BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//pretalx.com//foss4gnl//speaker//V3CVBQ BEGIN:VTIMEZONE TZID:Europe/Amsterdam BEGIN:DAYLIGHT DTSTART:20250708T000000 TZNAME:CEST TZOFFSETFROM:+0200 TZOFFSETTO:+0200 END:DAYLIGHT BEGIN:STANDARD DTSTART:20251026T030000 RDATE:20261025T030000 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20260329T030000 RDATE:20270328T030000 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT 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:20260726T045922Z 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/ END:VEVENT BEGIN:VEVENT SUMMARY:OpenRiverCam: FOSS for operational monitoring of river flows with cameras - Hessel Winsemius DTSTART;TZID=Europe/Amsterdam:20260709T140500 DTEND;TZID=Europe/Amsterdam:20260709T142500 DTSTAMP:20260726T045922Z UID:pretalx-foss4gnl-ZKNPCG@pretalx.com DESCRIPTION:Over a decade ago\, researchers started to investigate how to monitor river flows with camera video footage. This offers the promise tha t river monitoring may become low-cost\, and carried out with off the shel f IoT materials. This led to first successful applications of river flow m onitoring from videos. The workflow typically consists of acquiring a vide o from an oblique angle\, pre-process to bring forward moving tracers such as advecting ripples\, bubbles or eddies\, orthorectification (i.e. repro jecting pixels to meter distance\, some form of tracing patterns or partic les from frame to frame and from location to location\, and combining velo cities with a surveyed cross-section to yield river flow in cubic metre pe r second. Several free and sometimes open-source existing applications all ow users to load videos in a user interface\, and perform the steps intera ctively. However\, operational\, real-time\, automated flow observations w ith camera videos so far was only feasible with proprietary hardware and s oftware solutions\, compromising the promise of affordability and local ma intenance of services.\n\nWith OpenRiverCam\, for the first time any user can acquire materials for a station\, setup an automated workflow using th e on-site OpenRiverCam Operating System (_ORC-OS_)\, and even collect data centrally on a central server-side REST API called LiveOpenRiverCam (_Liv eORC_). Not only does the ecosystem provide software\, it also provides ex tensive doumentation that guides a user how to establish a field hardware setup\, and how to install and survey the station. The documentation forms an integral part of the ecosystem\, as it allows a user truly become inde pendent of the developers. In this presentation\, I will demonstrate the c urrent capabilities of the software\, the underlying methods\, the on-site application _ORC-OS_ and how it runs on a standard Raspberry Pi 5\, and t he REST API _LiveORC_. I will also demonstrate how first users are able to establish services in their own local context with locally fit business p ropositions with examples from Zambia\, California – US\, and Indonesia. LOCATION:Brunsemazaal URL:https://pretalx.com/foss4gnl/talk/ZKNPCG/ END:VEVENT END:VCALENDAR