Satellite Image Analysis Special Interest Group
Meeting Time: Winter Quarter Every other Wednesday, 12:30-1:30pm
|Jan 9, 3:30-5:00pm||Networking Event||Shay Strong: Machine Learning with Satellite Imagery: From Water Conservation to Catastrophe Assessment|
|Jan 23, 12:30 -1:30pm||Labelling Human Activities on Satellite Imagery||Wanli Cheng|
|Feb 6, 12:30-1:30pm||Delineating and characterizing Pacific Northwest forest conditions with Machine Learning models trained on publicly-available data||David Diaz|
|Feb 20, 12:30-1:30pm||A Road Map for Remotely Sensed Snow Product Feasibility using Google Earth Engine||Victoria Ly|
|Mar 6, 12:30-1:30pm||A GEE and Python workflow for cloudy gap filling in flood detection||Ian Davies|
|Mar 20, 12:30-1:30pm||Google Earth Engine Tutorial||Matthew Bonnema|
Meeting Time: Fall Quarter Every other Thursday, 12:00pm - 1:00pm
|Nov 1||Lightning Talks||All|
|Nov 15||Data Processing Workflows||David Diaz: Dask.distributed pipeline chaining together command line calls for point cloud processing on a single server
Amanda Tan: Simplified Workflow for Processing and Analyzing High-Resolution Satellite Imagery
Valentina Staneva: From Open Satellite Data to Emergency Response
|Nov 29||Data Processing Workflows||Aji John: Serverless Workflow Enablement and Execution Platform (SWEEP)
Scott Henderson: The Pangeo project and Cloud-native workflows for satellite imagery
Location: WRF Data Science Studio, UW Physics/Astronomy Tower, 6th floor
With the rise of publicly available satellite imagery data sets provided by both federal institutions and private companies, opportunities have grown to use these data sets to answer questions in a variety of domains (geosciences, social sciences, urban studies, etc).
Satellite and other aerial images can provide observations of the Earth at very high spatial and temporal resolution, but with that come challenges around managing large scale data sets and extracting relevant information from high-dimensional data.
- Build a community of users of satellite/aerial imagery
- Learn about each other’s work
- Learn about state-of-the-art methods and tools for large scale data processing and computer vision
- Identify common challenges in accessing, processing, and analyzing satellite/aerial imagery
- Together build software tools and advance the methodology in the domain
During the first meeting we will discuss what activities we can engage in as a group: tutorials, scientific discussions and tool exploration. We welcome participants from any domain across campus. We plan on having biweekly meetings during the quarter. A hackathon will also be held in the beginning of Winter Quarter for participants and collaborators to spend some focused time working on projects together.
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Here you can find some useful resources.