Numerical Modelling and Satellite Remote Sensing as Tools for Research and Management of Marine Fishery Resources

George, Grinson

doi:10.1007/978-3-319-06326-3_18

Cited by 6 publications

(7 citation statements)

References 55 publications

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“…Data collection in an aquatic environment is often tiresome and expensive. Modelled and satellite remote sensing data validated for time and space can supplement observational gaps in assessing water quality in aquatic environment (George, 2014). But in-situ observations are often insufficient to meet the scientific requirement for the validation processes also.…”

Section: Discussionmentioning

confidence: 99%

Citizen Scientists Contribute to Real-Time Monitoring of Lake Water Quality Using 3D Printed Mini Secchi Disks

et al. 2021

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Citizen science aims to mobilise the general public, motivated by curiosity, to collect scientific data and contribute to the advancement of scientific knowledge. In this article, we describe a citizen science network that has been developed to assess the water quality in a 100 km long tropical lake-estuarine system (Vembanad Lake), which directly or indirectly influences the livelihood of around 1.6 million people. Deterioration of water quality in the lake has resulted in frequent outbreaks of water-associated diseases, leading to morbidity and occasionally, to mortality. Water colour and clarity are easily measurable and can be used to study water quality. Continuous observations on relevant spatial and temporal scales can be used to generate maps of water colour and clarity for identifying areas that are turbid or eutrophic. A network of citizen scientists was established with the support of students from 16 colleges affiliated with three universities of Kerala (India) and research institutions, and stakeholders such as houseboat owners, non-government organisations (NGOs), regular commuters, inland fishermen, and others residing in the vicinity of Vembanad Lake and keen to contribute. Mini Secchi disks, with Forel-Ule colour scale stickers, were used to measure the colour and clarity of the water. A mobile application, named “TurbAqua,” was developed for easy transmission of data in near-real time. In-situ data from scientists were used to check the quality of a subset of the citizen observations. We highlight the major economic benefits from the citizen network, with stakeholders voluntarily monitoring water quality in the lake at low cost, and the increased potential for sustainable monitoring in the long term. The data can be used to validate satellite products of water quality and can provide scientific information on natural or anthropogenic events impacting the lake. Citizens provided with scientific tools can make their own judgement on the quality of water that they use, helping toward Sustainable Development Goal 6 of clean water. The study highlights potential for world-wide application of similar citizen-science initiatives, using simple tools for generating long-term time series data sets, which may also help monitor climate change.

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Section: Discussionmentioning

confidence: 99%

Citizen Scientists Contribute to Real-Time Monitoring of Lake Water Quality Using 3D Printed Mini Secchi Disks

et al. 2021

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“…The chlorophyll abundance is a vulnerable factor to oil sardine fishery as it determines the feeding ground and controls its recruitment (Piontkovski, Al-Oufi, and Al-Jufaili, 2014;Zaki et al, 2012). With the advent of satellite remote sensing techniques (George, 2014), satellite aided information of chlorophyll abundance were utilized for unravelling the fluctuation in the abundance of IOS fishery (George et al, 2012;Menon et al, 2019). Rainfall (precipitation) data was utilized in previous studies to explain the inter-annual variability in IOS by Jayaprakash (2002).…”

Section: Discussionmentioning

confidence: 99%

Effect of Climatic Variability on the Fishery of Indian Oil Sardine Along Kerala Coast

Sajna

Zacharia

Liya

et al. 2019

Journal of Coastal Research

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Sajna, V.H.; Zacharia P.U.; Liya, V.B.; Rojith, G.; Somy, K.; Joseph, D., and Grinson, G., 2019. Effect of climatic variability on the fishery of Indian Oil sardine along Kerala coast. In: Jithendran, K.P.; Saraswathy, R.; Balasubramanian, C.P.; Kumaraguru Vasagam, K.P.; Jayasankar, V.; Raghavan, R.; Alavandi, S.Indian oil sardine (IOS), the commercially and ecologically important pelagic fish of the Kerala coast is susceptible to climatic variation. The study analyzes the impact of climate change on the catch of Sardinella longiceps along the Kerala coast and tries to predict the catch trend under the two RCP scenarios 4.5 and 6.0 for the period 2020-2100. Monthly catch of IOS by major gears for the period 1990-2016 was collected and Relative effort (Effort) and Weighted CPUE (cpue) were accordingly estimated. The climatic variables Sea Surface Temperature (SST), Precipitation (Pr), Chlorophyll a (SSC) and Salinity (SSS) were obtained from NOAA/NASA. The relationship of cpue and Effort of IOS to environmental variables were explored by Generalized Additive Model. The best fit model was selected using lowest Akaike information criterion (AIC) value, Deviance and F statistic. Predictions of cpue and Effort under RCP 4.5 and RCP 6.0 were done and the catch of IOS was estimated. The GAM model revealed the variations in the catch of IOS in relation to climate change. The SST, SSS and Pr showed a negative relation whereas SSC was found to be positively related to the catch of IOS. The results of the study indicate a decreasing trend of cpue and catch and an increasing trend of Effort towards 2100 under both climate change scenarios. ADDITIONAL INDEX WORDS: Climate change, CPUE, generalized additive model, Indian oil sardine, Kerala coast, RCP.

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“…The ranch uses water quality monitoring buoys, weather monitoring stations, management boats, radar and other underwater mobile monitoring equipment to realize the automated all-round monitoring of the marine ranch. Using satellite remote sensing technology (SRS), marine ranches can evaluate the fish stock variability in different space and time scales (George 2014 ). Based on the interaction between microwave and sea surface micro scale structure, synthetic aperture radar remote sensing technology can remotely sense ocean current, cyclone and other fishery related marine environment information.…”

Section: Definition and System Framework Of Intelligent Fish Farmmentioning

confidence: 99%

“…It can image the global ocean in a short time, observe the sea areas that are not easy to reach by ships, and observe the parameters that are not easy to measure by ordinary methods. Large-scale farms can use the existing and forecasted data sets on satellite remote-sensing to evaluate the environmental information such as chlorophyll-a, sea surface temperature, surface organic pollution, and ocean current (George 2014 ).…”

Section: Data-driven Decision-makingmentioning

confidence: 99%

“…Modern advanced remote sensing technology using satellite remote sensing images and relevant professional software to analyze the marine fishery resources can accurately obtain the position of fish stock, which greatly improves the accuracy and quantity of fishing. Visible light remote sensing technology uses the visible spectrum band to telemeter the water color change characteristics of the fish farms, quickly estimates the concentration of chlorophyll-a in the sea water, and then evaluates the distribution of marine fish stock fed on zooplankton and phytoplankton (George 2014 ). Thermal infrared remote sensing technology uses sea surface temperature (SST) data sets to study the aggregation and migration of fish, and can be used to evaluate the health status of coral reef (Mahendra et al 2010 ).…”

Section: Data-driven Decision-makingmentioning

confidence: 99%

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Intelligent fish farm—the future of aquaculture

Wang

et al. 2021

Aquacult Int

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With the continuous expansion of aquaculture scale and density, contemporary aquaculture methods have been forced to overproduce resulting in the accelerated imbalance rate of water environment, the frequent occurrence of fish diseases, and the decline of aquatic product quality. Moreover, due to the fact that the average age profile of agricultural workers in many parts of the world are on the higher side, fishery production will face the dilemma of shortage of labor, and aquaculture methods are in urgent need of change. Modern information technology has gradually penetrated into various fields of agriculture, and the concept of intelligent fish farm has also begun to take shape. The intelligent fish farm tries to deal with the precise work of increasing oxygen, optimizing feeding, reducing disease incidences, and accurately harvesting through the idea of “replacing human with machine,” so as to liberate the manpower completely and realize the green and sustainable aquaculture. This paper reviews the application of fishery intelligent equipment, IoT, edge computing, 5G, and artificial intelligence algorithms in modern aquaculture, and analyzes the existing problems and future development prospects. Meanwhile, based on different business requirements, the design frameworks for key functional modules in the construction of intelligent fish farm are proposed.

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Numerical Modelling and Satellite Remote Sensing as Tools for Research and Management of Marine Fishery Resources

Cited by 6 publications

References 55 publications

Citizen Scientists Contribute to Real-Time Monitoring of Lake Water Quality Using 3D Printed Mini Secchi Disks

Citizen Scientists Contribute to Real-Time Monitoring of Lake Water Quality Using 3D Printed Mini Secchi Disks

Effect of Climatic Variability on the Fishery of Indian Oil Sardine Along Kerala Coast

Intelligent fish farm—the future of aquaculture

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