have high safety risks.
• Traditional optical remote sensing/drone monitoring: greatly affected by clouds and vegetation, it is difficult to obtain accurate parameters such as tree height, diameter at breast height, and crown structure. The data accuracy is limited, and understory vegetation cannot be effectively detected.
Usage scenarios
Forest resource inventory, tree growth monitoring, felling area survey, biomass estimation, forestry carbon sink measurement, pest and disease monitoring, forest stand structure analysis, wildlife habitat assessment.
solution
Digitizing forestry surveys
Using a handheld 3D LiDAR Scanner to quickly obtain high-precision 3D point cloud data of individual forest trees and forest stands, combined with intelligent forestry analysis algorithms, helps realize automated and precise surveys of forestry resources, making forest management more scientific and intelligent.
● Compared with traditional manual measurement, the efficiency is increased by more than 30 times
● Intelligent SLAM real-time positioning can carry out centimeter-level fine collection of tree trunks and crowns, and supports automatic identification of tree features.
● There is no need to set up stations or targets, and dynamic continuous scanning can be achieved to cover complex forest stands and terrain in one operation.
● Supports one-click generation of forest parameter reports, docking with forestry management systems and carbon sink trading platforms to form a closed business loop
hardware
SHARE SLAM S20 SE
Conventional forestry survey scenarios such as standard forest stand survey, plantation forest monitoring, and logging trace survey.
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SHARE SLAM S20
The protection of ancient and famous trees, monitoring of rare tree species, survey of scientific research plots and other scenarios that require extremely high accuracy of tree structures.
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SHARE SLAM S100
Large-area forest resources survey, mountainous forest land monitoring, national park census and other long-distance and complex terrain scenarios.
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Workflow
• Data collection: Operators hold 3D LiDAR Scanners and scan sample plots or survey areas to obtain high-precision 3D point cloud data of trees and forest stands in real time.
• Data governance: Import the collected data into SHARE PointClouds Studio, automatically complete trajectory calculation and denoising splicing, generate high-precision point clouds and import them into PCA forestry analysis software, automatically complete tree segmentation and feature extraction, and generate tree parameter and forest stand statistical reports.
• Application delivery: Import survey results into the forest resource management system or carbon sink measurement platform to provide accurate data support for forest management, carbon sink trading and ecological protection, forming a closed loop of data application.
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