جستجوی مقالات مرتبط با کلیدواژه "satellite data" در نشریات گروه "شیلات"

In the present study relationship between shrimp catch per unit effort (CPUE) and satellite-based environmental parameters, chlorophyll-a (Chl-a) and sea surface temperature (SST), was investigated in 27 stations in Bushehr provincial waters in the geographical position from E 50˚ 44´ and N 28˚ 59´ to E 51˚ 40´ and N 27˚ 33´, in July 2017 and July 2018. SST and Chl-a data were extracted from +ETM Landsat 7 sensor and Modis Aqua (EOS PM) satellites images. Four research surveys were conducted using a traditional vessel to record local physico-chemical parameters of water and estimate shrimp catch per unit effort (CPUE) in studied stations.The results of linear regression analysis and correlation coefficient showed a negative and strong relationship between SST- Chl-a overlap value and shrimp CPUE in waters of Bushehr province (r = -0.84), while weak negative and positive relationships were observed between SST and chlorophyll-a with shrimp CPUE with r = -0.34 and 0.03, respectively.

Yellowfin tuna, Thunnus a lbacares , are the most important ecological and economic fishes in the Persian Gulf. In recent decades, their populations have faced overfishing, environmental problems and climate change. In this study, using some environmental variables affecting the habitat of tuna fish, i.e. sea surface temperature at night and day, reflection of 645 nm wavelength as a water turbidity, angstrom view of aerosol 443 to 965 nm, aerosol optic thickness at 869 nm, organic and inorganic particle carbon, photosynthetic active radiation, absorption by phytoplankton at 443 nm and chlorophylla concentration from 2002 to 2018, on the spatial distribution of yellow-fin tuna has been modelled by fuzzy rule-based classification. Over the years, the variables had different degrees of importance in the models. There was a great variation in the spatial distribution of the species from year to year.