Estimating the shrimp farm’s production and their future growth prediction by remote sensing: Case study Gulf of California

Shrimp farms are within the main aquaculture activities and In last 30 years, shrimp have expanded along Gulf of California. Because farm’s production is related to pond area extended location farms, we employed a multi-disciplinary approach study process annual farm expansion, in addition predicting short term. Our hypothesizes that semi-intensive dependent on which can be accurately quantified by using remote sensing image classification combined with historical data aquaculture. We could calculate long-term expansion total forecast short-term. results highlight development over 28 years. The surface ponds grew more than 1100%. linear regression model between area, calculated sensing, statistical production, was strongly positive significant (r2 = 0.874, p =2.209e-11). Likewise, for as function time resulted strong statistically 0.936, =2.917e-15). demonstrated assessed based year, obtained sensing. estimated past zone data. This methodology valuable monitoring food security, management decisions, coastal ecology.