The proposed project aims to enhance the management and conservation of the ross sea region marine protected area (rsrmpa) through the implementation of the big blue cloud, a cloud-based data…

This is a $747,935 NASA grant awarded to Ocean Motion Technologies Inc., a minority-owned small disadvantaged business in Pomona, California. The grant will support the implementation of the "Big Blue Cloud," a cloud-based data science platform developed by the company, to enhance the management and conservation of the Ross Sea Region Marine Protected Area (RSRMPA) in Antarctica.

The project aims to integrate NASA Earth observation data with in-situ datasets to provide critical support for evidence-based decision-making, improving the effectiveness of conservation efforts in the RSRMPA. Established in 2016 by the Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR), the RSRMPA seeks to protect ecologically significant areas from threats like fishing and climate change. This grant will address gaps in current conservation efforts, such as sparse and infrequent observations, single-discipline research, and fragmented stakeholder engagement, by offering a comprehensive data science environment for hosting, synthesizing, analyzing, and visualizing diverse datasets.

The proposed project aims to enhance the management and conservation of the ross sea region marine protected area (rsrmpa) through the implementation of the big blue cloud, a cloud-based data science open platform developed by ocean motion technologies (OMT). By integrating NASA earth observations with in-situ datasets, the project will provide critical support for evidence-based decision-making, significantly improving the effectiveness of conservation efforts in the rsrmpa. Established in 2016 by the commission for the conservation of antarctic marine living resources (ccamlr), the rsrmpa aims to protect ecologically significant areas from the primary threats of fishing and climate change. However, its success depends on robust management, involving active research and continuous monitoring to assess changes in ecosystem structure and function. Our data platform will address critical gaps in current conservation efforts. These include sparse and infrequent observations, single-discipline research, and fragmented stakeholder engagement. The platform offers a comprehensive data science environment for hosting, synthesizing, analyzing, and visualizing diverse datasets. Key functionalities include robust data governance, version control, advanced analytics, and interactive dashboards.