Coffee Hour Lecture: Using Google Earth Engine for interactive mapping and analysis of large-scale geospatial datasets

Coffee Hour is a Friday lecture hosted every other week by the Department of Geography celebrating interdisciplinary scholarship and collegiality. For fall semester 2020, talks will be held via Zoom webinar.


Qiusheng Wu is an assistant professor in the Department of Geography at the University of Tennessee, Knoxville. His research interests include geographic information science (GIS), remote sensing, and environmental modeling. More specifically, he is interested in applying geospatial big data, machine learning, and cloud computing (e.g., Google Earth Engine) to study environmental change, especially surface water and wetland inundation dynamics.


Google Earth Engine is a free cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets. During the past few years, Earth Engine has become very popular in the geospatial community and it has been used for numerous environmental applications at local, regional, and global scales. In this presentation, Wu will first introduce the geemap Python package ( for interactive mapping and analysis with Earth Engine. Then, Wu will introduce the Earth Engine plugin for QGIS along with 300+ Python examples. Lastly, Wu will demonstrate how Earth Engine can be used for automated mapping of surface water and wetland inundation dynamics with 1-m resolution aerial imagery and LiDAR data.