Coder Social home page Coder Social logo

Qiusheng Wu

GitHub Badge Twitter Badge Google Scholar Badge UTK Badge YouTube Badge LinkedIn Badge CV Badge Donate Badge Visitor Badge

Dr. Qiusheng Wu is an Associate Professor in the Department of Geography & Sustainability at the University of Tennessee, Knoxville. In addition, he holds positions as an Amazon Visiting Academic and a Senior Research Fellow at the United Nations University. Specializing in geospatial data science and open-source software development, Dr. Wu is particularly focused on leveraging big geospatial data and cloud computing to study environmental changes, with an emphasis on surface water and wetland inundation dynamics. He is the creator of several open-source packages designed for advanced geospatial analysis and visualization, including geemap, leafmap, and segment-geospatial. For a closer look at his open-source contributions, please visit his GitHub repositories at https://github.com/opengeos.

Open-source Projects

Latest Blog Posts

github stats Top Langs

Qiusheng Wu's Projects

manjaro-linux icon manjaro-linux

Shell scripts for setting up Manjaro Linux for Python programming and deep learning

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

morphsnakes icon morphsnakes

Morphological snakes for image segmentation and tracking

natural-earth-vector icon natural-earth-vector

A global, public domain map dataset available at three scales and featuring tightly integrated vector and raster data.

osgeopy-code icon osgeopy-code

Code for the book Open source geoprocessing with Python

pandas_alive icon pandas_alive

Create stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`

pixel-decoder icon pixel-decoder

A machine learning python package to run deep learning with satellite imagery

pixel_level_land_classification icon pixel_level_land_classification

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

postgis icon postgis

Spatial Data Management with PostgreSQL and PostGIS https://gishub.org/sdm

prj_earthengine_hydroshare icon prj_earthengine_hydroshare

Ongoing work to integrate EarthEngine Python API into Hydroshare JupyterHub for lectures. Examples and code are presented

pygis icon pygis

A Python package for installing optional dependencies for geemap and leafmap.

pyhydro icon pyhydro

A Python package for modeling fill-spill hydrology in depression-dominated landscapes

pypackage icon pypackage

Cookiecutter template creating a Python package with mkdocs

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.