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.
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.
This presentation highlights the use of geemap and the Jupyter ecosystem for interactive mapping and analysis of large-scale geospatial datasets, and demonstrates how to build and deploy interactive apps using Jupyter and Voilà.
This presentation is intended for scientific programmers, data scientists, data journalists, geospatial analysts, and concerned citizens of Earth. The attendees are expected to have a basic understanding of Python and the Jupyter ecosystem. Familiarity with Earth science and geospatial datasets is useful but not required.