Workshop organized and led by Dr Taylor Smith (University of Potsdam, Germany), Dr Bodo Bookhagen (University of Potsdam, Germany) and Dr Shakil Regmi (South-Eastern Finland University of Applied Sciences, Finland)
Workshop Goals: The workshop aimed to present open-source data processing methods for working with time series and satellite data, with a particular focus on snow, water, and rainfall. The participants gained hands-on experience with open-source data processing tools, data visualization, and the design of open-source hardware.
All workshop materials can be found on github.
YouTube recordings are available here.
Detailed Workshop Schedule:
Day 1: Satellite Data Processing with Open-Source Tools
- overview of satellite climate Data with focus on hydrologic and sediment flux data
- introduction to Google Earth Engine and extracting relevant data for study sites
- integrating watershed data and mapping climate trends
- creating visualizations and consistent reports
Day 2: Designing, Building, and Analyzing Data from Open-Source Sensors
- measuring high-fequency hydro-climatic data
- designing and building a low-cost river monitoring station
- collecting, transmitting, and prcessing high-frequency data
- combining sensor and satellite data for further analysis
- research outlook and practical applications in Nepal
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