Harnessing Earth Observation and Socio-Economic Insights for Sustainable Aquaculture Development: Lessons from Bangladesh and Kenya

Abstract

Aquaculture plays an important role in fostering economic growth and addressing rural poverty in numerous regions worldwide. The AQUADMC (Optimising AQUAculture Development and Market Connectivity) project focuses on integrating diverse datasets, including EO-derived information and socio-economic data, to support the development of freshwater and coastal aquaculture in various parts of Bangladesh and Kenya. Using satellite imagery, socio-economic insights, and logistical analysis, the project seeks to optimise site selection, enhance market connectivity, and promote environmentally sustainable practices. The methodology employs advanced satellite technologies to monitor water quality parameters in rivers, lakes and coastal areas. Indicators such as turbidity, chlorophyll-a concentrations, salinity and surface temperature are analysed to evaluate environmental suitability for aquaculture activities. Water quality data obtained through the application of algorithms on satellite imagery are complemented by historical, socio-economic data tracing the evolution of aquaculture practices in the analysed regions. The integration of socio-economic and logistical data in the identification of aquaculture trends seems to demonstrate a strong alignment with water quality data derived from satellites for the monitoring of existing aquaculture sites and the possible location of new ponds. The project is an interactive decision support tool, providing policymakers and stakeholders with a comprehensive resource for making informed decisions. The AQUADMC project represents an exemplary case of international cooperation in Earth observation. These efforts highlight the critical role of collaborative approaches in promoting sustainable aquaculture development in Bangladesh, Kenya and beyond.