Emily Schechter

Discover how to perform complex remote sensing tasks without writing a single line of code. Learn how to use our newest tools Classify and Detect change to train the map to iteratively classify ecosystems and automatically detect critical surface changes to monitor protected areas and track environmental threats.

Kick off the summit by exploring Google's vision for nature protection and how we can support our users and partners in achieving lasting conservation and the 30x30 mission. Discover how we are democratizing advanced remote sensing and learn about the newest professional capabilities coming to Google Earth on web to empower front-line conservation.

Join Earth Engine PMs Alicia Sullivan and Emily Schechter for an overview of the newest data, features and capabilities in Earth Engine. Our engineers and scientists will also demo many of them live so you can see them in action.

An interactive session designed to explore the bridge between Google Earth Engine and Google Earth on the web. As we look to bring powerful geospatial datasets and analysis capabilities to no-code and low-code users, we want to hear from GIS experts and our Earth Engine partners and power users.

Introducing our new Satellite Embedding dataset. Learn how to get the most out of this AI-powered Image Collection, featuring hands-on examples and real-world case studies.

Learn about exciting new datasets available in the Earth Engine, Publisher, and Community data catalogs, with highlights on several Google-developed datasets for sustainability.

The session will highlight datasets added to the Earth Engine data catalog over the last year. It will also give a brief introduction into making edits to dataset defintions via GitHub and creating new publisher catalogs.

A deep dive into deep learning with Earth Engine and Vertex AI. A guided walkthrough on how to train and predict with a deep learning neural network showcasing new and improved integrations of Earth Engine and Vertex AI.

Overwhelmed with the volumes of publicly available geospatial datasets? Want to skip laborious pre-processing and harmonization so you can make better maps faster?

The session will highlight datasets added to the Earth Engine data catalog over the last year. It will also give a brief introduction into making edits to dataset defintions via GitHub and creating new publisher catalogs.

A deep dive into deep learning with Earth Engine and Vertex AI. A guided walkthrough on how to train and predict with a deep learning neural network showcasing new and improved integrations of Earth Engine and Vertex AI.

Overwhelmed with the volumes of publicly available geospatial datasets? Want to skip laborious pre-processing and harmonization so you can make better maps faster?

In this session, you'll get an introduction to machine learning in Earth Engine. We'll introduce machine learning concepts and the ways they can be applied with Earth Engine, then walk through a simple example using classifiers in the Earth Engine Code Editor.

During this session, our keynote and product talk speakers will be answering your questions live. If you have questions for us, please add them to the Q&A at any time before or after this session.