Using MODIS 250 m Imagery to Estimate Total Suspended Sediment

INTERNATIONAL JOURNAL OF SYSTEMS APPLICATIONS, ENGINEERING & DEVELOPMENTIssue 1, Volume 3, 2009IV. CONCLUSION\Geometric and radiometric corrections utilized duringimage pre-processing routines are crucial for this type ofanalysis. Atmospheric correction included in L2gencommand (SeaDAS) is not suitable for application inMayagüez Bay waters. This same result is expected to findin other tropical bays. Fairly good empirical relationshipwere defined between in situ R rs , TSS and MODIS band 1data using linear and exponential equations. Application ofdeveloped equations resulted on TSS products able todetect spatial variations associated to typical patterns ofcoastal environments. Algorithm 3 showed the highercorrespondence between observed and estimated values(RMSE 4.76 mg/l). However, all three algorithms resultedin reasonable TSS pixel values when compared with datafrom in situ measurements therefore at this point none ofthe algorithms is excluded for future application. Using anexponential equation resulted in a more suitable approachfor this study purpose, since the algorithm including thisequation was more effective estimating low values whichare the dominant conditions in the studied bay. Validationresults can be improved by addressing limiting factors suchas lacking of data corresponding to high concentrations,and contamination by the remaining atmospheric effect inthe derived reflectance of the sensor. The results obtainedin this study provide a baseline to develop TSS operationalproducts for tropical coastal waters by developingpreliminary products and identifying potential errors andlimiting factors in the process.ACKNOWLEDGMENTWe are grateful to Dr. Nazario Ramirez who presented thiswork in The 8th WSEAS International Conference onInstrumentation, Measurement, Circuits and Systems(IMCAS ’09). 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