2021年小汤山国家精准农业研究示范基地高光谱激光雷达玉米冠层尺度数据集

获取玉米冠层的高光谱3D点云，经过点云去噪、叶片分割等处理后获取叶片的结构参数（叶长、叶宽、植株高度、最大冠层宽度），并与测量值和三维激光扫描仪扫描结果进行对比。在获取植株结构信息的基础上，利用高光谱3D点云的光谱信息，探究不同叶片、不同高度上光谱波段和植被指数的变化情况，并将光谱信息与成像光谱仪进行对比。

Hyperspectral 3D point clouds of maize canopies were collected. After processing including point cloud denoising and leaf segmentation, structural parameters of individual leaves were extracted, including leaf length, leaf width, plant height, and maximum canopy width. These extracted parameters were compared with both manual field measurements and the scanning results from a 3D laser scanner. Based on the acquired plant structural information, the spectral information from the hyperspectral 3D point clouds was utilized to investigate the variations of spectral bands and vegetation indices across different leaves and at different canopy heights. Additionally, the spectral data were compared with those collected by an imaging spectrometer.

搜集汇总

背景与挑战

背景概述

该数据集是2021年在小汤山国家精准农业研究示范基地采集的高光谱激光雷达玉米冠层尺度数据，主要用于提取玉米植株的结构参数（如叶长、叶宽和植株高度）并与实测值对比，同时分析不同叶片和高度的光谱信息及植被指数，支持精准农业研究中的作物监测和生化参数估算。