Version 1
: Received: 9 August 2023 / Approved: 10 August 2023 / Online: 11 August 2023 (07:54:42 CEST)
How to cite:
Winsemius, H.; Annor, F.O.; Hagenaars, R.; Van de Giesen, N.; Luxemburg, W.; Hoes, O. Towards Open Access and Open Source Software for Image-Based Velocimetry Techniques. Preprints2023, 2023080896. https://doi.org/10.20944/preprints202308.0896.v1
Winsemius, H.; Annor, F.O.; Hagenaars, R.; Van de Giesen, N.; Luxemburg, W.; Hoes, O. Towards Open Access and Open Source Software for Image-Based Velocimetry Techniques. Preprints 2023, 2023080896. https://doi.org/10.20944/preprints202308.0896.v1
Winsemius, H.; Annor, F.O.; Hagenaars, R.; Van de Giesen, N.; Luxemburg, W.; Hoes, O. Towards Open Access and Open Source Software for Image-Based Velocimetry Techniques. Preprints2023, 2023080896. https://doi.org/10.20944/preprints202308.0896.v1
APA Style
Winsemius, H., Annor, F.O., Hagenaars, R., Van de Giesen, N., Luxemburg, W., & Hoes, O. (2023). Towards Open Access and Open Source Software for Image-Based Velocimetry Techniques. Preprints. https://doi.org/10.20944/preprints202308.0896.v1
Chicago/Turabian Style
Winsemius, H., Willem Luxemburg and Olivier Hoes. 2023 "Towards Open Access and Open Source Software for Image-Based Velocimetry Techniques" Preprints. https://doi.org/10.20944/preprints202308.0896.v1
Abstract
River monitoring has the potential to grow substantially with present-day available affordable and locally sourced hardware. Yet river monitoring networks are still under pressure due to lack of resources, difficulties with maintenance, and rapidly changing conditions which in part may be due to climate change. We advocate that to turn around this trend, monitoring stations must rely on local people, work with locally available devices, work without contact with water and operate through openly available knowledge. River observations with camera videos have this potential. IP cameras, drones or smartphones are widely available as observation platforms. The scientific methods are well established in literature. Yet current attempts to establish scalable open-source software solutions that can be operated anywhere are lacking. In fact, currently available software is either research-oriented, more aimed at incidental observations, is restricted to single-use licenses, entirely proprietary, or restricted to operations through a third-party Software as a Service. To overcome this obstacle, we present OpenRiverCam, a free and open-source software ecosystem for river observations that can fulfill a wide variety of use cases and business cases through a well-documented and simple to use Application Programming Interface, service workflows, cloud scalability and interoperability, and options to extend to several applications within the hydrological, hydrodynamic, environmental and geospatial domains. We demonstrate its current technical abilities through three different case studies that all originate from a user perspective. We discuss the future developments to meet further requirements, which include documentation, widely available training materials and embedding in curricula, and further hardware and software developments.
Keywords
river monitoring; image-based; discharge estimation; open-source software
Subject
Environmental and Earth Sciences, Water Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
,
,
,
