2022-2024年内蒙古草地物种形态特征与光谱特征库

综合利用野外可见光、高光谱等技术，搭建草地物种地面观测网络和近地面监测平台，获取可用于草地物种识别的形态特征图片和光谱特征等数据，建设多源样本数据库；通过物理形状诊断、纹理诊断、光谱提取和多维尺度法等方法，提取草地优势种、建群种和入侵种不同生长期的颜色特征、纹理特征、形状特征、空间关系特征、深度特征以及光谱的相似特征、表型异质性特征等，最终形成草地物种形态特征与光谱特征库。数据库包含55种内蒙古常见草地物种的生活型、地理位置、光谱曲线、形态特征等。（协议共享）By comprehensively utilizing technologies such as field visible light and hyperspectral spectroscopy, we established a ground-based observation network for grassland species and a near-surface monitoring platform, collected data including morphological feature images and spectral features applicable to grassland species identification, and constructed a multi-source sample database. Through methods including physical shape diagnosis, texture diagnosis, spectral extraction and multidimensional scaling (MDS), we extracted color features, texture features, shape features, spatial relationship features, depth features, spectral similarity features and phenotypic heterogeneity features of dominant, constructive and invasive grassland species at different growth stages, and ultimately established a grassland species morphological and spectral feature database. This database contains life forms, geographic locations, spectral curves, morphological features and other relevant information of 55 common grassland species in Inner Mongolia. (Shared under formal agreements)

搜集汇总

背景与挑战

背景概述

该数据集是一个2022-2024年内蒙古草地物种的形态与光谱特征库，覆盖呼伦贝尔、锡林郭勒和鄂尔多斯地区，包含55种常见物种的生活型、地理位置、光谱曲线和形态特征数据。它通过整合可见光、高光谱等多源技术构建，专注于物种识别和遥感监测应用，具有严格的数据收集和质量控制过程。