SENTINEL 3 FOR INLAND WATER QUALITY MONITORING - ADVANCES IN EARTH OBSERVATION BASED TECHNOLOGIES TO ASSIST ALGAL MANAGEMENT

摘要

Using both modeled and real measurements of spectralrnreflectance over Australian inland water bodies ofrnvarying water quality the potential of the Sentinel 3rnOLCI sensor for monitoring inland optical water qualityrndynamics, notably algal greening, was investigated.rnEstablished semi-empirical water quality algorithms forrnchlorophyll were tested for their potential to form thernbasis of an algal alerting system for water managers.rnGiven the possession of the additional spectral band atrn～705-710 nm both Sentinels 3 and 2 will be better ablernto resolve chlorophyll and NAP than conventional MSrnsensors lacking this spectral band. Such algorithms willrnhave an accuracy sufficient for alerting algalrnblooms/green-up with semi-empirical algorithmsrndisplaying RMSEs of ～4 - 9 mg m~(-3) Chl and RMSEs forrnsemi-analytical inversion approaches within a similarrnrange (～7– 8 mg m~(-3) Chl). Whilst the results bode wellrnfor S3, the potential for S2 for accurate retrieval ofrnchlorophyll estimates will be highly dependent on itsrnSNR. We further report on some other challenges beforernsuch sensors can be used as an inland water qualityrnmonitoring tool.