Description
How can satellite data help fishers make better decisions at sea? Fishing has always involved uncertainty, relying on fishers’ experience, local knowledge, and observations of changing marine conditions. Today, advances in satellite remote sensing, GPS technology, and Geographic Information Systems (GIS) offer new opportunities to complement this knowledge with environmental information and spatial analysis. From Satellite Data to Fishing Decisions: Data-Driven Fishing Forecast Maps for Sustainable Fisheries explores how these technologies can be integrated to develop Fishing Area Forecast Maps (FAFM) that support more informed fishing decisions. Combining GPS-based fishing records with satellite-derived sea surface temperature (SST) and chlorophyll-a (Chl-a) data, the book presents a practical framework for transforming field observations and oceanographic information into spatially explicit assessments of potential fishing areas. Using the Muara Kintap fishing ground in South Kalimantan, Indonesia, as a case study, the book illustrates the process of collecting fishing-location data, processing satellite imagery, integrating environmental indicators in GIS, and interpreting the resulting forecast maps. It also examines the limitations of satellite-based predictions, the importance of field validation, and the need to incorporate fishers’ feedback into an adaptive learning process. Bridging traditional fishing knowledge and digital intelligence, this book offers researchers, students, fisheries practitioners, and resource managers a practical perspective on data-driven fishing-ground assessment. Ultimately, it highlights how accessible technology, environmental information, and local knowledge can work together to support more informed fishing operations and contribute to the long-term sustainability of fisheries.