Abstract

Multispectral indices are useful to improve the knowledge of plant organic functionality. Geographically weighted regression (GWR), multispectral data from unmanned aerial vehicles (UAVs) and individual tree attributes were used in combination to generate forest parameters in an even-aged orchard of Pinus arizonica Engelm. The NDVI index was the best indicator of vegetation vigour, correlated to diameter at breast height (DBH) and total estimated tree height (UAVe) as explanatory variables. Geospatial models explained the variance of orchard vigour (R²=39 for DBH and R²=52 for UAVe), suggesting the crucial requirement for individual or zonal management of the trees. Our results thus provide timely indicators of plant health conditions in the clonal orchard that may be useful for adaptive management strategies in the face of predicted climatic change.

摘要

多光谱指数有助于提高植物有机功能的知识。结合地理加权回归（GWR），无人飞行器（UAV）的多光谱数据和单个树的属性，在亚利桑那州松树平均年龄的果园中生成森林参数。NDVI指数是植被活力的最佳指标，与胸高直径（DBH）和总估计树高（UAVe）相关，作为解释变量。地理空间模型解释了果园活力的变化（对于DBH和R ^2， R ² = 39对于UAVe = 52），表明对树的个人或区域管理至关重要。因此，我们的结果为克隆果园中的植物健康状况提供了及时的指标，这些指标可用于面对预测的气候变化时的适应性管理策略。