Accelerating Remote Sensing with Google Earth Engine

Webinar Speakers:

Emma Izquierdo-Verdiguier, Álvaro Moreno, Eric Smit

Affiliation:
  • 31 March 2026
  • 9:00 AM UTC
  • Sponsored by GRSS
  • ESI - TC Webinar

About the Webinar

Google Earth Engine (GEE) is a cloud-based platform that democratizes access to Google’s computational capabilities, allowing for planetary-scale geospatial data analysis to address critical societal issues. Unlike other platforms, it is an integrated tool that is not only accessible to remote sensing scientists but also to a broader audience, who may lack the technical expertise to utilize traditional supercomputers or large-scale cloud computing resources. In this session, we will cover the basics of using GEE for Earth observation and data processing. You will learn how to work with GEE’s multi-petabyte analysis-ready data catalog and understand the peculiarities and logic of using the platform properly. During the hands-on sessions, you will get practical experience in utilizing GEE’s powerful machine-learning capabilities for classification and regression tasks. Additionally, we will show you how to import and export your own data and provide examples of how you can share your results with broader audiences using GEE’s shareable user interfaces.

 

About the Speakers

Emma Izquierdo-Verdiguier (Ph.D., 2014, University of Valencia) is an Senior Scientist in the Institute of Geomatics at the University of Natural Resources and Life Sciences (BOKU, Vienna). Her research interests are focused on the use of Earth Observation data and cloud computing environment for land surface phenology. Her previous research focused on machine learning applied to remote sensing data. In particular, nonlinear feature extraction based on kernel methods, and on automatic object identification and classification using multispectral images. She is also an external professor of the Master of Remote Sensing at the University of Valencia. In 2012, her paper was ranked second in the student’s competition of the IEEE Geoscience and Remote Sensing Symposium (IGARSS). Dr. Izquierdo-Verdiguier is a Google Developer Expert from 2022 and a member of the ELLIS AI excellence network from 2024.

 

Alvaro Moreno-Martínez earned a Ph.D. degree in Physics (2014, summa cum laude) from the University of València, and he is currently a Senior Researcher at the Image Signal Processing Group (ISP) at the same university. Dr. Moreno is a Google Developer Expert (GDE), and his research has been mainly focused on the development of physical and advanced machine learning models and the implementation of operational methodologies for the study of vegetation cover through satellite imagery at different spatial/temporal scales. He has published 44 papers in international peer-reviewed journals, 3 book chapters, and more than 80 international conference presentations. Dr. Moreno is professor at the University of Valencia, and he has participated in 12 projects (7 national, 5 international), and member of the European Geosciences Union, IEEE, and the American Geophysical Union.

 

 

Eric Smit is a doctoral candidate at BOKU University, Vienna, working in the BodenPioniere 2050 project group. He completed his BSc and MSc in Civil Engineering and Water Management at the same university, focusing on geomatics and remote sensing. The goal of his current research is the evaluation of sustainable agricultural management practices in Austria, from an Earth Observation perspective. This effort includes soil samples as ground truth data, remote sensing data over multiple spatial, temporal and spectral scales, and interpretable machine learning algorithms.

Recorded Webinar

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