Evaluation of remote-sensing-based potential fishing zones (PFZs) forecast methodology

Solanki, H. U.; Mankodi, Pradip C.; Nayak, Shailesh; Somvanshi, Vishal Singh

doi:10.1016/j.csr.2005.08.025

Cited by 65 publications

(32 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is particularly vulnerable to environmental fluctuations and global change because their short lifespan means that they react rapidly to environmental change [4]. SST and chl-a are the most important oceanographic parameters and commonly used to predict potential fishing grounds [5][6][7][8][9]. The characteristics of SST and chl-a are very important for studying physical and biological conditions [10].…”

Section: Introductionmentioning

confidence: 99%

“…Chl-a pigment concentration is a convenient index of phytoplankton biomass [11] and SST is the important factor which influences phytoplankton growth [18]. Satellite-derived chl-a concentration provides a measure of enhanced biological production area, while SST provides information to explain oceanic environment suitable for enhanced production [5,11]. The use of both parameters would improve our understanding about the physical and biological processes of the oceans [19] periods of high productivity [20] and food resource availability in an ecosystem for exploring fishery resources [11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The relationship between sea surface temperature and chlorophyll-a concentration in fisheries aggregation area in the archipelagic waters of spermonde using satellite images

Nurdin

Mustapha

Lihan

2013

AIP Conference Proceedings

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The relationship between sea surface temperature and chlorophyll-a concentration in fisheries aggregation area in the archipelagic waters of spermonde using satellite images

Nurdin

Mustapha

Lihan

2013

AIP Conference Proceedings

View full text Add to dashboard Cite

“…Mean (l) of catch is considered as normal catch in the area. The details of statistical analysis, fishing gear, and species caught during fishing operation are discussed by Solanki et al (2005). The catch points were classified with a combination of mean and standard deviation.…”

Section: Study Areamentioning

confidence: 99%

Satellite observations of main oceanographic processes to identify ecological associations in the Northern Arabian Sea for fishery resources exploration

et al. 2008

View full text Add to dashboard Cite

Ecological associations are the inter-relationship between the species and their environment. Oceanographic processes like upwelling events and formation of eddies, rings, and fronts have been monitored using National Oceanic and Atmospheric Administration Advanced Very High Resolution (NOAA AVHRR) and Indian Remote Sensing Satellite-P4-Ocean Colour Monitor (IRS-OCM) data. Sea Surface Temperature (SST) and chlorophyll concentration (CC) images were derived from AV-HRR and OCM, respectively. Upwelling event was monitored using AVHRR-SST by detecting the differences in surface water temperature. The formation of eddies, rings, cyclonic eddies, and anticyclonic eddies and their biological responses were studied using CC. Eddies and rings were found with high phytoplankton production in the form of bloom, which provide grazing ground for fishes. The anticyclonic eddies were found with very low CC, indicating the biological deserts in the ocean. The impacts of these processes on fish catch were studied using fishing operations data procured from Fishery Survey of India. In this paper, the occurrence of different oceanographic processes, their persistence, and relevance with catch statistics of fishery resources in the study area are discussed. The study explains the potentials of satellite remote sensing to establish the habitat linkage between oceanographic processes and fishery resources.

show abstract

“…INCOIS generated the PFZ forecast based on satellite-derived data of Sea Surface Temperature (SST) and chlorophyll-a. Satellite remote-sensing provides synoptic views of the ocean and is capable of detecting mesoscale features through thermal infrared and visible sensors; hence, it can be useful for locating potential fishing zones (PFZs) (Solanki et al, 2005). Apart from the physical processes which are extracted from SST, chlorophyll-a or phytoplankton biomass, spots of weak SST gradients also act as indicators for locations of fish schools in tropical oceans (Ali et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Untitled

Dutta¹,

Chanda²,

Akhand³

et al. 2016

Turk. J. Fish. Aquat. Sci.

View full text Add to dashboard Cite

The paper discusses the correlation between the Catch per Unit Effort (CPUE) of fishes with the phytoplankton biomass (chlorophyll-a) and nutrients in the West Bengal marine fishing zone (northern Bay of Bengal) during the post-monsoon season of 2010-11 and 2011-12. A total of 12 Potential Fishing Zone forecasts were simultaneously validated on board, covering 70 random samplings points wherein the physico-chemical parameters were also measured. A strong positive correlation of the CPUE with phytoplankton biomass was observed. The CPUE also positively correlated with the essential nutrients like dissolved inorganic phosphate (DIP), dissolved inorganic nitrate (DIN) and silicate. Four components were figured out in the principal component analysis out of 11 environmental variables. The first component primarily consisted of salinity, Secchi depth (positive loadings), turbidity and dissolve oxygen (DO) (negative loadings). Increases in component 2 were associated with increases in nutrients (silicate, nitrate and phosphate). The CPUE was much higher (8.15±6.08 kg/hour) in the PFZ forecast zones compared to the areas outside the forecast area (3.51±1.61 kg/hour).

show abstract

Evaluation of remote-sensing-based potential fishing zones (PFZs) forecast methodology

Cited by 65 publications

References 9 publications

The relationship between sea surface temperature and chlorophyll-a concentration in fisheries aggregation area in the archipelagic waters of spermonde using satellite images

The relationship between sea surface temperature and chlorophyll-a concentration in fisheries aggregation area in the archipelagic waters of spermonde using satellite images

Satellite observations of main oceanographic processes to identify ecological associations in the Northern Arabian Sea for fishery resources exploration

Untitled

Contact Info

Product

Resources

About