Effect of Dust Deposition on Chlorophyll Concentration Estimation in Urban Plants from Reflectance and Vegetation Indexes

Using reflectance spectroscopy to monitor vegetation pigments is a crucial method know the nutritional status, environmental stress, and phenological phase of vegetation. Defining cities as targeted areas common greening plants research objects, pigment concentrations dust deposition amounts urban were classified explore spectral difference, respectively. Furthermore, according different levels, this study compared discussed prediction models chlorophyll concentration by correlation analysis linear regression analysis. The results showed: (1) Dust had interference effects on concentration, leaf reflectance, their correlations. was an essential factor that must be considered. (2) influence chlorophyll—a estimation related selected indexes. Different modeling indicators sensitivity dust. SR705 CIrededge indexes based red edge band more suitable for establishing chlorophyll-a models. (3) can achieved using data. effect model under levels “Medium dust” “Heavy worse than “Less dust”, which meant accumulation concentration. quantitative spectrum shows excellent advantages in application remote sensing, provides important theoretical basis technical support practical plant content prediction.