Application of hyperspectral remotely sensed data for water quality monitoring: Accuracy and limitation

Asif M. Bhattf, Donald Rundquist, John Schalles, Luis Ramirez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Remote sensing is a valuable tool for monitoring water quality parameters in inland and coastal waters. The prime objective of present research was to investigate the accuracy and limitations of hyperspectral remotely sensed data for water quality monitoring. The in situ hyperspectral spectroradimeter data of Altamaha River, Georgia, USA, and the St. Marys River, Georgia, USA was collected below the water surface. The pronounced difference was observed between the subsurface spectral reflectance of different sampling points within the same water body. The spectral signatures were found to be strongly correlated with the optically active constituents present within the water body. The collected hyperspectral and in situ water quality data were analyzed to develop the models for estimation of total suspended sediment (TSS), colored dissolved organic matter (CDOM), chlorophyll-a and turbidity. The band ratio algorithms were developed by means of collected remotely sensed hyperspectral data. The developed regression models showed good correlation with the water quality parameters. It is imperative to comprehensively understand the spectral nature, spectral response to individual water quality parameters, and the effect of influencing factors on the reflected signals. The research work demonstrates the operational feasibility of remotely sensed data for monitoring water quality parameters.

Original languageEnglish
Title of host publicationAccuracy 2010 - Proceedings of the 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences
PublisherInternational Spatial Accuracy Research Association (ISARA)
Pages349-352
Number of pages4
StatePublished - 2010
Event9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010 - Leicester, United Kingdom
Duration: Jul 20 2010Jul 23 2010

Other

Other9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010
CountryUnited Kingdom
CityLeicester
Period7/20/107/23/10

Fingerprint

water quality
monitoring
spectral reflectance
research work
river
dissolved organic matter
suspended sediment
turbidity
coastal water
chlorophyll a
remote sensing
surface water
parameter
sampling
in situ
water body

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)

Cite this

Bhattf, A. M., Rundquist, D., Schalles, J., & Ramirez, L. (2010). Application of hyperspectral remotely sensed data for water quality monitoring: Accuracy and limitation. In Accuracy 2010 - Proceedings of the 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences (pp. 349-352). International Spatial Accuracy Research Association (ISARA).

Application of hyperspectral remotely sensed data for water quality monitoring : Accuracy and limitation. / Bhattf, Asif M.; Rundquist, Donald; Schalles, John; Ramirez, Luis.

Accuracy 2010 - Proceedings of the 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. International Spatial Accuracy Research Association (ISARA), 2010. p. 349-352.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bhattf, AM, Rundquist, D, Schalles, J & Ramirez, L 2010, Application of hyperspectral remotely sensed data for water quality monitoring: Accuracy and limitation. in Accuracy 2010 - Proceedings of the 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. International Spatial Accuracy Research Association (ISARA), pp. 349-352, 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010, Leicester, United Kingdom, 7/20/10.
Bhattf AM, Rundquist D, Schalles J, Ramirez L. Application of hyperspectral remotely sensed data for water quality monitoring: Accuracy and limitation. In Accuracy 2010 - Proceedings of the 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. International Spatial Accuracy Research Association (ISARA). 2010. p. 349-352
Bhattf, Asif M. ; Rundquist, Donald ; Schalles, John ; Ramirez, Luis. / Application of hyperspectral remotely sensed data for water quality monitoring : Accuracy and limitation. Accuracy 2010 - Proceedings of the 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. International Spatial Accuracy Research Association (ISARA), 2010. pp. 349-352
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