A multivariate model for coastal water quality mapping using satellite remote sensing images

Sensors

Volumn 8, Issue 10, 2008, Pages 6321-6339

  Su, Yuan Fong ^a   Liou, Jun Jih ^a   Hou, Ju Chen ^a   Hung, Wei Chun ^a   Hsu, Shu Mei ^a   Lien, Yi Ting ^a   Su, Ming Daw ^a   Cheng, Ke Sheng ^a   Wang, Yeng Fung ^b  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b MINISTRY OF ECONOMIC AFFAIRS   (Taiwan)

Author keywords

Coastal water quality; Environmental monitoring; Remote sensing; Water quality mapping

Indexed keywords

COASTAL WATER QUALITY; ENVIRONMENTAL MONITORING; QUALITY MAPPING; SATELLITE REMOTE SENSING; SPECTRAL REFLECTANCE ESTIMATIONS; TOTAL SUSPENDED SOLIDS; WATER QUALITY SAMPLING; WATER QUALITY VARIABLES;

ESTIMATION; IMAGE RECONSTRUCTION; PHOTOMAPPING; REFLECTION; REMOTE SENSING; SATELLITES; SEAWATER EFFECTS;

WATER QUALITY;

EID: 55249087475     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s8106321     Document Type: Article

References (38)

1. Lillesand, T.M.; Johnson, W.L.; Deuell, R.L.; Lindstorm, O.M.; Meisner, D.E. Use of Landsat data to predict the trophic state of Minnesota lakes. Photogramm. Eng. Remote S. 1983, 49, 219-229.
2. Han, L. Spectral reflectance with varying suspended sediment concentrations in clear and algaeladen Waters. Photogramm. Eng. Remote S. 1997, 63, 701-705.
3. Han, L.; 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 Sens. Environ. 1997, 62, 253-261.
4. Thiemann, S.; Kaufmann, H. Determination of chlorophyll content and trophic state of lakes using field spectrometer and IRS-1C satellite data in the Mecklenburg Lake District, Germany. Remote Sens. Environ 2000, 73, 227-235.
5. Cheng, K.S.; Lei, T.C. Reservoir trophic state evaluation using Landsat TM images. J. Am. Water Res. Assoc. 2001, 37 (5), 1321-1334.
6. Giardino, C.; Pepe, M.; Brivio, P.A.; Ghezzi, P.; Zilioli, E. Detecting chlorophyll, Secchi disk depth and surface temperature in a sub-alpine lake using Landsat imagery. Sci. Total Environ. 2001, 268, 19-29.
7. Kloiber, S.M.; Brezonik, P.L.; Olmanson, L.G.; Bauer, M.E. A procedure for regional lake water clarity assessment using Landsat multispectral data. Remote Sens. Environ 2002, 82, 38-47.
8. Wang, Y.; Xia, H.; Fu, J.; Sheng, G. Water quality change in reservoirs of Shenzhen, China: detection using Landsat/TM data. Sci. total environ 2004, 328, 195-206.
9. Tang, D.L.; Kester, D.R.; Ni, I.H.; Qi, Y.Z.; Kawamura, H. In situ and satellite observations of a harmful algal bloom and water condition at the Pearl River estuary in late autumn 1998. Harmful Algae 2003, 2, 89-99.
10. Tang, D.L.; Kawamura, H.; Oh, I.S.; Baker, J. Satellite evidence of harmful algal blooms and related oceanographic features in the Bohai Sea during autumn 1998. Adv. Space Res. 2006, 37, 681-689.
11. Shanmugam, P.; Ahn, Y.H.; Ram, P.S. SeaWiFS sensing of hazardous algal blooms and their underlying mechanisms in shelf-slope waters of the Northwest Pacific during summer. Remote Sens. Environ. 2008, 112, 3248-3270.
12. Wei, G.F.; Tang, D.L.; Wang, S. Distribution of chlorophyll and harmful algal blooms (HABs): A review on space based studies in the coastal environments of Chinese marginal seas. Adv. Space Res. 2008, 41, 12-19.
13. Bagheri, S.; Dios, R.A. Chlorophyll-a estimation in New Jersey's coastal waters using Thematic Mapper data. Int. J. Remote Sens. 1990, 11, 289-299.
14. Khorram, S.; Cheshire, H.; Geraci, A.L.; Rosa, G.L. Water quality mapping of Augusta Bay, Italy from Landsat_TM data. Int. J. Remote Sens. 1991, 12, 803-808.
15. Ekstrand, S. Landsat TM based quantification of chlorophyll-a during algae blooms in coastal waters. Int. J. Remote Sens 1992, 13, 1913-1926.
16. Lavery, P.; Pattiaratchi, C.; Wyllie, A.; Hick, P. Water quality monitoring in estuarine waters using the Landsat Thematic Mapper. Remote Sens. Environ. 1993, 46, 268-280.
17. Tassan, S. An improved in-water algorithm for the determination of chlorophyll and suspended sediment concentration from Thematic Mapper Data in coastal waters. Int. J. Remote Sens. 1993, 14 (6), 1221-1229.
18. Pattiaratchi, C.; Lavery, P.; Wyllie, A.; Hick, P. Estimates of water quality in coastal waters using multi-date Landsat Thematic Mapper data. Int. J. Remote Sens. 1994, 15, 1571-1584.
19. Lin, I.I.; Wen, L.S.; Liu, G.R.; Liu, K.K. Retrieval of suspended particulate matter and chlorophyll-a concentration in a highly turbid tropical river by in situ bio-optical data - a case study. Photogramm. Eng. Remote S. 2002, 7, 75-85.
20. Gin, K.Y.H.; Koh, S.T.; Lin, I.I. Spectral irradiance profiles of suspended marine clay for the estimation of suspended sediment concentration in tropical waters. Int. J. Remote Sens. 2003, 24 (16), 3235-3245.
21. Oyama, Y; Matsushita, B.; Fukushima, T.; Nagai, T.; Imai, A. A new algorithm for estimating chlorophyll-a concentration from multi-spectral satellite data in case II waters: a simulation based on a controlled laboratory experiment. Int. J. Remote Sens. 2007, 28 (7), 1437-1453.
22. Tomascik, T.; Sander, F. Effects of eutrophication on reef-building corals. I. Growth rate of the building coral Montastrea annularis. Mar. Biol. 1985, 87, 143-155.
23. 15N in symbiotic dinoflagellates and their coral hosts. Mar. Ecol. Prog. Ser. 2004, 280, 105-114.
24. Koponen, S.; Pulliainen, J.; Kallio, K.; Hallikainen, M. Lake water quality classification with airborne hyperspectral spectrometer and simulated MERIS data. Remote Sens. Environ. 2002, 79, 51-59.
25. Schott, J.R. Remote Sensing. Oxford University Press: New York, USA, 1997; p. 394.
26. Teng, S.P.; Chen, Y.K.; Cheng, K.S.; Lo, H.C. Hypothesis-test-based landcover change detection using multitemporal satellite images. Adv. Space Res. 2008, 41, 1744-1754.
27. Chavez, P.S. Jr. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sens. Eenviron. 1988, 24, 459-479.
28. Khorram, S. Water quality mapping from Landsat digital data. Int. J. Remote Sens. 1981, 2, 145-153.
29. Khorram, S. Remote sensing of water quality in the Neuse River Estuary, North Carolina. Photogramm. Eng. Remote S. 1985, 51, 329-341.
30. Rimmer, J.C.; Collins, M.B.; Pattiaratchi, C.B. Mapping of water quality in coastal waters using airborne thematic mapper data. Int. J. Remote Sens. 1987, 8, 85-102.
31. Tassan, S. Evaluation of the potential of the thematic mapper for marine application. Int. J. Remote Sens. 1987, 8, 1455-1478.
32. Ritchie, J.C.; Cooper, C.M. Comparison of measured suspended sediment concentrations with suspended sediment concentrations estimated from Landsat MSS data. Int. J. Remote Sens. 1988, 9 (3), 379-387.
33. Prangsma, G.J.; Roozekrans, J.N. Using NOAA AVHRR imagery in assessing water quality parameters. Int. J. Remote Sens. 1989, 10, 811-818.
34. Populus, J.; Hastuti, W.; Martin, J.L.M.; Guelorget, O.; Sumartono, B.; Wibowo, A. Remote sensing as a tool for diagnosis of water quality in Indonesian seas. Ocean Coast. Manag. 1995, 27, 197-215.
35. Härmä, P.; Vepsäläinen, J.; Hannonen, T.; Pyhälahti, T.; Kämäri, J.; Kallio, K.; Eloheimo, K.; Koponen, S. Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland. Sci. Total Environ. 2001, 268, 107-121.
36. Doxaran, D.; Froidefond, J.M.; Lavender, S.; Castaing, P. Spectral signature of highly turbid waters - Application with SPOT data to quantify suspended particulate matter concentrations. Remote Sens. Environ 2002, 81, 149-161.
37. Cannizzaro, J.P.; Carder, K.L. Estimating chlorophyll a concentrations from remote-sensing reflectance in optically shallow waters. Remote Sens. Environ 2006, 101, 13-24.
38. Dunteman, G.H. Introduction to Multivariate Analysis. Sage Publications: Beverly Hills, CA, 1984; p. 237.