Geospatial analysis with Google Earth Engine

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Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This workshop will provide an introduction to GEE. We will cover data models in GEE, basic vector and raster operations, and classification in both feature and image space.

You should be familiar with vector and raster data, GIS and remote sensing. We will use the web-based IDE for the Earth Engine JavaScript API. You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine.

School of Information Guest Lecture: Zhenhui (Jessie) Li, PhD, Pennsylvania State University

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jessie-li-photo

Zhenhui (Jessie) Li, PhD

Assistant Professor of Information Sciences and Technology

Pennsylvania State University

 

 

“Toward Semantic Understanding of Spatial Trajectories”

Abstract: How could we harness the increasingly available big data to understand our dynamic ecosystem? For example, why people or animals move in the space in certain ways and how do their movements respond to surrounding environments? Why are crimes more frequent in certain regions and can we explain it using heterogeneous urban data? Is shale gas development contaminating our environment and how to mine the correlations between environment and all potential factors?

Our research aims to develop data mining techniques for geospatial data collected from different sources to semantically understand trajectories, urban dynamics, and environment, by closely collaborating with domain experts. In this talk, I will focus on data mining techniques to understand spatial trajectories. I will first discuss why existing methods often make trivial discoveries when contexts are not considered. I will then present our recent results in semantic understanding of trajectories with rich spatial-temporal contexts. I will also show that using cross-domain big data is critical to understand crimes and environment. Throughout the talk, I would like to share my experiences in exciting interdisciplinary collaborations.

Bio: Dr. Zhenhui (Jessie) Li is Assistant Professor of Information Sciences and Technology at the Pennsylvania State University. Prior to joining Penn State, she received her PhD degree in Computer Science from University of Illinois Urbana-Champaign in 2012, where she was a member of data mining research group. Her research has been focused on mining heterogeneous and large-scale geospatial data with applications in ecology, environment, social science, urban computing, and transportation. She is a passionate interdisciplinary researcher and closely collaborates with social scientists, animal scientists, criminologists, and geoscientists. To learn more, please visit her homepage: https://faculty.ist.psu.edu/jessieli

Lunch is served at 11:45 am.