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This event is co-sponsored by DataPhilly and GeoPhilly. Please RSVP to only one of the meetup groups.

Schedule:
6:00pm: Welcome
6:15 to 8pm: Workshop

Workshop: Geospatial Data Analysis
Landcover classification using satellite data (e.g. Landsat8, Sentinel2, etc.) is becoming more and more popular as it is the foundation for many other projects (city planning, farm management, etc.). However, downloading large-sized satellite images (GBs) can be time consuming and requires large memory space. On the other hand, Google Earth Engine Python API provides an easy and fast way to get access to and query satellite data to points of your interest.

In this workshop, we will learn how to use Google Earth Engine Python API to get time-series Sentinel2 data to two groups of points: points in urban area and points in crop lands, and then visualize and compare time-series Sentinel2 spectrums of points in urban areas and crop lands.

If time permits, we will explore how to build up a machine learning model for landcover classification (cropland vs. urban land) using the above time-series data we obtain.

Presenter: Dr. Fei Jiang
Dr. Fei Jiang obtained her PhD from the Pennsylvania State University in 2020. Her past research aimed to address water pollution problems from agriculture watersheds in Pennsylvania using a variety of GIS and other geospatial analysis techniques. After that, she joined PlantVillage at Penn State as a GIS and machine learning expert. Together with her wonderful team, she works towards helping millions of smallholder farmers in Africa adapt to climate change and combat pest attacks.

Pre-requisites: Basic python knowledge

Please follow the instructions at the link below to download materials and open source software in advance of the workshop.
https://github.com/PlantVillage/dataphilly_Jiang

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