Andréa Puzzi Nicolau

Join us for a dynamic panel where we explore the heart of geospatial impact: the people who use it! We'll dive into how effective stakeholder and community engagement transforms data into action, and how initiatives are building global capacity in earth observation.

Many would say that Land Classification is Earth Engine's raison d'etre. Having built a classifier, new users of Earth Engine are often amazed at their ability to pan and zoom across the entire earth's surface and comprehensively see the results of their model.

Many would say that Land Classification is Earth Engine's raison d'etre. Having built a classifier, new users of Earth Engine are often amazed at their ability to pan and zoom across the entire earth's surface and comprehensively see the results of their model.

During this session, you'll hear 9 lightning talks featuring topics around sustainable land management and conservation as well as supply chain transparency and traceability. Iago Mendes, National Wildlife Federation, “Leveraging Google Earth Engine Apps: A Dashboard for Socio-Environmental Insights in Pará State” Maria Hunter, Remote Sensing and GIS Lab (LAPIG), Universidade Federal de Goiás, “Mapping Grasslands Worldwide-- the Global Pasture Watch Consortium” Andrew Mullen, Woodwell Climate Research Center, “The Rangeland Carbon Tracking and Management Tool” Alejandra Gill, Paracel S.A., “Ma

During this session, you'll hear 9 lightning talks featuring topics around the use of Google Earth Engine (GEE) and other Google Cloud tools for geospatial data processing, analysis, and visualization, showcasing technical tools and workflows that tackle diverse geospatial challenges across various domains. Ian Housman, RedCastle Resources Inc.

In this session, we will explore the intersection of technology, collaboration, and transparency in commodity supply chains. Bringing together experts from various organizations and multi-stakeholder partnerships to delve into the production of open datasets designed to enhance supply chain traceability and sustainability.

If you've worked with optical remote sensing images, you've probably had to deal with clouds, cloud shadows, and other atmospheric artifacts. Flagging and masking these artifacts is a common, yet surprisingly challenging step in most image processing workflows.

Despite the importance of in situ data for generating accurate and timely environmental insights, technical and human factors often limit the frequency and scale at which data can be collected. Ground is an experimental, open-source platform for collecting geospatial and structured data with Android phones in locations with intermittent connectivity.

In this breakout session, we will introduce attendees to the multimedia effort Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications. This is the product of more than a year of volunteer effort from more than a hundred individuals, working in concert to provide coordinated open-access learning resources for learning how to use Earth Engine for the public good.