Fisheries applications of remote sensing: An overview

Fisheries Research

Volumn 148, Issue , 2013, Pages 124-136

  Klemas, Victor ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

Fish detection; Fisheries forecasts; Fisheries management; Fisheries remote sensing

Indexed keywords

EID: 84888206187     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fishres.2012.02.027     Document Type: Article

References (173)

1. Andrade H.A., Garcia A.E. Skipjack tuna in relation to sea surface temperature off the southern Brazilian coast. Fisheries Oceanography 1999, 8:245-254.
2. A.P.T., 2006. Depletion of ocean fisheries. Aquaculture Production Technology, Ltd. (accessed October 4, 2011). http://www.aquaculture.co.il/markets/deterioration.html.
3. Andréfouët S., Gilbert A., Yan L., Remoissenet G., Payri C., Chancerelle Y. The remarkable population size of the endangered clam Tridacna maxima assessed in Fangatau atoll (Eastern Tuamotu, French Polynesia) using in situ and remote sensing data. ICES Journal of Marine Science 2005, 62:1037-1048.
4. Arnone R.A., Parsons A.R. Real-time use of ocean color remote sensing for coastal monitoring. Remote Sensing of Coastal Aquatic Environments 2005, Springer, Dordrecht, The Netherlands. Miller, DelCastillo, McKee (Eds.).
5. Avery T.E., Berlin G.L. Fundamentals of Remote Sensing and Airphoto Interpretation 1992, Macmillan Publishing Company, New York.
6. Bagheri S., Peters S., Yu T. Retrieval of water quality constituents concentrations from AVIRIS data in Hudson/Raritan Estuary. International Journal of Remote Sensing 2005, 26:4013-4027.
7. Bailey S.W., Werdell P.J. A multi-sensor approach for the on-orbit of ocean color satellite data products. Remote Sensing of Environment 2006, 102:12-23.
8. Balch W., Evans R., Brown J., Feldman G., McLain C., Esaias W. The remote sensing of ocean primary productivity. Use of a new data compilation to test satellite algorithms. Journal of Geophysical Research 1992, 97:2279-2293.
9. Barre H.M.J., Duismann B., Kerr Y.H. SMOS: the mission and the system. IEEE Transactions on Geoscience and Remote Sensing 2008, 46:587-593.
10. Barton I.J. Satellite-derived sea surface temperatures: current status. Journal of Geophysical Research 1995, 100:8777.
11. Behrenfeld M.J., Boss E., Siegel D.A., Shea D.M. Carbon-based ocean productivity and phytoplankton physiology from space. Global Biogeochemical Cycles 2005, 19:14. (GB1006).
12. Behrenfeld M., Falkowski P. Photosynthetic rates derived from satellite-based chlorophyll concentration. Limnology and Oceanography 1997, 42:1-20.
13. Belkin, I.M., 2005. Oceanic fronts in large marine ecosystems. Final Report to the United Nations Environment Programme, 49 p. (64 maps).
14. Belkin I.M., Cornillon P.C. SST fronts of the Pacific coastal and marginal seas. Pacific Oceanography 2003, 1:90-113.
15. Belkin, I.M., Cornillon, P.C., 2007. Fronts in the world ocean's large marine ecosystems. International Council for the Exploration of the Sea. ICES CM 2007/D:21.
16. Bergeron E., Worley C.R., O'Brien T. Progress in the development of shallow water mapping systems. Sea Technology 2007, (June).
17. Bissett W.P., Arnone R.A., Davis C.O., Dickey T.D., Dye D., Kohler D.D.R., Gould R.W. From meters to kilometers: a look at ocean-color scales of variability, spatial coherence, and the need for fine-scale remote sensing in coastal ocean optics. Oceanography 2004, (June):33-43.
18. Borstad G.A., Hill D.A., Kerr R.C., Nakashima B.S. Direct digital remote sensing of herring schools. International Journal of Remote Sensing 1992, 13:2191-2198.
19. Boswell K.M., Wilson M.P., Wilson C.A. Hydroacoustics as a tool for assessing fish biomass and size distribution associated with discrete shallow water estuarine habitats in Louisiana. Estuaries and Coasts 2007, 30:607-617.
20. Brandt S.B. The effect of thermal fronts on fish growth: a bioenergetics evaluation of food and temperature. Estuaries 1993, 16:142-159.
21. Breaker L.C. The applications of satellite remote sensing to West Coast fisheries. Marine Technology Society Journal 1981, 15:32-40.
22. Brock J.C., Purkis S.J. The emerging role of LiDAR remote sensing in coastal research and resource management. Special Issue 53 - Coastal Applications of Airborne LiDAR. Journal of Coastal Research 2009, 53:1-5.
23. Burrage D.M., Heron M.L., Hacker J.M., Miller J.L., Steiglitz T.C., Steinberg C.R., Prytz A. Structure and influence of tropical river plumes in the Great Barrier Reef: application and performance of an airborne sea surface salinity mapping system. Remote Sensing of Environment 2003, 85:204-220.
24. Burrage D., Wesson J., Martinez C., Perez T., Moller O., Piola A. Patos lagoon overflow within the Rio de la Plata plume using an airborne salinity mapper: observing an embedded plume. Continental Shelf Research 2008, 28:1625-1638.
25. Cannizzaro J.P., Carder K.L. Estimating chlorophyll-a concentrations from remote-sensing reflectance in optically shallow waters. Remote Sensing of Environment 2006, 101:13-24.
26. Cannizzaro J.P., Carder K.L., Chen F.R., Heil C.A., Vargo G.A. A novel technique for detection of the toxic dinoglagellate, Karenia brevis, in the Gulf of Mexico from remotely sensed ocean color data. Continental Shelf Research 2008, 28:137-158.
27. Carder K.L., Seward R.G., Harvey G.R., Ortner P.B. Marine humic and fulvic acids: their effects on remote sensing of chlorophyll-a. Limnology and Oceanography 1989, 34:68-81.
28. Carr M-L. Estimation of potential productivity in Eastern Boundary Currents using remote sensing. Deep sea research Part II: topical studies in oceanography. Biological Sciences 2001, 49:59-80.
29. Carr M.-E., Broad K. Satellites, society, and the Peruvian fisheries during the 1997-1998 El Nino. Satellites, Oceanography and Society. Elsevier Oceanography Series 2000, 171-191. Elsevier Science B.V., Amsterdam, The Netherlands. D. Halpern (Ed.).
30. Castillo J., Barbieri M.A., Gonzalez A. Relationships between sea surface temperature, salinity and pelagic fish distribution off northern Chile. ICES Journal of Marine Science 1996, 53:139-146.
31. Chadwick, W., 2010. Remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs). NOAA Ocean Explorer: Submarine Ring of Fire 2002: Background. http://oceanexplorer.noaa.gov/explorations/02fire/background/rovsauvs/rov_auv.html.
32. Chang C., Mahoney K., Briggs-Whitmire A., Kohler D.D.R., Mobley C.D., Lewis M., Moline M.A., Boss E., Kim M., Philpot D., Dickey T.D. The new age of hyperspectral oceanography. Oceanography 2004, 17:16-23.
33. Chassot E., Bonhommeau S., Reygondeau G., Nieto K., Polovina J.J., Huret M., Dulvy N.K., Demarcq H. Satellite remote sensing for an ecosystem approach to fisheries management. ICES Journal of Marine Science 2011, 68:651-666.
34. Chen I.C., Lee P.F., Tzeng W.N. Distribution of albacore (Thunnus alalunga) in the Indian Ocean and its relation to environmental factors. Fisheries Oceanography 2005, 14:71-80.
35. Churnside J.H., Hunter J.R. Laser remote sensing of epipelagic fishes. Society of Photo-Optical Instrumentation Engineers 1996, 2964:38-53.
36. Clark C., Ripley H., Green E., Edwards A., Mumby P. Mapping and measurement of tropiocal coastal environments with hyperspectral and high spatial resolution data. International Journal of Remote Sensing 1997, 18:237-242.
37. Corson M.R. The Hyperspectral Imager for the Coastal Ocean (HICO) on the International Space Station July 2008, IGARSS, New York.
38. Cracknell A.P., Hayes L. Introduction to Remote Sensing 2007, CRC Press, New York.
39. Cram, D.L., 1977. Fishery surveillance and advisory systems in southern Africa. In: Tomczak, G.H. (Ed.), Environmental Analyses in Marine Fisheries Research. Fisheries Environmental Services. FAO Fisheries Technical Paper No. 170, pp. 84-87.
40. Cushing D.H. Marine Ecology and Fisheries 1975, Cambridge University Press, Cambridge, 278 p.
41. Dagorn L., Petit M., Stretta J-M. Simulation of large-scale tropical tuna movements in relation with daily remote sensing data: the artificial life approach. Biosystems 1997, 44:167-180.
42. Davis C.O., Carder K.L., Gao B.-C., Lee Z.P., Bissett W.P. The development of imaging spectrometry of the coastal ocean. IEEE Proceedings of the International Geoscience and Remote Sensing Symposium 2006, V4:1982-1985.
43. Elachi C., van Ziel Z. Introduction to the Physics and Techniques of Remote Sensing 2006, John Wiley and Sons, New Jersey. 2nd ed.
44. ESA, 2009. European Space Agency's water mission SMOS. (Accessed April 6, 2011). http://www.esa.int/esaLP/ESAMBA2VMOC_LPsmos_0.html.
45. FAO The State of World Fisheries and Aquaculture 1998 1999, FAO Documentation Group, Rome, Italy.
46. FAO The Application of Remote Sensing Technology to Marine Fisheries: an Introductory Manual (Section 7) 2003, Food and Agriculture Organization Corporate Document Repository.
47. FAO The State of World Fisheries and Aquaculture 2008 2009, FAO Documentation Group, Rome, Italy, 176 p.
48. Fiedler P.C., Bernard H.J. Tuna aggregation and feeding near fronts observed in satellite imagery. Continental Shelf Research 1987, 7:871-881.
49. Font J., Camps A., Borges A., Martin-Neira N., Boutin J., Reul N., Kerr Y.H., Hahne A., Mecklenburg S. SMOS: the challenging sea surface salinity measurement from space. Proceedings of the IEEE 2010, 98:649-665.
50. Font J., Lagerloef G.S.E., LeVine D.M., Camps A., Zanife O.Z. The determination of surface salinity with the European SMOS space mission. IEEE Transactions on Geoscience and Remote Sensing 2004, 42:2196-2204.
51. Foote K.G. Rather-high-frequency sound scattering by swimbladdered fish. Journal of the Acoustic Society of America 1985, 78:688.
52. Foster G., Walker B.K., Riegl B.M. Interpretation of single-beam acoustic backscatter using lidar-derived topographic complexity and benthic habitat classifications in a coral reef environment. Journal of Coastal Research 2009, 53(Special issue):16-26.
53. Froidefond J.M., Jegou A.M., Hermida J., Lazure P., Castaing P. Variability of the Gironde turbid plume by remote sensing. Effects of climatic factors. Oceanologia Acta 1998, 21:191-207.
54. Garvine R.W. A dynamical system for classifying buoyant coastal discharges. Continental Shelf Research 1995, 15(13):1585-1596.
55. Gilerson A.A., Gitelson A.A., Zhou J., Gurlin D., Moses W.J., Ioannou I., Ahmed S.A. Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near-infrared bands. Optics Express 2010, 18:24109-24125.
56. Gitelson A.A., Kondratyev K.Y. Remote chlorophyll-a retrieval in turbid, productive estuaries: Chesapeake Bay case study. Remote Sensing of Environment 1991, 109:464-472.
57. Gordoa A., Maso M., Voges L. Satellites and fisheries: the Namibian hake, a case study. Satellites, Oceanography and Society. Elsevier Oceanography Series 2000, 193-206. Elsevier Science B.V., Amsterdam, The Netherlands. D. Halpern (Ed.).
58. Gordon H.R., Brown O.B., Evans R.H., Brown J.W., Smith R.C., Baker K.S., Clark D.K. A semi-analytic radiance model of ocean color. Journal of Geophysical Research 1988, 93:909-924.
59. Gower, J.F.R. (Ed.), 1986. Opportunities and problems in satellite measurements of the sea. Report of SCOR Working Group 70. UNESCO technical papers in marine science no.46, 70 p.
60. Griffin R.B. Sperm whale distributions and community ecology associated with a warm-core ring off Georges Bank. Marine Mammal Science 2006, 15:33-51.
61. Griffiths F.B., Lyne V.D., Harris G.P., Parslow J.S. Tracking fish by airborne radar-fishermen could be the winners. Australian Fisheries 1989, 48:19-21.
62. Hamel M.A., Andréfouët S. Using very high resolution remote sensing for the management of coral reef fisheries: review and perspectives. Marine Pollution Bulletin 2010, 60:1397-1405.
63. Harris G., Nilsson C., Booth B. CSIRO harnesses satellite power to search out fish. Australian Fisheries 1989, 48:22-25.
64. Hojerslev N.K. Water color and its relation to primary production. Boundary-Layer Meteorology 1980, 18:203-220.
65. Holland K.N., Brill R.W., Chang R.K.C. Horizontal and vertical movements of yellowfin and big eye tuna associated with fish aggregation devices. Fisheries Bulletin 1990, 88:397-402.
66. Hu C.M., Muller-Karger F.E., Taylor C.J., Carder K.L., Johns E., Heil C.A. Red tide detection and tracing using MODIS fluorescense data; a regional example in SW Florida coastal waters. Remote Sensing of Environment 2005, 97:311-321.
67. Hunter, J.R., Churnside, J.H. (Eds.), 1995. Airborne fishery assessment technology. NOAA workshop report. SWFSC administrative report. La Jolla, LJ-95-02, 71 p.
68. Ikeda M., Dobson F.W. Oceanographic Applications of Remote Sensing 1995, CRC Press, New York.
69. Jaffe J.S., Robertson P.L.D. Acoustic reflections on marine populations. Physics Today 2011, (September):76-77.
70. Jaffe J.S., Robertson P.L.D. Estimating fish orientation from broadband, limited-angle, multi-view, acoustic reflections. Journal of the Acoustic Society of America 2011, 129:670.
71. Jagannathan S., Bertsatos I., Symonds D., Chen T., Nia H.T., Jain A.D., Andrews M., Gong Z., Nero R., Ngor L., Jech M., Godo O.R., Lee S., Ratilal P., Makris N. Ocean acoustic waveguide remote sensing (OAWRS) of marine ecosystems. Marine Ecology Progress Series 2009, 395:137-160.
72. Johnson D.R., Weidemann A., Arnone R., Davis C.O. Chesapeake Bay outflow plume and coastal upwelling events: physical and optical properties. Journal of Geophysical Research 2001, 106:11613-11622.
73. Keith D.J. Estimating chlorophyll conditions in southern New England coastal waters from hyperspectral remote sensing. Remote Sensing of Coastal Environments 2010, 151-172. CRC Press, Boca Raton, Florida. Y. Wang (Ed.).
74. Kellogg R.L., Gift J.J. Relationship between optimum temperature for growth and preferred temperatures for the young of four fish species. Transactions of the American Fisheries Society 1983, 112:424-430.
75. Kimura S., Nakai M., Sugimoto T. Migration of albacore, Thunnus alalunga, in the North Pacific Ocea, in relation to large oceanic phenomena. Fisheries Oceanography 1997, 6:51-57.
76. Kirobe T., Munk D., Richardson K., Christiansen V., Paulsen H. Plankton dynamics and larval herring growth, drift and survival in a frontal area. Marine Ecology Progress Series 1986, 44:205-219.
77. Klein L.A., Swift C.T. An improved model for the dielectric constant of sea water at microwave frequencies. IEEE Transactions on Microwave Antennas and Propagation 1977, AP-25:104-111.
78. Klemas V. Remote sensing of sea surface salinity: an overview with case studies. Journal of Coastal Research 2011, 27:830-838.
79. Klemas, V. Remote sensing of coastal plumes and ocean fronts: Overview and case study. Journal of Coastal Research, 28, 1-7.
80. Knudsen F.R., Saegrov H. Benefits from horizontal beaming during acoustic survey: application to three Norwegian lakes. Fisheries Research 2002, 56:205-211.
81. Kumari B., Raman M., Mali K. Locating tuna forage grounds through satellite remote sensing. International Journal of Remote Sensing 2009, 30:5977-5988.
82. Laevastu T., Hayes M.L. Fisheries Oceanography and Ecology 1981, Fishing News (Books), Farnham, 199 p.
83. Laevastu T., Favorite F. Fishing and Stock Fluctuations 1988, Fishing News (Books), Farnham, 239 p.
84. Laevastu, T., Rosa, H., 1963. Distribution and relative abundance of tunas in relation to their environment. FAO Fisheries Report, 6, 1835-1851.
85. Lagerloef G.S.E., Swift C.T., LeVine D.M. Sea surface salinity: the next remote sensing challenge. Oceanography 1995, 2:44-50.
86. Lagerloef G.S.E., Font J. SMOS and Aquarius/SAC-D missions: the era of spaceborne salinity measurements is about to begin. Oceanography from Space 2010, 35-58. Springer-Verlag, Berlin. V. Barale, J.F.R. Gower, L. Alberotanza (Eds.).
87. Largier J.L. Estuarine fronts: how important are they. Estuaries 1993, 16:1-11.
88. Laurs R.M., Fiedler P.C., Montgomery D.R. Albacore tuna catch distributions relative to environmental features observed from satellite. Deep-Sea Research 1984, 31:1085-1099.
89. Le Fevre J. Aspects of the biology of frontal systems. Advances in Marine Biology 1986, 23:163-299.
90. Leming, T.D., 1990. Satellite imagery analysis/PC data link for directed butterfish fishing. Final Report-Phase I. Mississippi Department of Economic Development, 63 p.
91. Lewis D. The Hyperspectral Imager for the Coastal Ocean (HICO): sensor and data processing overview. Oceans 2009, October.
92. Lo N.C.H., Jacobsen L.D., Squire J.L. Indices of relative abundance from fish spotter databased on delta-lognormal models. Canadian Journal of Fisheries and Aquatic Sciences 1992, 49:2526-2551.
93. Logerwell E.A., Smith P.E. Mesoscale eddies and survival of late stage Pacific sardine (Sardinops sagax) larvae. Fisheries Oceanography 2001, 10:13-25.
94. Longhurst A. Mismanagement of Marine Fisheries 2010, Cambridge University Press, Cambridge, UK, 334 p.
95. Longhurst A., Sathyendranath S., Platt T., Caverhill C. An estimate of global primary production in the ocean from satellite radiometer data. Journal of Plankton Research 1995, 17:1245-1271.
96. Lucke R.L. Hyperspectral Imager for the Coastal Ocean (HICO): instrument description and first images. Applied Optics 2011, 50:1501-1516.
97. MacLennan D.N., Simmonds F.J. Fisheries Acoustics 1992, Chapman and Hall, London, 325 p.
98. Makris N.C., Ratilal P., Jagannathan S., Gong Z., Andrews M., Bertsatos I., Godo O.R., Nero R.W., Jech J.M. Critical population density triggers rapid formation of vast oceanic fish shoals. Science 2009, 323:1734-1737.
99. Makris N.C., Ratilal P., Symonds D., Jagannathan S., Lee S., Nero R.W. Fish population and behavior revealed by instantaneous shelf-scale imaging. Science 2006, 311:661-663.
100. Marshall H.G., McKinley K.R., Biggley W.H., Rivkin R.B., Aspden K.R.H. Phytoplankton patchiness and frontal regions. Marine Biology 1981, 61:119-131.
101. Martin S. An Introduction to Remote Sensing 2004, Cambridge University Press, Cambridge, UK.
102. McLain C., Hooker S., Feldman G., Bontempi P. Satellite data for ocean biology, biogeochemistry and climate research. EOS, Transactions, American Geophysical Union 2006, 87:337-343.
103. Mellin C., Andrefouet S., Kulbicki M., Dalleau M., Vigliola L. Remote sensing and fish-habitat relationships in coral reef ecosystems: review and pathways for systematic multiscale hierarchical research. Marine Pollution Bulletin 2009, 58:11-19.
104. Millar, P., Rossby, T., 2004. Satellite imaging techniques are shedding new light on an ancient map of the northeast Atlantic. Siemens Innovations Report, 29/04/2004. (accessed: 1/24/2011). http://www.innovations.com/html/reports/earth_sciences/report-28615.html.
105. Miller J.L., Goodberlet M. Development and applications of STARRS: a next generation airborne salinity imager. International Journal of Remote Sensing 2004, 25:1319-1324.
106. Miller J.L., Goodberlet M.A., Zaitzeff J.B. Airborne salinity mapper makes debut in coastal zone. AGU EOS Transactions 1998, 79:173-177.
107. Miller S.D., Hawkins J.D., Kent J., Turk F.J., Lee T.F., Kuciauskas A.P., Richardson K., Wade R., Hoffman C. NexSat: previewing NPOESS/VIIRS imagery capabilities. Bulletin of the American Meteorological Society, April 2006 2006, 433-446.
108. Montes-Hugo M.A., Carder K., Foy R.J., Cannizzaro J., Brown E., Pegau S. Estimating phytoplankton biomass in coastal waters of Alaska using airborne remote sensing. Remote Sensing of Environment 2005, 98:481-493.
109. Montgomery D.R., Wittenberg-Frey R.E., Austin R.W. The applications of satellite-derived ocean color products to commercial fishing operations. Marine Technology Society Journal 1986, 20:72-86.
110. Moore T.S., Campbell J.W., Dowell M.D. A class-based approach to characterizing and mapping the uncertainty of the MODIS ocean chlorophyll product. Remote Sensing of Environment 2009, 113:2424-2430.
111. Morel A., Gordon H.R. Report of the Working Group on Water Color. Boundary-Layer Meteorology 1980, 18:343-355.
112. Morel A., Prieur L. Analysis of variations in ocean color. Limnology and Oceanography 1997, 22:709-722.
113. Myers J.S., Miller R.L. Optical airborne remote sensing. Remote Sensing of Coastal Aquatic Environments: Technologies,Techniques and Applications 2005, 51-68. Springer, Dordrecht, The Netherlands. R.L. Miller, C.E. DelCastillo, B.A. McKee (Eds.).
114. NASA, 2011. Aquarius. NASA Science Missions. (Accessed April 6, 2011). http://science.nasa.gov/missions/aquarius.
115. O'Brien, J.J., Woodworth, B.M., Wright, D.J., 1974. The coho project reports. Living Resources Prediction Feasibility Study, vol. I-III. School of Oceanography, Oregon State University, Corvallis, OR.
116. Oliver M.J., Irwin A.J. Objective global ocean biogeographic provinces. Geophysical Research Letters 2008, 35:L15601. 10.1029/2008GL034238.
117. Oliver M.J., Schofield O., Bergman T., Glenn S., Orrico C., Moline M. Deriving in situ phytoplankton absorption for bio-optical productivity models in turbid waters. Journal of Geophysical Research 2004, 109:C07S11. 10.1029/2002JC002072.
118. Otero M.P., Siegel D.A. Spatial and temporal characteristics of sediment plumes and phytoplankton blooms in the Santa Barbara Channel. Deep-sea research Part II: topical studies in oceanography. Environmental Sciences 2004, 51:1129-1149.
119. Owen R.W. Fronts and eddies in the sea: mechanism, interaction and biological effects. Analysis of Marine Ecosystems 1981, 197-234. New York, Academic Press. A.R. Longhurst (Ed.).
120. Perez T., Wesson J., Burrage D. Airborne remote sensing of the Plata plume using STARRS. Sea Technology 2006, (September):31-34.
121. Petit M., Stretta J.M., Farrugio H., Wadsworth A. Synthetic aperture radar imaging of sea surface life and fishing activities. IEEE Transactions on Geoscience and Remote Sensing 1992, 30:1085-1089.
122. Pittenger R.F. Exploring and mapping the seafloor. National Geographic 1989, 177(January):61A.
123. Pinet P.R. Invitation to Oceanography 2009, Jones and Bartlett, Sudbury, MA. 5th ed.
124. Pittman S.J., Costa B.M., Battista T.A. Using lidar bathymetry and boosted regression trees to predict the diversity and abundance of fish and corals. Journal of Coastal Research 2009, 25:27-38.
125. Platt T., Sathyhendranath S. Ecological indicators for the pelagic zone of the ocean from remote sensing. Remote Sensing of Environment 2008, 112:3426-3436.
126. Platt T., Sathyhendranath S., Forget M-H., White G.N., Caverhill C., Bouman H., Devred E. Operational mode estimation of primary production at large geographical scales. Remote Sensing of Environment 2008, 112:3437-3448.
127. Polovina J.J., Howell E.A. Ecosystem indicators derived from satellite remotely sensed oceanographic data for the North Pacific. ICES Journal of Marine Science 2004, 62:319-327.
128. Polovina J.J., Howell E., Kobayashi D.R., Seki M.P. The transition zone chlorophyll front, a dynamic global feature defining migration and forage habitat for marine resources. Progress in Oceanography 2001, 49:469-483.
129. Power J.H., May L.N. Satellite observed sea-surface temperatures and yellowfin tuna catch effort in the Gulf of Mexico. Fisheries Bulletin 1991, 89:429-439.
130. Purkis S.J., Graham N.A.J., Riegl B.M. Predictability of reef fish diversity and abundance using remote sensing data in Diego Garcia (Chagos Archipelago). Coral Reefs 2008, 27:167-178.
131. Purkis S., Klemas V. Remote Sensing and Global Environmental Change 2011, Wiley-Blackwell, Oxford.
132. Ramos A.G., Santiago J., Sangra P., Canton P. An application of satellite-derived sea surface temperature data to the skipjack and albacore tuna fisheries in the north-east Atlantic. International Journal of Remote Sensing 1996, 17:749-759.
133. Robinson I.S. Measuring the Oceans from Space: the Principles and Methods of Satellite Oceanography 2004, Springer-Praxis, Berlin.
134. Roithmayr C.M. Airborne low-light sensor detects luminescing fish schools at night. Commercial Fisheries Review 1970, 32:42-51.
135. Royer F., Fromentin J-M., Gaspar P. Association between bluefin tuna schools and oceanic features in the western Mediterranian. Marine Ecology Progress Series 2004, 269:249-263.
136. Ryan J.P., Yoder J.A., Cornillon P.C. Enhanced chlorophyll at the shelfbreak of the Mid-Atlantic Bight and Georges Bank during the spring transition. Limnology and Oceanography 1999, 44:1-11.
137. Sabates A., Maso M. Effect of a shelf-slope front on the spatial distribution of mesopelagic fish larvae in the western Mediterranean. Deep-Sea Research 1990, 37:1085-1098.
138. Sanchez P., Demestre M., Recasens L., Maynou F., Martin P. Combining GIS and GAMS to identify potential habitats of squid Loligo vulgaris in the northwestern Mediterranean. Hydrobiologia 2008, 612:91-98.
139. Santos A.M.P. Fisheries oceanography using satellite and airborne remote sensing methods: a review. Fisheries Research 2000, 49:1-20.
140. Santos A.M.P., Fiuza A.F.G. Supporting the Portuguese fisheries with satellites. Proceedings of the European International Space Year Conference 1992 on Space in the Service of the Changing Earth, vol. II 1992, 663-668.
141. Schalles J.F., Gitelson A.A., Yacoby 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, 34:383-390.
142. Schofield O., Arnone R.A., Bissett W.P., Dickey T.D., Davis C.O., Finkel Z., Oliver M., Moline M.A. Watercolors in the coastal zone: what can we see?. Oceanography 2004, 17:24-31.
143. Simmonds J., MacLennan D. Fisheries Acoustics: Theory and Practice 2006, Wiley-Blackwell, Chichester, UK. 2nd ed.
144. Simpson J.J. Remote sensing and geographical information systems: their present and future use in global marine fisheries. Fisheries Oceanography 1992, 1:238-280.
145. Solanki H.U., Dwivedi R.M., Nayak R., Somvanshi V.S., Gulati D.K., Pattnyak S.K. Fishery forecast using OCM chlorophyll concentration and AVHRR SST: validation results off Gujarat coast, India. International Journal of Remote Sensing 2003, 24:3691-3699.
146. Stretta J-M. Forecasting tuna fishery area. What parameters and what models: the praxeological response. La Mer 1989, 27:133-134.
147. Stretta J-M. Forecasting models for tuna fishery with aerospatial remote sensing. International Journal of Remote Sensing 1991, 12:771-779.
148. Stretta J.-M., Slepoukha M. A forecasting model for tuna fisheries in the intertropical Atlantic. Proceedings of the 34th Annual Tuna Conference held in Lake Arrowhead on 15-18 May, 1983 1983.
149. Stuart V., Platt T., Sathyendranath S. The future of fisheries science in management: a remote-sensing perspective. ICES Journal of Marine Science 2011, 68:644-650.
150. Stuart V., Platt T., Sathyendranath S., Pravin P. Remote sensing and fisheries: an introduction. ICES Journal of Marine Science 2011, 68:639-641.
151. Sund P.N., Blackburn M., Williams F. Tuna and their environment in the Pacific Ocean: a review. Oceanography and Marine Biology Annual Review 1981, 19:443-512.
152. Sydor M. Use of hyperspectral remote sensing reflectance in extracting the spectral volume absorption coefficient for phytoplankton in coastal water: remote sensing relationships for the inherent optical properties of coastal water. Journal of Coastal Research 2006, 22:587-594.
153. Szekielda K.H., Bowles J.H., Gillis D.B., Miller W.D. Interpretation of absorption bands in airborne hyperspectral radiance data. Sensors 2009, 9:2907-2925.
154. Szekielda K-H., Gobler C., Gross B., Moshary F., Ahmed S. Spectral reflectance measurements of estuarine waters. Ocean Dynamics 2003, 53:98-102.
155. Thomas A.C., Weatherbee R.A. Satellite-measured temporal variability of the Columbia River plume. Remote Sensing of Environment 2006, 100:167-178.
156. Thompson R.L., Schroeder A.J. High-definition 3-D tools for underwater surveying and inspection. Sea Technology 2010, (April).
157. Tomczak, G.H., 1977. Environmental analyses of marine fisheries research. Part I: Scientific and operational considerations. In: Tomczak, G.H. (Ed.), Enviornmental Analyses in Marine Fisheries Research. Fisheries Environmental Services. FAO fisheries technical paper no.170, pp. 1-36.
158. Trautwein G. Sockeye hydroacoustics: Quinaults river system is first of its kind sockeye salmon counter. Marine Technology Reporter 2011, (October):29-33.
159. Tufillaro N., Davis C., Lee Z.P. MERIS and HICO imaging along the Northwest Coast: 2009. Ocean Sciences Meeting 2010, 22-26. February, 2010, Portland, Oregon.
160. Tyler J.A., Rose K.A. Individual variability and spatial heterogeneity in fish population models. Reviews in Fish Biology and Fisheries 1994, 4:91-123.
161. Walker B.K., Jordan L.K.B., Spieler R.E. Relationship of reef fish assemblages and topographic complexity on Southern Florida coral reef habitats. Journal of Coastal Research 2009, 53(Special issue):1-5.
162. Wang Y., Heron M.M., Hacker J.M. Evaluation of a new airborne microwave remote sensing radiometer by measuring the salinity gradients across the shelf of the Great Barrier Reef Lagoon. IEEE Transactions on Geoscience and Remote Sensing 2007, 45:3701-3709.
163. Ware D.M., Thomson R.E. Bottom-up ecosystem trophic dynamics determine fish production in the northeast Pacific. Science 2005, 308:1280-1284.
164. Wedding L.M., Friedlander A.M., McGranaghan M., Yost R.S., Monaco M.E. Using bathymetric lidar to define nearshore benthic habitat complexity: implications for management of reef fish assemblages in Hawaii. Remote Sensing of Environment 2008, 112:4159-4165.
165. Wiebe P.H., Greene C.H., Stanton T.K., Burczynski J. Sound scattering by live zooplankton and micronekton: empirical studies with a dual-beam acoustical system. Journal of the Acoustical Society of America 1990, 88:2346-2360.
166. Wright D.J., Woodworth B.M., O'Brien J.J. A system for monitoring the location of harvestable coho salmon stocks. Marine Fisheries Review 1976, 38:1-7.
167. Yamanaka, I., Ito, S., Niwa, K., Tanake, R., Yabuta, Y., and Chikuni, S., 1988. The fisheries forecasting system in Japan for coastal pelagic fish. FAO Fisheries technical paper no. 301, 72 p.
168. Yan X.-H., Ho C., Zheng Q., Klemas V. Using satellite IR in studies of the variabilities of the Western Pacific Warm Pool. Science 1993, 262:440-441.
169. Zagaglia C.R., Lorenzzetti J., Stech J.L. Remote sensing data and longline catches of yellowfin tuna (Thunnus albacores) in the equatorial Atlantic. Remote Sensing of Environment 2004, 93:267-281.
170. Zainuddin M., Kiyofuji H., Saitoh K., Saitoh S-I. Using multi-sensor satellite remote sensing and catch data to detect ocean hot spots for albacore (Thunnus alalunga) in the northwestern North Pacific. Deep-Sea Research 2006, 53:419-431.
171. Zainuddin M., Saitoh K., Saitoh S. Detection of potential fishing ground for albacore tuna using synoptic measurements of ocean color and thermal remote sensing in the northwestern North Pacific. Geophysical Research Letters 2004, 31:L20311. 10.1029/2004GL021000.
172. Zaneveld J.R.V., Pak H.J. Optical and particulate properties at oceanic fronts. Journal of Geophysical Research 1979, 84:7781-7790.
173. Zibordi G., Parmiggiani F., Alberotanza L. Application of aircraft multispectral scanner data to algae mapping over the Venice Lagoon. Remote Sensing of Environment 1990, 34:49-54.