Data from: UAV-derived models of vegetation characteristics do not transfer to extreme drought and wet conditions across a Northern Arizona landscape

Data and code used in UAV-derived models of vegetation characteristics do not transfer to extreme drought and wet conditions across a Northern Arizona landscape. Data folder includes the response csv, quadrat shapefiles, UAV processed multispectral orthomosaics, and UAV processed structure-from-motion point clouds. R code for predictor creation, cross-validation, and corrected t-tests is provided.本研究中用于构建无人机（Unmanned Aerial Vehicle, UAV）植被特征模型的数据与代码，在亚利桑那州北部区域的极端干旱与极端湿润场景下无法实现跨场景迁移泛化。数据集文件夹包含响应变量CSV文件、样方（quadrat）形状文件、经无人机处理的多光谱正射影像（multispectral orthomosaics），以及经无人机处理的运动恢复结构（structure-from-motion）点云数据。本资源同时提供用于预测变量构建、交叉验证及校正t检验的R语言代码。