An adaptive model to monitor chlorophyll-a in inland waters in southern Quebec using downscaled MODIS imagery

Remote Sensing

Volumn 6, Issue 7, 2014, Pages 6446-6471

  El Alem, Anas ^a   Chokmani, Karem ^a   Laurion, Isabelle ^a   El Adlouni, Sallah E ^b  

^a CENTRE EAU TERRE ENVIRONNEMENT   (Canada)

^b UNIVERSITÉ DE MONCTON   (Canada)

Author keywords

CART; Chl a; Classification; HABs; Inland waters; MODIS; Multivariate regression; Remote sensing; Stepwise

Indexed keywords

CHLOROPHYLL; CLASSIFICATION (OF INFORMATION); REGRESSION ANALYSIS; REMOTE SENSING; EXPONENTIAL FUNCTIONS; RADIOMETERS;

CART; CHL-A; HABS; INLAND WATERS; MODIS; MULTIVARIATE REGRESSION; STEPWISE;

RADIOMETERS; REMOTE SENSING;

EID: 84904479645     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs6076446     Document Type: Article

References (48)

1. Carder, K.L.; Chen, F.R.; Lee, Z.P.; Hawes, S.K.; Kamykowski, D. Semianalytic moderate-resolution imaging spectrometer algorithms for chlorophyll A and absorption with bio-optical domains based on nitrate-depletion temperatures. J. Geophys. Res. 1999, 104, 5403-5421.
2. Baruah, P.J.; Tumura, M.; Oki, K.; Nishimura, H. Neural network modeling of lake surface chlorophyll and sediment content from Landsat TM imagery. In Proceedings of the 22nd Asian Conference on Remote Sensing, Singapore, 5-9 November 2001; p. 6.
3. Vincent, R.K.; Qin, X.; McKay, R.M.L.; Miner, J.; Czajkowski, K.; Savino, J.; Bridgeman, T. Phycocyanin detection from LANDSAT TM data for mapping cyanobacterial blooms in Lake Erie. Remote Sens. Environ. 2004, 89, 381-392.
4. Semovski, S.V.; Mogilev, N.Y.; Sherstyankin, P.P. Lake Baikal ice: Analysis of AVHRR imagery and simulation of under-ice phytoplankton bloom. J. Mar. Syst. 2000, 27, 117-130.
5. Hu, C.; Chen, Z.; Clayton, T.D.; Swarzenski, P.; Brock, J.C.; Muller, K.F.E. Assessment of estuarine water-quality indicators using MODIS medium-resolution bands: Initial results from Tampa Bay. Remote Sens. Environ. 2004, 93, 423-441.
6. Matthews, M.W.; Bernard, S.; Winter, K. Remote sensing of cyanobacteria-dominant algal blooms and water quality parameters in Zeekoevlei, a small hypertrophic lake, using MERIS. Remote Sens. Environ. 2010, 114, 2070-2087.
7. Wheeler, S.M.; Morrissey, L.A.; Levine, S.N.; Livingston, G.P.; Vincent, W.F. Mapping cyanobacterial blooms in Lake Champlain's Missisquoi Bay using QuickBird and MERIS satellite data. J. Gt. Lakes Res. 2012, 38, 68-75.
8. 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 Sens. Environ. 2005, 96, 176-187.
9. 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 Sens. Environ. 2008, 112, 3582-3593.
10. Gitelson, A.A.; Kondratyev, K.Y. Optical models of mesotrophic and eutrophic water bodies. 1991, 12, 373-385.
11. Gitelson, A.A.; Schalles, J.F.; Hladik, C.M. Remote chlorophyll-a retrieval in turbid, productive estuaries: Chesapeake Bay case study. Remote Sens. Environ. 2007, 109, 464-472.
12. Gons, H.J.; Rijkeboer, M.; Ruddick, K.G. A chlorophyll-retrieval algorithm for satellite imagery (Medium Resolution Imaging Spectrometer) of inland and coastal waters. J. Plankton Res. 2002, 24, 947-951.
13. Kahru, M.; Mitchell, B.G.; Diaz, A.; Miura, M. MODIS detects a devastating algal bloom in Paracas Bay, Peru. Earth Observ. Satell. 2004, 85, 465-472.
14. Aiken, J.; Fishwick, J.R.; Lavender, S.J.; Barlow, R.; Moore, G.F.; Sessions, H.; Bernard, S.; Ras, J.; Hardman-Mountford, N.J. Validation of MERIS reflectance and chlorophyll during the BENCAL cruise October 2002: Preliminary validation of new demonstration products for phytoplankton functional types and photosynthetic parameters. Int. J. Remote Sens. 2007, 30, 497-516.
15. Becker, R.H.; Sultan, M.I.; Boyer, G.L.; Twiss, M.R.; Konopko, E. Mapping cyanobacterial blooms in the Great Lakes using MODIS. J. Great Lakes Res. 2009, 35, 447-453.
16. Darecki, M.; Stramski, D. An evaluation of MODIS and SeaWiFS bio-optical algorithms in the Baltic Sea. Remote Sens. Environ. 2004, 89, 326-350.
17. Giardino, C.; Bresciani, M.; Pilkaityte, R.; Bartoli, M.; Razinkovas, A. In situ measurements and satellite remote sensing of case 2 waters: First results from the Curonian Lagoon. Oceanologia 2010, 52, 197-210.
18. Gons, H.J. Optical teledetection of chlorophyll a in turbid inland waters. Environ. Sci. Technol. 1999, 33, 1127-1132.
19. González Vilas, L.; Spyrakos, E.; Torres Palenzuela, J.M. Neural network estimation of chlorophyll a from MERIS full resolution data for the coastal waters of Galician Rias (NW Spain). Remote Sens. Environ. 2011, 115, 524-535.
20. Pinkerton, M.H.; Richardson, K.M.; Boyd, P.W.; Gall, M.P.; Zeldis, J.; Oliver, M.D.; Murphy, R.J. Intercomparison of ocean colour band-ratio algorithms for chlorophyll concentration in the subtropical front east of New Zealand. Remote Sens. Environ. 2005, 97, 382-402.
21. Liu, W.; Liu, Y.; Mannaerts, C.M.; Wu, G. Monitoring variation of water turbidity and related environmental factors in Poyang lake National Nature Reserve, China. Proc. SPIE 2007, 6754, doi:10.1117/12.764879.
22. Hu, C. A novel ocean color index to detect floating algae in the global oceans. Remote Sens. Environ. 2009, 113, 2118-2129.
23. Huisman, J.; Matthijs, H.C.P.; Visser, P.M. Harmful Cyanobacteria; Springer: Dordrecht, The Netherlands, 2005; Volume 3.
24. El-Alem, A.; Chokmani, K.; Laurion, I.; El-Adlouni, S.E. Comparative analysis of four models to estimate chlorophyll-a concentration in Case II waters using MOderate Resolution Imaging Spectroradiometer (MODIS) Imagery. Remote Sens. 2012, 4, 2373-2400.
25. 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. Environ. Res. Lett. 2009, 4, 045005.
26. Moses, W.J.; Gitelson, A.A.; Perk, R.L.; Gurlin, D.; Rundquist, D.C.; Leavitt, B.C.; Barrow, T.M.; Brakhage, P. Estimation of chlorophyll-a concentration in turbid productive waters using airborne hyperspectral data. Water Res. 2012, 46, 993-1004.
27. 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 Res. 2011, 45, 2428-2436.
28. Shi, K.; Li, Y.; Li, L.; Lu, H.; Song, K.; Liu, Z.; Xu, Y.; Li, Z. Remote chlorophyll-a estimates for inland waters based on a cluster-based classification. Sci. Total Environ. 2013, 444, 1-15.
29. Yu, G.; Yang, W.; Matsushita, B.; Li, R.; Oyama, Y.; Fukushima, T. Remote estimation of Chlorophyll-a in inland waters by a NIR-Red-based algorithm: Validation in Asian lakes. Remote Sens. 2014, 6, 3492-3510.
30. Trishchenko, A.P.; Luo, Y.; Khlopenkov, K.V.; Park, W.M. Multi-Spectral Clear-Sky Composites of MODIS/Terra Land Channels (B1-B7) Over Canada at 250 m Spatial Resolution and 10-Day Intervals Since March, 2000: Top of the Atmosphere (TOA) Data. Available online: http://geogratis.gc.ca/api/beta/en/nrcan-rncan/ess-sst/c133a159-76d7-5ad3-a0dc-6f68c547e519.html (accessed on 1 December 2001).
31. Centre d'Expertise en Analyse Environnementale du Québec (CEAEQ). Détermination de la Chlorophylle a: Méthode par Fluorométrie, MA. 800-Chlor. 1.0, Rév. 2; Mnistère du Développement Durable, de l'Environnement et des Parcs du Québec: Québec, QC, Canada, 2012; p. 16.
32. Chorus, I.; Bartram, J. Toxic cyanobacteria in water. In A Guide to Their Public Health Consequences, Monitoring and Management; WHO. E & FN Spon: London, UK, 1999; p. 416.
33. Centre d'Expertise en Analyse Environnementale du Québec (CEAEQ). Dépistage des Cyanobactéries, MA. 800-Cya.dep 1.0; Mnistère du Développement Durable, de l'Environnement et des Parcs du Québec: Québec, QC, Canada, 2012; p. 16.
34. Trishchenko, A.P.; Luo, Y.; Khlopenkov, K.V. A method for downscaling MODIS land channels to 250 m spatial resolution using adaptive regression and normalization. Remote Sens. Environ. Monit. 2006, 6366, 36607-36607.
35. Moran, M.S.; Inoue, Y.; Barnes, E.M. Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sens. Environ. 1997, 61, 319-346.
36. Rahman, H. Influence of atmospheric correction on the estimation of biophysical parameters of crop canopy using satellite remote sensing. Int. J. Remote Sens. 2001, 22, 1245-1268.
37. Rahman, H.; Dedieu, G. SMAC: A simplified method for the atmospheric correction of satellite measurements in the solar spectrum. Int. J. Remote Sens. 1994, 15, 123-143.
38. Vermote, E.F.; Tanre, D.; Deuze, J.L.; Herman, M.; Morcette, J.J. Second simulation of the satellite signal in the solar spectrum, 6S: An overview. IEEE Trans. Geosci. Remote Sens. 1997, 35, 675-686.
39. Berk, A.; Anderson, G.P.; Bernstein, L.S.; Acharya, P.K.; Dothe, H.; Matthew, M.W.; Adler-Golden, S.M.; Chetwynd, J.H.; Richtsmeier, S.C.; Pukall, B. MODTRAN 4 radiative transfer modeling for atmospheric correction. Proc. SPIE 1999, 3756, 348-353.
40. Richter, R. A spatially adaptive fast atmospheric correction algorithm. Int. J. Remote Sens. 1996, 17, 1201-1214.
41. Chavez, P.S. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sens. Environ. 1988, 24, 459-479.
42. Chavez, P.S. Image-based atmospheric correction-Revisited and improved. Photogramm. Eng. Remote Sens. 1996, 62, 1025-1036.
43. Norjamäki, I.; Tokola, T. Comparison of atmospheric correction methods in mapping timber volume with multitemporal Landsat images in Kainuu, Finland. Photogramm. Eng. Remote Sens. 2007, 73, 155-163.
44. Breiman, L.; Friedman, J.; Stone, C.J.; Olshen, R.A. Classification and Regression Trees, 1st ed.; Chapman & Hall/CRC: Boca Raton, FL, USA, 1984; p. 368.
45. Draper, N.R.; Smith, H. Applied Regression Analysis; Wiley-Interscience: New York, NY, USA, 1998; pp. 307-312.
46. Mackie, T.N. Public Health Surveillance of Toxic Cyanobacteria in Freshwater Systems Using Remote Detection Methods. Ph.D. Thesis, University of California, Berkeley, CA, USA, 2010.
47. Bastien, C.; Cardin, R.; Veilleux, E.; Deblois, C.; Warren, A.; Laurion, I. Performance evaluation of phycocyanin probes for the monitoring of cyanobacteria. J. Environ. Monit. 2011, 13, 110-118.
48. MacIntyre, H.; Lawrenz, E.; Richardson, T. Taxonomic discrimination of phytoplankton by spectral fluorescence. In Chlorophyll a Fluorescence in Aquatic Sciences: Methods and Applications; Suggett, D.J., Borowitzka, M.A., Prášil, O., Eds.; Springer Netherlands: Dordrecht, The Netherlands, 2010; Volume 4, pp. 129-169.