Federal grant · project grant (b)
Environmental Monitoring and Forecasting for Marine, Coastal and Terrestrial Environments Plays a Critical Role in Informed Decision Making for a Wide Range of Stakeholders in Government and Regulatory Agencies, Private Industry, and the Scientific Community. the Need for High-quality Rapid Data and Analytics Is Becoming Increasingly Important in the Face of a Changing Climate, Which Threatens to Disrupt Ecosystems, Alter Global Weather Patterns, and Increase the Frequency and Severity of Extreme Events Across the Globe. We Propose to Develop the Deepspace-ai Platform, for Automated Monitoring and Forecasting of Environmental Phenomena on a Global Scale. the Deepspace-ai Platform Will Automate the Import of Satellite Imagery and Complementary Data Streams for Areas of Interest, and Process This Data Using a Range of Machine Learning Models for Object-detection, Area-based Segmentation, and Forecasting. Additionally, the Platform Will Include Assisted Annotation Tools Supporting Efficie
Committed
$497,263
Paid out
$318.3K
64%
Committed, not yet paid
$179.0K
36%
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