Empirical Relationships for Monitoring Water Quality of Lakes and Reservoirs Through Multispectral Images

摘要: Remote sensing techniques can be used to estimate water quality variables such as chlorophyll ${\mbi a}$ , total suspended particles, and transparency. This paper describes empirical algorithms for the estimation of these using Landsat Thematic Mapper (TM) data. Ground data were taken from several Spanish lakes covering a variety trophic statuses, ranging oligotrophic hypereutrophic. The studied Albufera de Valencia ponds Southeast Regional Park in Madrid. Empirical equations obtained ratio reflectance values between bands 2 4 TM ( $\bf{ R^2 \, {\mmb =}\, 0.66}$ ${\bf p} {\bf \lt} 0.001}$ ), transparency [Secchi disk (SD)] band R}^2\, 0.80$ {bf particles 0.92$ ). spectral equivalence recent satellite Deimos-1 was also tested. By applying proposed this new sensor, temporal resolution is improved by up 3 days, which increases spatial 22 m. validated three scenes together with ground measurements. Results validation showed root-mean-square errors (RMSEs) $\bf 40\nbsp\hbox{mg}\cdot\hbox{m}^{\mmb-3}$ Chl- $\mbi a$ (data range: 32 \mmb {-} 238\nbsp\hbox{mg}\cdot\hbox{m}^{-3}$ 10\nbsp\hbox{mg}\cdot\hbox{L}^{\mmb -1}$ solid (TSS) 25{\mmb -}89\nbsp\hbox{mg}\cdot\hbox{L}^{\mmb 0.10 m SD 0.17–0.40 m). In any case, results show potential substitute monitoring small/medium bodies, providing continuity decades imagery.