Estimation of chlorophyll-a concentration in turbid productive waters using airborne hyperspectral data

Water Research

Volumn 46, Issue 4, 2012, Pages 993-1004

  Moses, Wesley J ^a   Gitelson, Anatoly A ^a   Perk, Richard L ^a   Gurlin, Daniela ^a   Rundquist, Donald C ^a   Leavitt, Bryan C ^a   Barrow, Tadd M ^a   Brakhage, Paul ^b  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b Nebraska Department of Environmental Quality   (United States)

Author keywords

AISA; Atmospheric correction; Chlorophyll a; FLAASH; Near infra red; QUAC; Remote sensing

Indexed keywords

DATA ACQUISITION; HYPERSPECTRAL IMAGING; INFRARED DEVICES; MEAN SQUARE ERROR; REFLECTION; REMOTE SENSING; SPECTROMETERS;

AISA; ATMOSPHERIC CORRECTIONS; CHLOROPHYLL A; FLAASH; NEAR INFRARED; QUAC;

CHLOROPHYLL;

CHLOROPHYLL A; SURFACE WATER; WATER;

AIRBORNE SENSING; ATMOSPHERIC CORRECTION; CHLOROPHYLL A; DATA ACQUISITION; INFRARED IMAGERY; SPECTRAL ANALYSIS; SPECTRAL REFLECTANCE; TURBIDITY;

ACCURACY; AEROSOL; AIRBORNE PARTICLE; ARTICLE; ATMOSPHERE; ATMOSPHERIC ADJUSTMENT OF SPECTRAL HYPERCUBE; AUTUMN; BIOGEOCHEMISTRY; LAKE; NEAR INFRARED REFLECTANCE SPECTROSCOPY; NONHUMAN; PRIORITY JOURNAL; PROCEDURES; QUICK ATMOSPHERIC CORRECTION; SPECTRAL SENSITIVITY; SUMMER;

EID: 84856087910     PISSN: 00431354     EISSN: 18792448     Source Type: Journal    
DOI: 10.1016/j.watres.2011.11.068     Document Type: Article

References (52)

1. Adler-Golden, S.M., Matthew, M.W., Bernstein, L.S., Levine, R.Y., Berk, A., Richtsmeier, S.C., Acharya, P.K., Anderson, G.P., Felde, G., Gardner, J., Hoke, M., Jeong, L.S., Pukall, B., Ratkowski, A., Burke, H.H., 1999. Atmospheric correction for shortwave spectral imagery based on MODTRAN4. In: SPIE Proceedings, Imaging Spectrometry, vol. 3753, pp. 61-69.
2. Austin R.W. Air-water Radiance Calibration Factor 1976, Tech. Memo. ML-76-004T, 8 pp., Scripps Institution of Oceanography.
3. Berk A., Anderson G.P., Acharya P.K., Chetwynd J.H., Bernstein L.S., Shettle E.P., Matthew M.W., Adler-Golden S.M. MODTRAN4 User's Manual 2000, Hanscom AFB: Air Force Research Laboratory, Space Vehicles Directorate, Air Force Material Command, MA 01731-3010, 97 pp.
4. Bernstein, L.S., Adler-Golden, S.M., Sundberg, R.L., Levine, R.Y., Perkins, T.C., Berk, A., Ratkowski, A.J., Felde, G., Hoke, M.L., 2005a. A new method for atmospheric correction and aerosol optical property retrieval for VIS-SWIR multi- and hyperspectral imaging sensors: QUAC (QUick atmospheric correction). In: Proceedings of the International Geoscience and Remote Sensing Symposium, IGARSS'05, 2005 IEEE International, vol. 5, pp. 3549-3552, 25-29 July 2005.
5. Bernstein, L.S., Adler-Golden, S.M., Sundberg, R.L., Levine, R.Y., Perkins, T.C., Berk, A., Ratkowski, A.J., Felde, G., Hoke, M.L., 2005b. Validation of the QUick Atmospheric Correction (QUAC) algorithm for VNIR-SWIR multi- and hyperspectral imagery. In: SPIE Proceedings, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, vol. 5806, pp. 668-678.
6. Bernstein, L.S., Adler-Golden, S.M., Sundberg, R.L., Ratkowski, A., 2006. Improved Reflectance Retrieval from Hyper- and Multispectral Imagery without Prior Scene or Sensor Information. In: SPIE Proceedings, Remote Sensing of Clouds and the Atmosphere XI, vol. 6362.
7. Carder, K.L., Chen, F.R., Cannizzaro, J.P., Campbell, J.W., Mitchell, B.G., 2004. Performance of the MODIS semi-analytical ocean color algorithm for chlorophyll-a. Climate Change Processes in the Stratosphere, Earth-Atmosphere-Ocean Systems, and Oceanographic Processes from Satellite Data 33 (7), 1152-1159.
8. Dall'Olmo G., Gitelson A.A. Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration in turbid productive waters: experimental results. Applied Optics 2005, 44(3):412-422.
9. Dall'Olmo G., Gitelson A.A., Rundquist D.C. Towards a unified approach for remote estimation of chlorophyll-a in both terrestrial vegetation and turbid productive waters. Geophysical Research Letters 2003, 30(18):1938. 10.1029/2003GL018065.
10. Dall'Olmo G., Gitelson A.A., Rundquist D.C., Leavitt B., Barrow T., Holz J.C. Assessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands. Remote Sensing of Environment 2005, 96(2):176-187.
11. Dall'Olmo G., Gitelson A.A. Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration in turbid productive waters: modeling results. Applied Optics 2006, 45(15):3577-3592.
12. Darecki M., Stramski D. An evaluation of MODIS and SeaWiFS bio-optical algorithms in the Baltic Sea. Remote Sensing of Environment 2004, 89(3):326-350.
13. Dekker, A.G., 1993. Detection of Optical Water Quality Parameters for Eutrophic Waters by High Resolution Remote Sensing. Ph.D. Thesis. Amsterdam, Vrije Universiteit, p. 222.
14. Standard Methods for the Examination of Water and Wastewater: Centennial Edition 2005, American Public Health Association, Washington, D.C., 1368 pp. first ed. A.D. Eaton, L.S. Clesceri, E.W. Rice, A.E. Greenberg, M.A.H. Franson (Eds.).
15. FLAASH Module User's Guide FLAASH Module Version 4.5, ITT Visual Information Solutions 2008.
16. Gilerson, A., Gitelson, A., Zhou, J., Ioannou, I., Ahmed, S., 2009. Remote Estimation of Chlorophyll-a in coastal waters using red and near infrared spectral regions. In: Proceedings of the V International Conference " Current Problems in Optics of Natural Waters (ONW)" St Petersburg, Russia, 8-11 September 2009, pp. 110-114.
17. Gilerson A., Gitelson A., Zhou J., Gurlin D., Moses W., Ioannou I., Ahmed S. Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands. Optics Express 2010, 18(23):24109-24125.
18. Gitelson A. The peak near 700nm on radiance spectra of Algae and water - relationships of its magnitude and position with chlorophyll concentration. International Journal of Remote Sensing 1992, 13(17):3367-3373.
19. Gitelson A.A., Kondratyev K.Y. On the mechanism of formation of maximum in the reflectance spectra near 700nm and its application for remote monitoring of water quality. Transactions Doklady of the USSR Academy of Sciences: Earth Science Sections 1991, 306:1-4.
20. Gitelson A.A., Dall'Olmo G., Moses W., Rundquist D.C., Barrow T., Fisher T.R., Gurlin D., Holz J. A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: validation. Remote Sensing of Environment 2008, 112(9):3582-3593.
21. Gitelson A., Gurlin D., Moses W., Barrow T. A bio-optical algorithm for the remote estimation of the chlorophyll-a concentration in case 2 waters. Environmental Research Letters 2009, 4(045003):5.
22. Gitelson A.A., Gurlin D., Moses W.J., Yacobi Y.Z. Remote Estimation of Chlorophyll-a Concentration in Inland, Estuarine, and Coastal Waters. Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications 2011, 584. pp. 449-478. Q. Weng (Ed.).
23. Gons H.J. Optical teledetection of chlorophyll a in turbid inland waters. Environmental Science & Technology 1999, 33(7):1127-1132.
24. Gordon H.R., Morel A.Y. Remote Assessment of Ocean Color for Interpretation of Satellite Visible Imagery: A Review 1983, Springer-Verlag, New York.
25. Gordon H.R., Brown O.B., Evans R.H., Brown J.W., Smith R.C., Baker K.S., Clark D.K. A semianalytic radiance model of ocean color. Journal of Geophysical Research 1988, 93:10909-10924.
26. Gower J.F.R., Doerffer R., Borstad G.A. Interpretation of the 685nm peak in water-leaving radiance spectra in terms of fluorescence, absorption and scattering, and its observation by MERIS. International Journal of Remote Sensing 1999, 20(9):1771-1786.
27. Gurlin D., Gitelson A.A., Moses W.J. Remote estimation of chl-a concentration in turbid productive waters - return to a simple two-band NIR-red model?. Remote Sensing of Environment 2011, 115(12):3479-3490.
28. Han L.H., Rundquist D.C. Comparison of NIR/RED ratio and first derivative of reflectance in estimating algal-chlorophyll concentration: a case study in a turbid reservoir. Remote Sensing of Environment 1997, 62(3):253-261.
29. Han L., Rundquist D.C., Liu L.L., Fraser R.N., Schalles J.F. The spectral responses of algal chlorophyll in water with varying levels of suspended sediment. International Journal of Remote Sensing 1994, 15(18):3707-3718.
30. Honeywill C., Paterson D.M., Hegerthey S.E. Determination of microphytobenthic biomass using pulse-amplitude modulated minimum fluorescence. European Journal of Phycology 2002, 37(4):485-492.
31. Kallio K., Kutser T., Hannonen T., Koponen S., Pulliainen J., Vepsaälaäinen J., Pyhaälahti T. Retrieval of water quality from airorne imaging spectrometry of various lake types in different seasons. The Science of the Total Environment 2001, 268(1-3):59-77.
32. Kaufman Y.J., Wald A.E., Remer L.A., Gao B.C., Li R.R., Flynn L. The MODIS 2.1-μm channel - correlation with visible reflectance for use in remote sensing of aerosol. IEEE Transactions on Geoscience and Remote Sensing 1997, 35(5):1286-1298.
33. Koponen S., Pulliainen J., Kallio K., Hallikainen M. Lake water quality classification with airborne hyperspectral spectrometer and simulated MERIS data. Remote Sensing of Environment 2002, 79(1):51-59.
34. Matthew, M.W., Adler-Golden, S.M., Berk, A., Richtsmeier, S.C., Levine, R.Y., Bernstein, L.S., Acharya, P.K., Anderson, G.P., Felde, G.W., Hoke, M.P., Ratkowski, A., Burke, H.H., Kaiser, R.D., Miller, D.P., 2000. Status of atmospheric correction using a MODTRAN4-based algorithm. In: SPIE Proceedings, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, vol. 4049, pp. 199-207.
35. Matthew M.W., Adler-Golden S.M., Berk A., Felde G., Anderson G.P., Gorodetzky D., Paswaters S., Shippert M. Atmospheric correction of spectral imagery: evaluation of the FLAASH algorithm with AVIRIS data. Proceedings of 31st Applied Imagery Pattern Recognition Workshop 2002, 157-163. IEEE Computer Society, Washington, D.C.
36. Mitchell, B.G., Kahru, M., Wieland, J., Stramska, M., 2003. Determination of spectral absorption coefficients of particles, dissolved material and phytoplankton for discrete water samples. In: Mueller, J.L., Fargion, G.S., McClain, C.R. (eds.), Inherent Optical Properties: Instruments, Characterizations, Field Measurements and Data Analysis Protocols, Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, Revision 4, vol. IV, NASA Technical Memorandum 2003-211621, NASA Goddard Space Flight Center, MD.
37. Morel A., Prieur L. Analysis of variations in ocean color. Limnology and Oceanography 1977, 22(4):709-722.
38. Moses, W.J., 2009. Satellite-based estimation of chlorophyll-a concentration in turbid productive waters. PhD diss., University of Nebraska-Lincoln, Lincoln, NE.
39. Moses W.J., Gitelson A.A., Berdnikov S., Povazhnyy V. Estimation of chlorophyll-a concentration in case II waters using MODIS and MERIS data-successes and challenges. Environmental Research Letters 2009, 4(045005):8.
40. Moses W., Gitelson A., Berdnikov S., Povazhnyy V. Satellite estimation of chlorophyll-a concentration using the red and NIR bands of MERIS - the AzovSea case study. IEEE Geoscience and Remote Sensing Letters 2009, 4(6):845-849.
41. Mueller J.L., Austin R.W. Ocean Optics Protocols for SeaWiFS Validation, Revision 1. SeaWiFS Technical Report Series. NASA Technical Memorandum 104566 1995, vol. 25. NASA Goddard Space Flight Center, MD.
42. NDEQ Water Quality Division 2010 Water Quality Integrated Report. NDEQ Integrated Reports 2010, Nebraska Department of Environmental Quality, Nebraska, USA.
43. O'Reilly J.E., Maritorena S., Mitchell B.G., Siegel D.A., Carder K.L., Garver S.A., Kahru M., McClain C. Ocean color chlorophyll algorithms for SeaWiFS. Journal of Geophysical Research-Oceans 1998, 103(C11):24937-24953.
44. O'Reilly J.E., et al. SeaWiFS Postlaunch Calibration and Validation Analyses, Part 3. NASA Tech. Memo. 2000-206892 2000, vol. 11. NASA Goddard Space Flight Center, MD, 49.
45. Ohde T., Siegel H. Derivation of immersion factors for the hyperspectral TriOS radiance sensor. Journal of Optics A - Pure and Applied Optics 2003, 5(3):L12-L14.
46. Revenga C., Kura Y. Status and Trends of Biodiversity of Inland Water Ecosystems 2003, Secretariat of the Convention on Biological Diversity, Montreal.
47. Ruddick K.G., Gons H.J., Rijkeboer M., Tilstone G. Optical remote sensing of chlorophyll-a in case 2 waters by use of an adaptive two-band algorithm with optimal error properties. Applied Optics 2001, 40(21):3575-3585.
48. Schalles J.F., Gitelson A.A., Yacobi Y.Z., Kroenke A.E. Estimation of chlorophyll a from time series measurements of high spectral resolution reflectance in an eutrophic lake. Journal of Phycology 1998, 34(2):383-390.
49. Vasilkov A., Kopelevich O. Reasons for the appearance of the maximum near 700nm in the radiance spectrum emitted by the ocean layer. Oceanology 1982, 22(6):697-701.
50. Welschmeyer N.A. Fluorometric analysis of chlorophyll a in the presence of chlorophyll b and pheopigments. Limnology and Oceanography 1994, 39(8):1985-1992.
51. Yacobi Y.Z., Moses W.J., Kaganovsky S., Sulimani B., Leavitt B.C., Gitelson A.A. NIR-red reflectance-based algorithms for chlorophyll-a estimation in mesotrophic inland and coastal waters: lake Kinneret case study. Water Research 2011, 45(7):2428-2436.
52. Zibordi G. Immersion factor of in-water radiance sensors: assessment for a class of radiometers. Journal of Atmospheric and Oceanic Technology 2006, 23(2):302-313.