Qiusheng Wu
I am an Assistant Professor in the Department of Geography at the University of Tennessee, Knoxville. My research interests include Geographic Information Science (GIS), remote sensing, and environmental modeling. More specifically, I am 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. I am a strong advocate of open science and reproducible research. More information about my research and teaching can be found on my personal website and research blog.
Open-source Projects
- Linux: manjaro-linux
- R packages: whiteboxR
- Python packages: geemap | eefolium | geehydro | lidar | whitebox-python | geospatial | pygis | pypackage
- ArcGIS Toolboxes: WhiteboxTools-ArcGIS | Depression Analysis Toolbox | Wetland Hydrology Analyst
- Google Earth Engine: Awesome-GEE | earthengine-py-notebooks | qgis-earthengine-examples | earthengine-apps
Latest Blog Posts
- GEE Tutorial #47 - How to download image thumbnails from GEE
- GEE Tutorial #46 - How to use locally trained machine learning models with GEE
- GEE Tutorial #45 - How to create a virtual mosaic of Cloud Optimized GeoTIFFs (COG)
- GEE Tutorial #44 - How to use Cloud Optimized GeoTIFF (COG) and SpatioTemporal Asset Catalog (STAC)
- eefolium - A Python package for using Earth Engine with Google Colab