Temporal and spatial variability of chlorophyll a concentration in Lake Taihu using MODIS time-series data

Hydrobiologia

Volumn 661, Issue 1, 2011, Pages 235-250

  Zhang, Yuchao ^a   Lin, Shan ^a   Qian, Xin ^a   Wang, Qin'geng ^a   Qian, Yu ^a   Liu, Jianping ^a   Ge, Yi ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

Algal blooms; Chlorophyll a; Empirical algorithms; EOF analysis

Indexed keywords

ALGAL BLOOM; ALGORITHM; ANNUAL VARIATION; CHLOROPHYLL A; CONCENTRATION (COMPOSITION); EMPIRICAL ANALYSIS; EUTROPHICATION; LACUSTRINE ENVIRONMENT; MODIS; SATELLITE DATA; SPATIAL VARIATION; SPATIOTEMPORAL ANALYSIS; SPECTRAL REFLECTANCE; TIME SERIES; VARIANCE ANALYSIS;

CHINA; TAIHU LAKE;

ALGAE;

EID: 79959790821     PISSN: 00188158     EISSN: 15735117     Source Type: Journal    
DOI: 10.1007/s10750-010-0528-9     Document Type: Article

References (45)

1. Chen, Y. W. & X. Y. Gao, 2000. Comparison of two methods for phytoplankton chlorophyll-a concentration measurement. Hupo Kexue 12: 185-188 (in Chinese).
2. Chen, Y. W., C. X. Fan, K. Teubner & M. Dokullil, 2003. Changes of nutrients and phytoplankton chlorophyll-a in a large shallowlake, Taihu, China: an 8-year investigation. Hydrobiologia 506: 273-279.
3. Dall'Olmo, G., A. A. Gitelson, D. C. Rundquist, B. Leavitt, T. Barrow & J. C. Holz, 2005. Assessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and nearinfrared bands. Remote Sensing of Environment 96: 176-187.
4. Duan, H., S. Mang & Y. Mang, 2008. Cyanobacteria bloom monitoring with remote sensing in Lake Taihu. Hupo Kexue 20: 145-152 (in Chinese).
5. Gitelson, A., 1992. The peak near 700 nm on radiance spectra of algae and water relationships of its magnitude and position with chlorophyll concentration. International Journal of Remote Sensing 13: 3367-3373.
6. Gitelson, A. A., D. Gurlin, W. J. Moses & T. Barrow, 2009. A bio-optical algorithm for the remote estimation of the chlorophyll-a concentration in case 2 waters. Environmental Research Letters 4: 045003.
7. Han, L. H. & D. C. Rundquist, 1994. The response of both surface reflectance and the underwater light field to various levels of suspended sediments-preliminary results. Photogrammetric Engineering and Remote Sensing 60: 1463-1471.
8. Hu, C. M., Z. Q. Chen, T. D. Clayton, P. Swarzenski, J. C. Brock & F. E. Muller-Karger, 2004. Assessment of estuarine water-quality indicators using MODIS mediumresolution bands: initial results from Tampa Bay, FL. Remote Sensing of Environment 93: 423-441.
9. Hu, W. P., S. E. Jorgensen & F. B. Zhang, 2006. A verticalcompressed three-dimensional ecological model in Lake Taihu, China. Ecological Modelling 190: 367-398.
10. IOCCG, 2000. Remote sensing of ocean colour in coastal, and other optically-complex, waters. In Sathyendranath, S. (ed.), Reports of the International Ocean-Colour Coordinating Group. IOCCG, Dartmouth, Canada.
11. Jiao, H. B., Y. Zha, Y. M. Li, J. Z. Huang & Y. C. Wei, 2006. Modelling chlorophyll-a concentration in Lake Taihu from hyperspectral reflectance data. Journal of Remote Sensing 10: 242-248 (in Chinese).
12. Kong, F. X. & G. Gao, 2005. Hypothesis on cyanobacteria bloom-forming mechanism in large shallow eutrophic lakes. Acta Ecologica Sinica 25: 589-595 (in Chinese).
13. Le, C. F., Y. M. Li, D. Y. Sun, H. J. Wang & C. C. Huang, 2008. Spatio-temporal distribution of chlorophyll a concentration and its estimation in Lake Taihu. Huanjing Kexue 29: 619-626 (in Chinese).
14. Le, C. F., Y. M. Li & Y. Zha, 2009a. Specific absorption coefficient and the phytoplankton package effect in Lake Taihu, China. Hydrobiologia 619: 27-37.
15. Le, C. F., Y. M. Li, Y. Zha, D. Y. Sun, C. C. Huang & H. Lu, 2009b. A four-band semi-analytical model for estimating chlorophyll a in highly turbid lakes: the case of Lake Taihu, China. Remote Sensing of Environment 113: 1175-1182.
16. Li, Y. M., J. Z. Huang, Y. C. Wei, W. N. Lu & J. Z. Shi, 2006. Evaluating eutrophic state of Lake Taihu by in situ hyperspectra. Huanjing Kexue 27: 1770-1775 (in Chinese).
17. Luo, L. & B. Qin, 2004. Numerical simulation based on a three-dimensional shallow-water hydrodynamic modelcurrent circulations in Lake Taihu with prevailing windforcing. Journal of Hydrodynamics (Serial B) 16: 341-349.
18. Luo, L., B. Qin & G. Zhu, 2004a. Sediment distribution pattern mapped from the combination of objective analysis and geostatistics in the large shallow LakeTaihu, China. Journal of Environmental Sciences 16: 908-911 (in Chinese).
19. Luo, L., B. Qin, G. Zhu & Y. Zhang, 2004b. The current pattern of Meiliang Bay in the winter time. Hupo Kexue 16: 73-76 (in Chinese).
20. Ma, R. H. & J. Dai, 2005a. Chlorophyll-a concentration estimation with field spectra of water body near Meiliang Bay in Lake Taihu. Journal of Remote Sensing 9: 78-86 (in Chinese).
21. Ma, R. H. & J. F. Dai, 2005b. Investigation of chlorophylla and total suspended matter concentrations using Landsat ETM and field spectral measurement in Lake Taihu, China. International Journal of Remote Sensing 26: 2779-2795.
22. Ma, R., J. Tang & J. Dai, 2006. Bio-optical model with optimal parameter suitable for Lake Taihu in water colour remote sensing. International Journal of Remote Sensing 27: 4305-4328.
23. Ma, R., F. Kong, H. Duan, S. Zhang, W. Kong & J. Hao, 2008. Spatio-temporal distribution of cyanobacteria blooms based on satellite imageries in Lake Taihu, China. Hupo Kexue 20: 687-694 (in Chinese).
24. Miller, R. L. & B. A. McKee, 2004. Using MODIS terra 250 imagery to map concentrations of total suspended matter in coastal waters. Remote Sensing of Environment 93: 259-266.
25. Navarro, G. & J. Ruiz, 2006. Spatial and temporal variability of phytoplankton in the Gulf of Cadiz through remote sensing images. Deep-Sea Research Part II-Topical Studies in Oceanography 53: 1241-1260.
26. North, G. R., T. L. Bell, R. F. Cahalan & F. J. Moeng, 1982. Sampling errors in the estimation of empirical orthogonal functions. Monthly Weather Review 110: 699-706.
27. Oyama, Y., B. Matsushita, T. Fukushima, K. Matsushige & A. Imai, 2009. Application of spectral decomposition algorithm for mapping water quality in a turbid lake (Lake Kasumigaura, Japan) from Landsat TM data. ISPRS Journal of Photogrammetry and Remote Sensing 64: 73-85.
28. Qin, B., W. Hu, W. Chen, J. Ji, C. Fan, Y. Chen, X. Gao, L. Yang, G. Gao, W. Huang, J. Jiang, S. Zhang, Y. Liu & Z. Zhou, 2000. Studies on the hydrodynamic processes and related factors in Meiliang Bay, Northern Taihu. Hupo Kexue 12: 327-334 (in Chinese).
29. Qin, B. Q., P. Z. Xu, Q. L. Wu, L. C. Luo & Y. L. Zhang, 2007. Environmental issues of Lake Taihu, China. Hydrobiologia 581: 3-14.
30. Qin, B. Q., G. W. Zhu, G. Gao, Y. L. Zhang, W. Li, H. W. Paerl & W. W. Carmichael, 2010. A drinking water crisis in Lake Taihu, China: linkage to climatic variability and lake management. Environmental Management 45: 105-112.
31. Shu, X. Z., Q. Yin & D. B. Kuang, 2000. Relationship between algal chlorophyll concentration and spectral reflectance of inland waters. Journal of Remote Sensing 4: 41-45 (in Chinese)
32. Svab, E., A. N. Tyler, T. Preston, M. Presing & K. V. Balogh, 2005. Characterizing the spectral reflectance of algae in lake waters with high suspended sediment concentrations. International Journal of Remote Sensing 26: 919-928.
33. Tyler, A. N., E. Svab, M. Preston & W. A. Kovacs, 2006. Remote sensing of the water quality of shallow lakes: a mixture modelling approach to quantifying phytoplankton in water characterized by high suspended sediment. International Journal of Remote Sensing 27: 1521-1537.
34. Vermote, E. F. & A. Vermeulen, 1999. Atmospheric correction algorithm: spectral reflectance (MOD09). Algorithm Technical Background Document Version 4.0, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA.
35. Vermote, E. F., N. Z. El Saleous & C. O. Justice, 2002. Atmospheric correction of MODIS data in the visible to middle infrared: first results. Remote Sensing of Environment 83: 97-111.
36. Wang, Q. G., G. Gu & Y. Higano, 2006. Toward integrated environmental management for challenges in water environmental protection of Lake Taihu basin in China. Environmental Management 37: 579-588.
37. Wei, Y. C., J. Z. Huang, Y. M. Li & J. Guang, 2007. The hyperspectral data monitoring model of chlorophyll-a of summer in Lake Taihu, China. Journal of Remote Sensing 11: 756-762 (in Chinese).
38. Yang, D. T., D. L. Pan & X. Y. Zhang, 2005. Retrieval of water quality parameters by hyperspectral remote sensing in Lake Taihu, China, Spie-Int Society Optical Engineering. In: sings of the Society of Photo-Optical Instrumentation Engineers, Bellingham: 431-439.
39. Yang, M., J. W. Yu, Z. L. Li, Z. H. Guo, M. Burch & T. F. Lin, 2008. Lake Taihu not to blame for Wuxi's woes. Science 319: 158-158.
40. Yentsch, S. C., 1984. Remote assessment of ocean color for interpretation of satellite visible imagery: a review. The Quarterly Review of Biology 59: 348.
41. Yoder, J. A., S. E. Schollaert & J. E. O'Reilly, 2002. Climatological phytoplankton chlorophyll and sea surface temperature patterns in continental shelf and slope waters off the northeast US coast. Limnology and Oceanography 47: 672-682.
42. Yu, H., Q. M. Cai & J. L. Wu, 2003. Study on characteristic of the absorption and scattering coefficients of Lake Taihu waters. Advances in Water Science 14: 46-49 (in Chinese).
43. Yuan, D. & C. D. Elvidge, 1996. Comparison of relative radiometric normalization techniques. ISPRS Journal of Photogrammetry and Remote Sensing 51: 117-126.
44. Zhang, Y. L., M. L. Liu, B. Q. Qin, H. J. van der Woerd, J. S. Li & Y. L. Li, 2009. Modeling remote-sensing reflectance and retrieving chlorophyll-a concentration in extremely turbid case-2 waters (Lake Taihu, China). IEEE Transactions on Geoscience and Remote Sensing 47: 1937-1948.
45. Zhu, G. W., 2008. Eutrophic status and causing factors for a large, shallow and subtropical Lake Taihu, China. Hupo Kexue 20: 21-26 (in Chinese).