Remote sensing of euphotic depth in shallow tropical inland waters of Lake Naivasha using MERIS data

Remote Sensing of Environment

Volumn 148, Issue , 2014, Pages 178-189

  Majozi, Nobuhle P ^a,b   Salama, Mhd Suhyb ^b   Bernard, Stewart ^a   Harper, David M ^c   Habte, Mussie Ghirmai ^b  

^a Future production Chemicals Cluster   (South Africa)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

Diffuse attenuation coefficient; Euphotic depth; Lake Naivasha; MERIS; Remote sensing

Indexed keywords

ALGORITHMS; CLIMATE CHANGE; EUTROPHICATION; MEAN SQUARE ERROR; NEURAL NETWORKS; RADIOMETRY; REFLECTION; REMOTE SENSING; SPACE OPTICS; WATER QUALITY;

ATMOSPHERIC CORRECTION ALGORITHM; DIFFUSE ATTENUATION COEFFICIENTS; EUPHOTIC DEPTH; LAKE NAIVASHA; MEAN ABSOLUTE PERCENTAGE ERROR; MEDIUM RESOLUTION IMAGING SPECTROMETERS; MERIS; REMOTE-SENSING REFLECTANCE; INLAND WATERS; MERIS DATA;

LAKES; REMOTE SENSING;

ALGORITHM; ATMOSPHERIC CORRECTION; CALIBRATION; CLIMATE CHANGE; DATA SET; DIFFUSION; EUPHOTIC ZONE; HUMAN ACTIVITY; LIMNOLOGY; MERIS; REMOTE SENSING; SATELLITE DATA; TROPICAL ENVIRONMENT; WATER RESOURCE; IMAGE ANALYSIS; PIXEL; SHALLOW WATER; WATER QUALITY;

KENYA; LAKE NAIVASHA; RIFT VALLEY;

EID: 84898854055     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.03.025     Document Type: Article

References (101)

1. Aiken J., Moore G. ATBD case 2 (S) bright pixel atmospheric correction 2000, 2(4):1-14.
2. Aminot A. Standard procedure for the determination of chlorophyll a by spectroscopic methods 2000.
3. Austin R.W. Inherent spectral radiance signatures of the ocean surface. Ocean Color Analysis 1974, 7410:1-20.
4. Austin R.W., Petzold T.J. The determination of the diffuse attenuation coefficient of sea water using the Coastal Zone Color Scanner. Oceanography from Space 1981, 239-256.
5. Ayenew T., Becht R. Comparative assessment of the water balance and hydrology of selected Ethiopian and Kenyan rift lakes. Lakes & Reservoirs: Research & Management 2008, 13(3):181-196.
6. Ballot A., Kotut K., Novelo E., Krienitz L. Changes of phytoplankton communities in lakes Naivasha and Oloidien, examples of degradation and salinization of lakes in the Kenyan rift valley. Hydrobiologia 2009, 632(1):359-363.
7. Barnard A.H., Zaneveld J.R.V., Pegau W.S. Determination of the remotely sensed reflectance and the absorption coefficient: Closure and inversion. Applied Optics 1999, 38(24):5108-5117.
8. Barnes B.B., Hu C., Holekamp K.L., Blonski S., Spiering B.A., Palandro D., et al. Use of Landsat data to track historical water quality changes in Florida Keys marine environments. Remote Sensing of Environment 2014, 140:485-496.
9. Becht R., Chesterton M. Flower farming from a hydrologist's perspective: Are Marnie's roses, and the other millions of romantic bouquets, really responsible for draining the water of Lake Naivasha and polluting it with pesticides and fertilizer? 2010.
10. Becht R., Mwango F., Muno F.A. Groundwater links between Kenyan rift valley lakes 2006.
11. Becht R., Odada E.O., Higgins S. Lake Naivasha. Experience and lessons learned brief 2006.
12. Berger M., Moreno J., Johannessen J.A., Levelt P.F., Hanssen R.F. ESA's sentinel missions in support of Earth system science. Remote Sensing of Environment 2012, 120:84-90.
13. Bergner A., Trauth M., Bookhagen B. Paleoprecipitation estimates for the Lake Naivasha basin (Kenya) during the last 175ky using a lake-balance model. Global and Planetary Change 2003, 36(1):117-136.
14. Biswas A.K., Tortajada C. Water quality management: An introductory framework. Water Resources Development 2011, 27(01):5-11.
15. Buffan-Dubau E., Carman K.R. Extraction of benthic microalgal pigments for HPLC analyses. Marine Ecology Progress Series 2000, 204(1993):293-297.
16. Campbell G., Phinn S.R., Dekker A.G., Brando V.E. Remote sensing of water quality in an Australian tropical freshwater impoundment using matrix inversion and MERIS images. Remote Sensing of Environment 2011, 115(9):2402-2414.
17. Cartaxana P., Brotas V. Effects of extraction on HPLC quantification of major pigments from benthic microalgae. Hydrobiologie 2003, 157(3):339-349.
18. Chami M., Santer R., Dilligeard E. Radiative transfer model for the computation of radiance and polarization in an ocean-atmosphere system: Polarization properties of suspended matter for remote sensing. Applied Optics 2001, 40(15):2398-2416.
19. Chen J.M., Chen X., Ju W., Geng X. Distributed hydrological model for mapping evapotranspiration using remote sensing inputs. Journal of Hydrology 2005, 305(1-4):15-39.
20. Cui T., Zhang J., Groom S., Sun L., Smyth T., Sathyendranath S. Validation of MERIS ocean-color products in the Bohai Sea: A case study for turbid coastal waters. Remote Sensing of Environment 2010, 114(10):2326-2336.
21. Dekker A., Vos R., Peters S. Analytical algorithms for lake water TSM estimation for retrospective analyses of TM and SPOT sensor data. International Journal of Remote Sensing 2002, 23(1):15-35.
22. Doerffer R., Schiller H. MERIS regional coastal and lake case 2 water project atmospheric correction ATBD 2008, (Geesthacht, Germany, Rep.GKSS-KOF-MERIS-ATBD01, 1).
23. Donlon C., Berruti B., Buongiorno A., Ferreira M., Féménias P., Frerick J., et al. The global monitoring for environment and security (GMES) Sentinel-3 mission. Remote Sensing of Environment 2012, 120:37-57.
24. Gitelson A.A., Dall'Olmo G., Moses W., Rundquist D.C., Barrow T., Fisher T.R., et al. A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation. Remote Sensing of Environment 2008, 112(9):3582-3593.
25. Gitelson A.A., Schalles J.F., Hladik C.M. Remote chlorophyll-a retrieval in turbid, productive estuaries: Chesapeake Bay case study. Remote Sensing of Environment 2007, 109(4):464-472.
26. Gordon H.R. Dependence of the diffuse reflectance of natural waters on the sun angle. Limnology and Oceanography 1989, 1484-1489.
27. Haande S., Rohrlack T., Semyalo R.P., Brettum P., Edvardsen B., Lyche-Solheim A., et al. Phytoplankton dynamics and cyanobacterial dominance in Murchison Bay of Lake Victoria (Uganda) in relation to environmental conditions. Limnologica-Ecology and Management of Inland Waters 2011, 41(1):20-29.
28. Harper D., Mavuti K. Lake Naivasha, Kenya: Ecohydrology to guide the management of a tropical protected area. International Journal of Ecohydrology & Hydrobiology 2004, 4(3):287-305.
29. Harper D.M., Phillips G., Chilvers A., Kitaka N., Mavuti K. Eutrophication prognosis for Lake Naivasha, Kenya. Proceedings: International Association of Theoretical and Applied Limnology 1994, 25(2).
30. Hickley P., Muchiri M., Boar R., Britton R., Adams C., Gichuru N., et al. Habitat degradation and subsequent fishery collapse in lakes Naivasha and Baringo, Kenya. International Journal of Ecohydrology & Hydrobiology 2004, 4(4):503-517.
31. Holm-Hansen O., Riemann B. Chlorophyll a determination: Improvements in methodology. Oikos 1978, 30(3):438-447.
32. Hubble D.S., Harper D.M. Phytoplankton community structure and succession in the water column of Lake Naivasha, Kenya: A shallow tropical lake. Hydrobiologia 2002, 488(1):89-98.
33. Jensen J.R. Remote sensing of the environment: An earth resource perspective 2009, Pearson Education, India. 3rd ed.
34. Jin X., Li Y.M., Wang Q., Liu Z.H., Wang Y.F., Zhang H., et al. Primary productivity evaluation based on underwater light distribution in Chaohu Lake. Huan Jing Ke Xue 2011, 32(5):1257-1265.
35. Kalff J., Watson S. Phytoplankton and its dynamics in two tropical lakes: A tropical and temperate zone comparison. Hydrobiologia 1986, 138(1):161-176.
36. Kallio K. Water quality estimation by optical remote sensing in boreal lakes. Monographs of the, Boreal Environment Research 2012, 39.
37. Khanna D.R., Bhutiani R., Chandra K.S. Effect of the euphotic depth and mixing depth on phytoplanktonic growth mechanism. International Journal of Environmental Research 2009, 3(2):223-228.
38. Kiage L.M., Obuoyo J. The potential link between El Niño and water hyacinth blooms in Winam Gulf of Lake Victoria, East Africa: Evidence from satellite imagery. Water Resources Management 2011, 25:3931-3945.
39. Kirk J.T.O. Dependence of relationship between inherent and apparent optical properties of water on solar altitude. Limnology and Oceanography 1984, 29(2):350-356.
40. Kirk J.T.O. Light and photosynthesis in aquatic ecosystems 2011, Cambridge University Press, New York, USA. 3rd ed.
41. Kitaka N., Harper D.M., Mavuti K.M. Phosphorus inputs to Lake Naivasha, Kenya, from its catchment and the trophic state of the lake. Hydrobiologia 2002, 488(1):73-80.
42. Kitaka N., Harper D.M., Mavuti K.M., Pacini N. Chemical characteristics, with particular reference to phosphorus, of the rivers draining into Lake Naivasha, Kenya. Hydrobiologia 2002, 488:57-71.
43. Koehler A. Water use in LCA: Managing the planet's freshwater resources. The International Journal of Life Cycle Assessment 2008, 13(6):451-455.
44. Kona E., Mwiti C. Mysterious disease kills fish in L. Naivasha 2010, Kenya Broadcasting Cooperation.
45. Kratzer S., Brockmann C., Moore G. Using MERIS full resolution data to monitor coastal waters-A case study from Himmerfjärden, a fjord-like bay in the northwestern Baltic Sea. Remote Sensing of Environment 2008, 112(5):2284-2300.
46. Kratzer S., Håkansson B., Sahlin C. Assessing Secchi and photic zone depth in the Baltic Sea from satellite data. AMBIO: A Journal of the Human Environment 2003, 32(8):577-585.
47. Kratzer S., Vinterhav C. Improvement of MERIS level 2 products in Baltic Sea coastal areas by applying the improved contrast between ocean and land processor (ICOL)-data analysis and validation. Oceanologia 2010, 52(2):211-236.
48. Kundzewicz Z.W., Mata L.J., Arnell N.W., Döll P., Kabat P., Jiménez B., et al. Freshwater resources and their management: Climate change 2007: Impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change 2007, 73-210. Cambridge University Press, Cambridge, UK. M.L. Parry, O.F. Canziani, J.P. Palutikof, P.J. van der Linden, C.E. Hanson (Eds.).
49. Kutser T., Metsamaa L., Strömbeck N., Vahtmäe E. Monitoring cyanobacterial blooms by satellite remote sensing. Estuarine, Coastal and Shelf Science 2006, 67(1):303-312.
50. Lavender S.J., Pinkerton M.H., Moore G.F., Aiken J., Blondeau-Patissier D. Modification to the atmospheric correction of SeaWiFS Ocean colour images over turbid waters. Continental Shelf Research 2005, 25(4):539-555.
51. Lee Z.P., Darecki M., Carder K.L., Davis C.O., Stramski D., Rhea W.J. Diffuse attenuation coefficient of downwelling irradiance: An evaluation of remote sensing methods. Journal of Geophysical Research-Oceans 2005, 110(C2).
52. Levrini G., Delvart S. MERIS product handbook 2011.
53. Loisel H., Stramski D. Estimation of the inherent optical properties of natural waters from the irradiance attenuation coefficient and reflectance in the presence of Raman scattering. Applied Optics 2000, 39(18):3001-3011.
54. Malenovský Z., Rott H., Cihlar J., Schaepman M.E., García-Santos G., Fernandes R., et al. Sentinels for science: Potential of sentinel-1, -2, and -3 missions for scientific observations of ocean, cryosphere, and land. Remote Sensing of Environment 2012, 120:91-101.
55. Marrari M., Hu C., Daly K. Validation of SeaWiFS chlorophyll a concentrations in the southern ocean: A revisit. Remote Sensing of Environment 2006, 105(4):367-375.
56. 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 Sensing of Environment 2010, 114(9):2070-2087.
57. Mavuti K.M., Litterick M.R. Species composition and distribution of zooplankton in a tropical lake, Lake Naivasha, Kenya. Archiv Fur Hydrobiologie. Stuttgart 1981, 93(1):52-58.
58. Mobley C.D. Light and water: Radiative transfer in natural waters 1994, Academic Press, San Diego, CA.
59. Mobley C.D. Estimation of the remote-sensing reflectance from above-surface measurements. Applied Optics 1999, 38(36):7442-7455.
60. Morel A., Berthon J.F. Surface pigments, algal biomass profiles, and potential production of the euphotic layer: Relationships reinvestigated in view of remote-sensing applications. Limnology and Oceanography 1989, 1545-1562.
61. Morel A., Gentili B. Diffuse reflectance of oceanic waters. III. Implication of bidirectionality for the remote-sensing problem. Applied Optics 1996, 35(24):4850-4862.
62. Morel A., Loisel H. Apparent optical properties of oceanic water: Dependence on the molecular scattering contribution. Applied Optics 1998, 37(21):4765-4776.
63. Morrison E.H.J., Harper D.M. Ecohydrological principles to underpin the restoration of cyperus papyrus at Lake Naivasha, Kenya. Ecohydrology & Hydrobiology 2009, 9(1):83-97.
64. Moses W.J., Gitelson A.A., Berdnikov S., Saprygin V., Povazhnyi V. Operational MERIS-based NIR-red algorithms for estimating chlorophyll-a concentrations in coastal waters-The Azov Sea case study. IEEE Geoscience and Remote Sensing Letters 2009, 4(6):845-849.
65. Moses W.J., Gitelson A.A., Berdnikov S., Saprygin V., Povazhnyi V. Operational MERIS-based NIR-red algorithms for estimating chlorophyll-a concentrations in coastal waters - the Azov Sea case study. Remote Sensing of Environment 2012, 121:118-124.
66. Mueller J.L. SeaWiFS algorithm for the diffuse attenuation coefficient, K (490), using water-leaving radiances at 490 and 555nm 2000, 11:24-27.
67. Mueller J.L., Bidigare R., Trees C., Balch W., et al. Ocean optics protocols for satellite ocean color sensor validation, revision 5, volume V: Biogeochemical and bio-optical measurements and data analysis protocols. NASA Technical Memo 2003, 36.
68. Mutia S.M. Lakes water quality monitoring and management programme in developing countries 2006.
69. Nieke B., Reuter R., Heuermann R., Wang H., Babin M., Therriault J.C. Light absorption and fluorescence properties of chromophoric dissolved organic matter (CDOM), in the St. Lawrence estuary (case 2 waters). Continental Shelf Research 1997, 17(3):235-252.
70. ODESA-ACR-QSG ACRI-ST ODESA software distribution: Quick study guide ESA 2012, (Retrieved from http://earth.eo.esa.int/odesa/).
71. Olmanson L.G., Bauer M.E., Brezonik P.L. A 20-year Landsat water clarity census of Minnesota's 10,000 lakes. Remote Sensing of Environment 2008, 112(11):4086-4097.
72. Otian'a-Owiti G.E., Abiya Oswe I. Human impact on lake ecosystems: The case of Lake Naivasha, Kenya. African Journal of Aquatic Science 2007, 32(1):79-88.
73. Otieno P.O., Schramm K., Pfister G., Lalah J.O., Ojwach S.O., Virani M. Spatial distribution and temporal trend in concentration of carbofuran, diazinon and chlorpyrifos ethyl residues in sediment and water in Lake Naivasha, Kenya. Bulletin of Environmental Contamination and Toxicology 2012, 88:526-532.
74. Owen T. Fundamentals of modern UV-visible spectroscopy 2000, Agilent Technologies, Germany.
75. Paerl H.W., Hall N.S., Calandrino E.S. Controlling harmful cyanobacterial blooms in a world experiencing anthropogenic and climatic-induced change. Science of the Total Environment 2011, 409(10):1739-1745.
76. Palaniappan M., Gleick P.H., Allen L., Cohen M.J., Christian-Smith J., Smith C. Clearing the waters: A focus on water quality solutions 2010.
77. Parry M.L., Canziani J.P., Palutikof P.J., van der Linden P., Hanson C. Climate Change 2007: Impacts, Adaptation and Vulnerability Working Group II contribution to the Intergovernmental Panel on Climate Change fourth assessment report 2007, University Press, Cambridge, UK.
78. Pápista É., Acs E., Böddi B. Chlorophyll-a determination with ethanol-a critical test. Hydrobiologia 2002, 485(1):191-198.
79. Phlips J., Lynch T.C., Badylak S. Chlorophyll a, tripton, color, and light availability in a shallow tropical inner-shelf lagoon, Florida Bay, USA. Marine Ecology Progress Series 1995, 127:223-234.
80. Pierson D.C., Kratzer S., Strömbeck N., Håkansson B. Relationship between the attenuation of downwelling irradiance at 490nm with the attenuation of PAR (400nm-700nm) in the Baltic Sea. Remote Sensing of Environment 2008, 112(3):668-680.
81. Pimentel D., Houser J., Preiss E., White O., Fang H., Mesnick L., et al. Water resources: Agriculture, the environment, and society. Bioscience 1997, 47(2):97-106.
82. Preisendorfer R.W. Secchi disk science: Visual optics of natural waters. Limnology and Oceanography 1986, 909-926.
83. Randolph K., Wilson J., Tedesco L., Li L., Pascual D.L., Soyeux E. Hyperspectral remote sensing of cyanobacteria in turbid productive water using optically active pigments, chlorophyll a and phycocyanin. Remote Sensing of Environment 2008, 112(11):4009-4019.
84. Remote sensing of aquatic coastal ecosystem processes: Science and management applications 2006, Springer. L.L. Richardson, E.F. LeDrew (Eds.).
85. Robarts R.D., Zohary T. Microcystis aeruginosa and underwater light attenuation in a hypertrophic lake (Hartbeespoort dam, South Africa). Journal of Ecology 1984, 72(3):1001-1017.
86. Ruiz-Verdú A., Koponen S., Heege T., Doerffer R., Brockmann C., Kallio K., et al. Development of MERIS lake water algorithms: Validation results from Europe. Paper presented at the Proceedings of the 2nd MERIS/(A) ATSR User Workshop 2008, Frascati, Italy.
87. Sartory D.P., Grobbelaar J.U. Extraction of chlorophyll a from freshwater phytoplankton for spectrophotometric analysis. Hydrobiologia 1984, 114(3):177-187.
88. Scheffer M. Ecology of shallow lakes 2004, Springer.
89. Schmugge T.J., Kustas W.P., Ritchie J.C., Jackson T.J., Rango A. Remote sensing in hydrology. Advances in Water Resources 2002, 25(8-12):1367-1385.
90. Schroeder T., Behnert I., Schaale M., Fischer J., Doerffer R. Atmospheric correction algorithm for MERIS above case-2 waters. International Journal of Remote Sensing 2007, 28(7):1469-1486.
91. Shang S., Lee Z., Wei G. Characterization of MODIS-derived euphotic zone depth: Results for the China Sea. Remote Sensing of Environment 2011, 115(1):180-186.
92. World water resources 1998, United Nations Educational, Scientific and Cultural Organization, Paris. I.A. Shiklomanov (Ed.).
93. Simis S.G.H., Peters S.W.M., Gons H.J. Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water. Limnology and Oceanography 2005, 237-245.
94. Tang S., Chen C., Zhan H., Xu D., Liu D. Retrieval of euphotic layer depth of South China Sea by remote sensing. Journal of Tropical Oceanography 2007, 1.
95. Volpe V., Silvestri S., Marani M. Remote sensing retrieval of suspended sediment concentration in shallow waters. Remote Sensing of Environment 2011, 115(1):44-54.
96. Vörösmarty C.J., McIntyre P., Gessner M.O., Dudgeon D., Prusevich A., Green P., et al. Global threats to human water security and river biodiversity. Nature 2010, 467(7315):555-561.
97. Wang M., Shi W., Tang J. Water property monitoring and assessment for China's inland Lake Taihu from MODIS-aqua measurements. Remote Sensing of Environment 2011, 115(3):841-854.
98. Wright S., Jeffrey S. High-resolution HPLC system for chlorophylls and carotenoids of marine phytoplankton. Monographs on Oceanographic Methodology 1997, 10.
99. Zaneveld J.R.V., Kitchen J.C., Mueller J.L. Vertical structure of productivity and its vertical integration as derived from remotely sensed observations. Limnology and Oceanography 1993, 1384-1393.
100. Zhang Y., Qin B., Hu W., Wang S., Chen Y., Chen W. Temporal-spatial variations of euphotic depth of typical lake regions in Lake Taihu and its ecological environmental significance. Science in China Series D: Earth Sciences 2006, 49(4):431-442.
101. Zhu J., Chen J., Matsushita B., Yang W., Fukushima T. Atmospheric correction of ENVISAT/MERIS data over case II waters: The use of black pixel assumption in oxygen and water vapour absorption bands. International Journal of Remote Sensing 2012, 33(12):3713-3732.