AGU Fall Meeting 2023  Scientific Workshop

Sustainable development requires an informed decision-making process. Earth Observation (EO) data, obtained from the growing constellation of public and private satellites, has become an indispensable tool for mapping, monitoring, and modeling processes.

 

It is increasingly recognized that the value of integrating data from multiple sensors is key to increasing the number of variables, spatial and temporal resolution, and ensuring data continuity over long periods. Satellite missions like the NASA Global Precipitation Measurement Mission (GPM), NASA/USGS Landsat, and NASA Soil Moisture Active Passive (SMAP) can provide users with data that, when integrated, offer robust solutions to data needs around the world.

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However, data fusion and integration present specific challenges that must be carefully addressed. Different spatial and temporal resolutions as well as satellite observations, for instance, call for specific methods and approaches to ensure the accuracy and usefulness of the end products made available to users.

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In this workshop we will guide users through a comprehensive - and real - use case, highlighting how different missions and technologies can be integrated to deploy robust solutions. The use case will be the result of interactions with stakeholders and the development of a set of requirements based on real-world needs. During the workshop, which took place January 24, 2023, the speakers provided a thorough analysis of available datasets and state-of-the-art methodologies with practical applications and code examples (e.g., Google Earth Engine)..

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Learning objectives: This workshop is designed to introduce Earth scientists, practitioners, and decision-makers to the wealth of Earth Observation data available and inspire the development of new and impactful solutions.

Participants will: 1) Refresh basic principles of EO and learn about emerging trends in this domain; 2) Understand how multi-sensor EO systems can provide a wide range of critical, multivariate, and interconnected data; 3) Understand how to create a solution starting from a set of user needs and requirements; 4) Gain hands-on experience on finding and integrating relevant datasets including precipitation estimates, soil moisture, evapotranspiration, land cover mapping, and vegetation dynamics.

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Recordings and more, coming soon!