Ecologically sensitive marine areas along the coast of Qatar and elsewhere are large and remote, making it difficult to monitor for impact from threats such as climate change and pollution. Similarly, several areas around the world are flooded regularly and relief workers face many challenges in gathering data and delivering medicine and food to trapped flood victims. To address these problems, we propose to develop a fleet of small, autonomous robotic boats for gathering information and delivering light payloads. This research focuses on addressing challenges related to coordinating teams of robotic boats for monitoring and payload delivery rather than on basic robotic watercraft technology. Specifically, we address three research issues. First, we will develop algorithms for automated fleet coordination for long-duration operations under conditions of intermittent communication and limited power. Second, we will develop algorithms to intelligently reason about travel routes that maximize data gathering and execute delivery tasks. Third, we will create operator interfaces for overseeing the fleet. Our project will yield several outcomes. Practically, we will create a functional fleet of robotic boats that can be used to monitor marine ecosystems and assist relief efforts in flooded areas. We will also advance of the state of the art in research related to coordination, dynamic route planning, information gathering, and human interfaces for robotic teams.