Combining Remote Sensing and Citizen Science to Bridge the Water Quality Data Gap: Lake Titicaca Case Study

This study addresses the critical issue of water quality monitoring in Latin America, focusing on Lake Titicaca, the second-largest lake in South America and the most important water resources in the Andes region. Despite its significance, the lake's water quality has been deteriorating over the years, posing significant threats to surrounding indigenous communities. The study proposes a novel approach, combining satellite-borne sensors, mobile sensing applications and conventional in-situ measurement techniques, with a key emphasis on continuous data validation to ensure reliable remote sensing water quality estimations. Leveraging citizen science, the research actively engages local indigenous communities in the monitoring process, aiming to generate valuable data for validation whilst enhancing community involvement. The study advocates for an integrated strategy that incorporates technological advancements and community empowerment to address the complex challenges of water resource management in the region.