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Here you can find links to all information and videos of the 2021 DSOS/AEMON-J Virtual Workshop and Summit. All recordings are available on our OSF archive The organisers of this event were:
Introduction A brief introduction to remote sensing and earth observation Nuria Sanchez Lopez (@Sanchez_LopezN; University of Idaho) Link to video
Keynote Extrapolating in situ knowledge via satellite remote sensing: Moving towards global scale analyses Xiao Yang (@XiaoYan20198978; University of North Carolina) & Simon Topp (@simonNtopp; U.S. Geological Survey) Link to video
Workshop Observing lakes from space: How to leverage remote sensing to better understand lake dynamics Xiao Yang (@XiaoYan20198978; University of North Carolina) & Simon Topp (@simonNtopp; U.S. Geological Survey) Link to workshop material The recording is available on our OSF archive
Introduction An introduction to the National Ecological Observatory Network (NEON) data, metadata, and tools Kaelin Cawley (@KaelinCawley; National Ecological Observatory Network) Link to video
Keynote Application of a near-term, iterative water temperature forecasting workflow in NEON lakes Ryan McClure (@ryan_mclake; Virginia Tech) Link to video
Workshop Download and visualize NEON Aquatic Instrument Data Kaelin Cawley (@KaelinCawley; National Ecological Observatory Network) & Bobby Hensley (National Ecological Observatory Network) Link to workshop material The recording is available on our OSF archive
Introduction When you’re likely to gain from machine learning, and when not: A mildly sceptical introduction for beginners Mridul K. Thomas (@mridulkthomas; University of Geneva) Link to video
Keynote Machine learning applications in water hydrology and hydraulics Elena Matta (@ElenaMatta3; Politecnico di Milano - Environmental Intelligence Lab) Link to video
Workshop A brief hands-on introduction to machine learning for regression Mridul K. Thomas (@mridulkthomas; University of Geneva) Link to workshop material The recording is available on our OSF archive
Introduction Numerical simulation of dynamic systems with R: an introduction Thomas Petzoldt (Technische Universitaet Dresden; ResearchGate; GitHub) & Karline Soetaert (Royal Netherlands Institute for Sea Research; ResearchGate; GitHub) Link to video
Keynote Reactive transport modeling in porous media at the experimental scale Deviyani Gurung (Washington State University) Link to video
Workshop Simulation of dynamic systems with R: pools, reactions, interaction and transport Thomas Petzoldt (Technische Universitaet Dresden; ResearchGate; GitHub) & Karline Soetaert (Royal Netherlands Institute for Sea Research; ResearchGate; GitHub) Link to website with source code and materials The recording is available on our OSF archive
All recordings are available on our OSF archive
Rachel M. Pilla (@rmpilla)
Building a Global Data Set of Long-Term Summertime Vertical Temperature Profiles
Arnab Shuvo
Understanding the drivers of primary production in lakes worldwide by creating an open-access water quality database
Alli N. Cramer (@AlliNCramer)
Pairing tagging data to biophysical models
Lauren Koenig (@lekoenig)
How does river productivity respond to disturbance? Using models to bridge the gap between big-data patterns and ecological processes
Bella Oleksy (@isabella_oleksy) and Sarah Collins (@eco_scollins)
Using sparse models to gain a deeper, mechanistic understanding of freshwater ecosystems
Dustin Kincaid (@dustinkincaid) and Scott Hamshaw (@sdhamshaw)
Watershed Data Science at the Event Scale: Challenges and New Approaches for Defining and Characterizing Event Concentration-Discharge Dynamics
J. Rafael Cavalcanti
Integrando escalas, processos e modelos: O esforço para geração de resultados é necessário?
Integrating scales, processes and models: Is the effort in fact necessary?
Shengyu Chen
Deep learning predictions of water temperature in stream-reservoir networks
Maike Sonnewald
No free lunch: Robustly revealing mechanisms of ocean circulation change under global heating with transparent ML
Panelists:
All recordings are available on our OSF archive
Kelly Hondula (@kellyproof)
Using leaflet for interacting with geospatial data in R
Colleen Nell (@collnell)
Visualizing flow: reflections from a year of water data viz
Johannes Feldbauer
Using LakeEnsemblR to simulate future water temperature and stratification for a drinking water reservoir in Germany
Chris Erdmann (@libcce)
Accelerating Science: The Importance of Making Research Data Useful and Usable
J Stachelek (@__jsta)
Challenges and future directions for hacking lake bathymetry data
Sheila Saia (@sheilasaia)
Developing an Open Source Web App to Forecast Shellfish Harvest Closures in Coastal North Carolina
Patrick Hanly
Enhancing the usability of community science biological data for continental-scale limnology
Kaelin Cawley (@KaelinCawley)
Integrating NEON observational and sensor data to produce continuous discharge using a Bayesian model
Jennifer Adam
Forecasting Water Supply and Demand in the Columbia River Basin
Amina Pollard
Leveraging data to inform aquatic resource management options
Panelists:
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