Qiusheng Wu- How Jupyter and geemap enable interactive mapping and analysis | JupyterCon 2020

Brief Summary geemap is a Python package for interactive mapping and analysis of large-scale geospatial datasets hosted in the Google Earth Engine cloud computing platform. This presentation highlights the use of geemap, ipyleaflet, and Jupyter widgets for interactive mapping and analysis of Earth Engine datasets, and demonstrates how to build and deploy interactive apps using Jupyter and Voilà. Outline The Earth is constantly changing, which brings profound challenges for the environment and human society. To address these challenges at the global scale, the Earth science community is heavily relying on geospatial datasets acquired from satellite, aerial, and mobile sensors. The explosive growth in geospatial datasets during the past decades is overwhelming the Earth science community’s capacity for storage, analysis, and visualization. The advent of the Google Earth Engine (GEE) cloud computing platform makes it possible to access, manipulate, and analyze large volumes of geospatial datasets on-the-fly. During the past few years, GEE has become very popular in the geospatial community and it has empowered numerous Earth science applications at local, regional, and global scales. GEE provides both JavaScript and Python APIs for making computational requests to the Earth Engine servers. However, compared with the comprehensive documentation and interactive IDE (i.e., GEE JavaScript Code Editor) of the GEE JavaScript API, the GEE Python API has relatively little documentation and limited functionality for visualizing datasets and computational results interactively. The geemap Python package was created to fill this gap. It is built upon ipyleaflet and ipywidgets, and enables users to analyze and visualize Earth Engine datasets interactively within a Jupyter-based environment. Geemap users can utilize the Python ecosystem of diverse libraries and tools to explore Google Earth Engine and perform planetary-scale geospatial analysis. Geemap was originally created to s