Using remote sensing techniques to determine environ-mental characteristics for Sardinellas-nei in Red Sea, Egypt. |
Paper ID : 1141-ICRSSSA |
Authors |
Doaa Mohammed Naguib *1, Mohammed Alkuzamy Aziz2, Seham mohamed Hashem3, sameh bakr elkafrawy1 1national authority for remote sensing and space sciences 2Full Professor of Applied GeoInformatics (GIS), Fayoum University 3Professor, woman's faculty, Ain Shams university |
Abstract |
Potential fishing zones(PFZ)are those regions where fish aggregate in sea areas; the technique of determining (PFZ) depends on knowing the environmental parameters for a specific type of fish. This manuscript deals with PFZ using a special technique. This paper aims to specify characteristics that distinguish the environment of Sardinellas-nei fish from MODIS Aqua satellite data, by analyzing the environment that is already known as shelters of it. To get benefits from modern technologies in allocating the fishing area of Sardinellas-nei that will increase the national income from the fishing sector and close the food gap between production and consumption from the fish sector. Integration between an auxiliary fish yield data belonging to general authority for developing fish resources (GAFRD), and available products that can be obtained from MODIS Aqua satellite represented in Chlorophyll-a, NFLH , PAR, SST, POC, and PIC during 2018. These data were used to build a suitability model (SM) to predict other sites on the red sea that may contain Sardinellas-nei in its waters, accordingly this manuscript will determine the suitable environment for Sardinellas-nei and support further studies in the field of PFZ. The study revealed the environmental characteristics that suited the presence of Sardinellas-nei in 2018, in addition to, the predicted fishing area that resulted from the suitability model is estimated to be 7 times more than the actual fishing landing sites area |
Keywords |
Potential Fishing Zone, Red Sea Environment, Sardinellas-nei, MODIS, Geographic Information Systems. |
Status: Accepted (Oral Presentation) |