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SUMMARY:OpenRiverCam: open-source monitoring of water levels\, velocities 
 and discharge of open water with video as a sensor - Hessel Winsemius
DTSTART;TZID=Europe/Amsterdam:20260708T150000
DTEND;TZID=Europe/Amsterdam:20260708T163000
DTSTAMP:20260726T041148Z
UID:pretalx-foss4gnl-VTKXVE@pretalx.com
DESCRIPTION:**Background**: OpenRiverCam is a free and open-source ecosyst
 em for measuring water levels\, velocities and discharge using image-based
  methods. The main input is a short video of the water surface. Videos are
  geographically registered\, preprocessed\, orthorectified\, analyzed for 
 velocities\, and combined with cross-section information to yield water le
 vels and flows. It converts pixel distances into meters\, extracts moving 
 details\, uses cross correlation to estimate velocities\, and combines pre
 -measured bathymetric surveys to yield water levels and discharge. For a v
 ery clear example\, check out the front page of https://openrivercam.org. 
 The first two software products created in this ecosystem provide fully op
 erational\, autonomous and automated measurements for applications such as
  irrigation\, real-time hydropower control\, flood early warning and infra
 structure design:\n\n- OpenRiverCam Operating System (_ORC-OS_): runs on a
  SBC in the field and operationally collects and processes videos. Analyse
 s can be sent to the cloud if the user wants this. _ORC-OS_ is equipped wi
 th a user-friendly web interface for configuration\, live monitoring\, and
  direct access to data and videos stored on the device.\n\n- LiveOpenRiver
 Cam (_LiveORC_): a REST API receiving videos from _ORC-OS_ devices\, centr
 ally storing these and serving these out as raw downloads or to applicatio
 ns for e.g. decision support.\n\n**The cool thing for this workshop:** all
  ORC applications are built on a Python API with command-line interface ca
 lled pyOpenRiverCam (_pyORC_). _PyORC_ makes available all methods through
  API including image stabilization\, pre-processing\, orthorectification\,
  velocimetry analysis\, discharge estimation and intuitive plotting. It al
 so offers workflows for command-line processing of videos into water level
 s\, velocities\, and discharge. Moreover\, if image registration control p
 oints are geographical\, all outputs are geographical as well! Data can be
  exported to _QGIS_ compatible meshes\, and visualized\, and trace simulat
 ions and combinations with other geographical data can be made.\n\nIn this
  90-minute workshop we will install _pyORC_ and process one or two drone v
 ideos into velocity products that can be ingested in QGIS. We will go thro
 ugh the entire process up to the point where you see data in QGIS. _Bring 
 your own laptop and make sure QGIS and Python are pre-installed! Linux or 
 Windows? Both is fine!_
LOCATION:HoC Patina
URL:https://pretalx.com/foss4gnl/talk/VTKXVE/
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