关键词: 郁闭度, 几何光学模型, 混合像元分解, 无人机数据

Abstract: Filter-feeding mussel and submerged macrophyte are important components of aquatic ecosystem, playing a key role in determining the structure, function and process of shallow lakes; however, the effects of their coexistence on water environment in shallow lakes are still unclear. Mesocosm experiments (control, mussel treatment, submerged macrophyte treatment, and coexistence of mussel and submerged macrophyte treatment) were conducted to evaluate the effects of filterfeeding mussel Anodonta woodiana, submerged macrophyte Vallisneria natans, and their coexistence on water quality. Results showed that the mussel reduced the growth of phytoplankton measured as Chl-a (P<0.05). The submerged macrophyte decreased the concentrations of total nitrogen (TN), nitrate (NO₃^--N), total phosphorus (TP), total dissolved phosphorus (TDP) and Chl-a (P<0.05). Coexistence of the mussel and macrophyte decreased both nutrients and Chl-a (P<0.05), meanwhile existence of the mussel promoted growth of the macrophyte. Dry -biomass- and height of the macrophyte in mesocosm were higher with coexistence of the mussel and macrophyte than those of the macrophyte alone at the end of experiment (P<0.05).

Key words: unmanned aerial vehicle imagery (UAV), crown closure, geometric-optical model, linear spectral mixture analysis (SMA).