XST-LiDARNet In Situ Eco-Lidar

北京星视图科技有限公司自主研发的XST-LiDARNet原位生态激光雷达系统可以野外生态环境中持续性扫描目标区域、更精确反映植被动态、保持观测连续、时间分辨率可达到小时、数据原位观测,无需考虑点云几何位置配准问题、有效利用时序信息、准确捕捉植被生长变化。

software system

Raw data:Binary structured data is a 3D point cloud map consisting of a series of XYZ coordinate information;

Point cloud data processing:Processes such as 3D coordinate transformation, noise point removal, intraday point cloud data synthesis, point cloud ground filtering, wind speed filtering, etc., combined with human judgment filtering (e.g., tower, bracket base, etc., can be manually cropped at once during installation);

Optimization of structural parameter extraction algorithms:Optimal rasterized canopy height extraction model; Estimating the daily change of vegetation volume based on volumetric surface differencing and obtaining vegetation temporal change characteristics.

laser wavelength905nm
human eye safety levelClass 1 (IEC 60825-1:2014)
测距量程(@100klx)150m @10%反射率;最小测距1米,建议3米以上
测距随机误差()<2cm@20m (80% reflectance)
Ranging system error<±3cm@20m
field of view120° horizontal, 25° vertical
angular random error<0.1°
Point cloud output452,000 points/second
Operating Temperature-40℃~85℃
Radar protection levelIP66
Running Power ConsumptionRated 12W; Start 26W; Maximum low-temperature heating power 40W; Supply voltage: 9~18V
Data processing softwareBuilt-in online data processing program
Measurable parameters三维点云数据、冠层高度(平均高度和80%分位数高度)、植被面积、覆盖度、叶面积指数、树干胸径(横向安装)、叶倾角
operating modeFully automatic, all-weather
无线传输内置模块,支持双流量卡、热插拔,4G全网通
bring one's ownGPS记录位置海拔信息,校准系统时间

农作物与地面的点云分离–植被覆盖度计算(FVC)–间隙率计算–叶面积指数计算(LAI)。通过一个生长季的数据获取,LiDAR计算得到的叶面积指数与地面实测值时间序列规律非常一致(7天滑动平均)。

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