Long-term agroecosystem research in the Central Mississippi River Basin: Hyperspectral remote sensing of reservoir water quality

Journal of Environmental Quality

Volumn 44, Issue 1, 2015, Pages 71-83

  Sudduth, Kenneth A ^a   Jang, Gab Sue ^b   Lerch, Robert N ^a   Sadler, E John ^a  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b Yeungnam University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

AERIAL PHOTOGRAPHY; CALIBRATION; CHLOROPHYLL; ESTIMATION; LAKES; LEAST SQUARES APPROXIMATIONS; PARAMETER ESTIMATION; REFLECTION; REMOTE SENSING; SUSPENDED SEDIMENTS; TURBIDITY; WATER QUALITY;

CALIBRATION SAMPLES; HYPERSPECTRAL REMOTE SENSING; HYPERSPECTRAL SENSING; MISSISSIPPI RIVER BASIN; OPTICAL REFLECTANCE; PARTIAL LEAST SQUARES REGRESSION; RESERVOIR WATER QUALITY; WATER QUALITY PARAMETERS;

RESERVOIRS (WATER);

CHLOROPHYLL;

AGROECOSYSTEM; ARTICLE; BATH; CALIBRATION; CONTROLLED STUDY; LONG TERM CARE; NUTRIENT; PARTIAL LEAST SQUARES REGRESSION; PARTICLE RESUSPENSION; REMOTE SENSING; RESERVOIR; TURBIDITY; UNITED STATES; WATER QUALITY;

EID: 84920996806     PISSN: 00472425     EISSN: 15372537     Source Type: Journal    
DOI: 10.2134/jeq2014.02.0060     Document Type: Article

References (36)

1. Antweiler, R.C., and H.E. Taylor. 2008. Evaluation of statistical treatments of left-censored environmental data using coincident uncensored data sets: I. Summary statistics. Environ. Sci. Technol. 42:3732-3738. doi:10.1021/es071301c
2. Baffaut, C., E.J. Sadler, R.N. Lerch, and N.R. Kitchen. 2009. Nutrient sources and transport from the Goodwater Creek Experimental Watershed. Paper no. 097150. ASABE, St. Joseph, MI.
3. Bagheri, S., M. Rijkeboer, and A. Gitelson. 2012. Utility of field spectroradiometer data in chlorophyll-a estimation. Open Remote Sens. J. 5:90-95. doi:10.2174/1875413901205010090
4. Beebe, K.R., and B.R. Kowalski. 1987. An introduction to multivariate calibration and analysis. Anal. Chem. 59:1007A-1017A. doi:10.1021/ac00144a725
5. Dall'Olmo, G., and A.A. Gitelson. 2005. Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration in turbid productive waters: Experimental results. Appl. Opt. 44:412-422. doi:10.1364/AO.44.000412
6. Farnham, I.M., A.K. Singh, K.J. Stetzenbach, and K.H. Johannesson. 2002. Treatment of nondetects in multivariate analysis of groundwater geochemistry data. Chemom. Intell. Lab. Syst. 60:265-281. doi:10.1016/S0169-7439(01)00201-5
7. Garg, V., I. Chaubey, and S. Singh. 2009. Evaluation of a hyperspectral optical-Monte Carlo remote sensing model in a water tank study. Trans. ASABE 52:759-769. doi:10.13031/2013.27397
8. Gitelson, A. 1992. The peak near 700 nm on radiance spectra of algae and water: Relationships of its magnitude and position with chlorophyll concentration. Int. J. Remote Sens. 13:3367-3373. doi:10.1080/01431169208904125
9. Gurlin, D., A.A. Gitelson, and W.J. Moses. 2011. Remote estimation of chl-a concentration in turbid productive waters: Return to a simple two-band NIR-red model? Remote Sens. Environ. 115:3479-3490. doi:10.1016/j.rse.2011.08.011
10. Han, L. 1996. Spectrometry of turbidity in surface water. In: T.I. Stein, editor, Remote Sensing for a Sustainable Future: Proceedings of the International Geoscience and Remote Sensing Symposium, Lincoln, NE. 27-31 May 1996. Vol. 2. IEEE, Piscataway, NJ. p. 1395-1397.
11. Han, L., and D.C. Rundquist. 1997. Comparison of NIR/red ratio and first derivative of reflectance in estimating algal-chlorophyll concentration: A case study in a turbid reservoir. Remote Sens. Environ. 62:253-261. doi:10.1016/S0034-4257(97)00106-5
12. Han, L., D.C. Rundquist, L.L. Liu, R.N. Fraser, and J.F. Schalles. 1994. The spectral responses of algal chlorophyll in water with varying levels of suspended sediment. Int. J. Remote Sens. 15:3707-3718. doi:10.1080/01431169408954353
13. Harrington, J.A., Jr., F.R. Schiebe, and J.F. Nix. 1992. Remote sensing of Lake Chicot, Arkansas: Monitoring suspended sediments, turbidity, and Secchi depth with Landsat MSS data. Remote Sens. Environ. 39:15-27. doi:10.1016/0034-4257(92)90137-9
14. Hayes, J.C., E.E. Godbold, and B.J. Barfield. 2001. Turbidity based on sediment characteristics for southeastern U.S. soils. In: J.C. Ascough II and D.C. Flanagan, editors, Proceedings of the International Symposium on Soil Erosion Research for the 21st Century, Honolulu, HI. 3-5 Jan. 2001. Am. Soc. Agric. Eng., St. Joseph, MI. p. 408-411.
15. Helsel, D. 2010. Much ado about next to nothing: Incorporating nondetects in science. Ann. Occup. Hyg. 54:257-262. doi:10.1093/annhyg/mep092.
16. Knowlton, M.F. 1984. Flow-through microcuvette for fluorometric determination of chlorophyll. Water Resour. Bull. 20:795-799. doi:10.1111/j.1752-1688.1984.tb04763.x.
17. Knowlton, M.F., and J.R. Jones. 1995. Temporal and spatial dynamics of suspended sediment, nutrients, and algal biomass in Mark Twain Lake, Missouri. Arch. Hydrobiol. 135:145-178.
18. Legleiter, C.J., and D.A. Roberts. 2005. Effects of channel morphology and sensor spatial resolution on image-derived depth estimates. Remote Sens. Environ. 95:231-247. doi:10.1016/j.rse.2004.12.013
19. Lerch, R.N., N.R. Kitchen, C. Baffaut, and E.D. Vories. 2015. Long-term agroecosystem research in the Central Mississippi River Basin: Goodwater Creek Experimental Watershed and regional nutrient water quality data. J. Environ. Qual. 44:36-42. doi:10.2134/jeq2013.12.0518
20. Lodhi, M.A., D.C. Rundquist, L. Han, and M.S. Kuzila. 1998. Estimation of suspended sediment concentration in water using integrated surface reflectance. Geocarto Int. 13(2):11-15. doi:10.1080/10106049809354637
21. Mausbach, M.J., and A.R. Dedrick. 2004. The length we go: Measuring environmental benefits of conservation practices. J. Soil Water Conserv. 59(5):96A-103A.
22. Mobley, C.D. 1999. Estimation of the remote-sensing reflectance from above-surface measurements. Appl. Opt. 38:7442-7455. doi:10.1364/AO.38.007442
23. Moses, W.J., A.A. Gitelson, R.L. Perk, D. Gurlin, D.C. Rundquist, B.C. Leavitt, et al. 2012. Estimation of chlorophyll-a concentration in turbid productive waters using aerial hyperspectral data. Water Res. 46:993-1004. doi:10.1016/j.watres.2011.11.068
24. Nydahl, F. 1978. On the peroxodisulphate oxidation of total nitrogen in waters to nitrate. Water Res. 12:1123-1130. doi:10.1016/0043-1354(78)90060-X
25. Olmanson, L.G., P.L. Brezonik, and M.E. Bauer. 2013. Airborne hyperspectral remote sensing to assess spatial distribution of water quality characteristics in large rivers: The Mississippi River and its tributaries in Minnesota. Remote Sens. Environ. 130:254-265. doi:10.1016/j.rse.2012.11.023
26. Porter, P.S., R.C. Ward, and H.F. Bell. 1988. The detection limit. Environ. Sci. Technol. 22:856-861. doi:10.1021/es00173a001
27. Ritchie, J.C., F.R. Schiebe, and J.R. McHenry. 1976. Remote sensing of suspended sediment in surface water. Photogram. Eng. Remote Sens. 42:1539-1545.
28. Ritchie, J.C., P.V. Zimba, and J.H. Everitt. 2003. Remote sensing techniques to assess water quality. Photogram. Eng. Remote Sens. 69:695-704. doi:10.14358/PERS.69.6.695
29. Robertson, A.L., L. Li, L. Tedesco, J. Wilson, and E. Soyeux. 2009. Using a partial least squares (PLS) method for estimating cyanobacterial pigments in eutrophic inland waters. Proc. SPIE 7454:7450801-7450812.
30. Rundquist, D.C., L. Han, J.F. Schalles, and J.S. Peake. 1996. Remote measurement of algal chlorophyll in surface waters: The case for the first derivative of reflectance near 690 nm. Photogram. Eng. Remote Sens. 62:195-200.
31. Sadler, E.J., R.N. Lerch, N.R. Kitchen, S.H. Anderson, C. Baffaut, K.A. Sudduth, et al. 2015. Long-term agroecosystem research in the Central Mississippi River Basin: Introduction, establishment, and overview. J. Environ. Qual. 44:2-11. doi:10.2134/jeq2014.11.0481
32. Shafique, N.A., F. Fulk, B.C. Autrey, and J. Flotemersch. 2003. Hyperspectral remote sensing of water quality parameters for large rivers in the Ohio River basin. In: K.G. Renard et al., editors, Proceedings of the First Interagency Conference on Research in the Watersheds, Benson, AZ. 27-30 Oct. 2003. USDA-ARS, Washington, DC. p. 216-221.
33. Song, K., L. Li, S. Li, L. Tedesco, B. Hall, and L. Li. 2012a. Hyperspectral remote sensing of total phosphorus (TP) in three central Indiana water supply reservoirs. Water Air Soil Pollut. 223:1481-1502. doi:10.1007/s11270-011-0959-6
34. Song, K., L. Li, L.P. Tedesco, S. Li, H. Duan, D. Liu, et al. 2013. Remote estimation of chlorophyll-a in turbid inland waters: Three-band model versus GA-PLS model. Remote Sens. Environ. 136:342-357. doi:10.1016/j.rse.2013.05.017
35. Song, K., D. Lu, L. Li, S. Li, Z. Wang, and J. Du. 2012b. Remote sensing of chlorophyll-a concentration for drinking water source using genetic algorithms (GA)-partial least square (PLS) modeling. Ecol. Inform. 10:25-36. doi:10.1016/j.ecoinf.2011.08.006
36. Uhrich, M.A., and H.M. Bragg. 2003. Monitoring instream turbidity to estimate continuous suspended-sediment loads and yields and clay-water volumes in the Upper North Santiam River Basin, Oregon, 1998-2000. Water-Resour. Invest. Rep. 03-4098. USGS, Portland, OR.