Satellite Image Analysis Special Interest Group

Meeting Time: Winter Quarter Every other Wednesday, 12:30-1:30pm

Date Topic Presenters
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


Date Topic Presenters
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.

Group Objectives:

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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