Tag: University of Bonn

  • GNSS-IR aids in water-level research

    GNSS-IR aids in water-level research

    Cost-effective sensors from the University of Bonn are measuring water levels along rivers and coastlines in Africa and the Pacific region.

    Using a low-cost sensor and GNSS Interferometric Reflectometry (GNSS-IR), river water levels can be monitored around the clock. The water-level data are automatically transmitted via cellular networks to an analysis center.

    Researchers at the University of Bonn developed the method several years ago and tested it on the Lower Rhine. With support from the European Space Agency (ESA), the monitoring system is now also being used in Africa and the Asia-Pacific region.

    Researchers at the Institute of Geodesy and Geoinformation at the University of Bonn, led by Makan Karegar, have transferred water -level monitoring technology from the Rhine to Africa, Australia and the Philippines as part of ESA projects. Originally developed in the DFG Collaborative Research Center SFB 1502 (DETECT), the technology enables continuous, freely accessible monitoring of inland and coastal waters in data-poor regions worldwide.

    Active on three continents

    The technological centerpiece is the Raspberry Pi Reflector (RPR), a compact, solar-powered sensor developed at the University of Bonn. Using GNSS-IR, it measures water levels with centimeter-level accuracy.

    Only a portion of the signals emitted by the GNSS satellites is directly captured by the antenna. The rest is reflected by the water surface and reaches the receiver via this detour. When superimposed with the directly received signal, it forms specific patterns known as interference patterns. These can be used to calculate the distance from the antenna to the water surface.

    Each unit costs less than 800 euros, is powered by solar energy, and transmits data daily via mobile networks. “Modern gauge stations are prohibitively expensive, and conventional ones are highly vulnerable to flood damage,” said Makan Karegar, project manager. “These two factors together have left many countries in the global south with little to no ground-based water-level monitoring. The low-cost GNSS-IR sensor was developed precisely to address this gap.”

    CAMEO-WAGST Project

    The CAMEO-WAGST project (“Cameroon Advanced Measurements for Enhanced Observations of Water levels using Affordable GNSS-IR and Sentinel-3 & 6 Technology”) has established the first dedicated GNSS-IR network for monitoring water levels along coasts and rivers in Camroon and was funded by ESA. Between May and June 2025, researchers collaborated with Loudi Yap, director of the Research Laboratory in Geodesy at the National Institute of Cartography to install eight RPR sensors in Cameroon: two on the Sanaga River and six along the coast. “A lack of infrastructure for reliable hydrological and coastal monitoring in Cameroon has so far hindered effective flood risk management and early warning systems,” Yap said.

    This collaboration, under the umbrella of the EO Africa Research and Development Facility, is already bearing fruit, said Roelof Rietbroek, research coordinator at ESA’s EO Africa R&D Facility. “We hope this paves the way for more reliable monitoring of flood-prone regions in Africa.”

    St3TART-FO Project

    Building on this success, the follow-up project St3TART-FO also was launched in collaboration with ESA. A total of 17 RPR sensors will be installed in seven countries, including West Africa, Australia and the Philippines. “The goal is to create a freely accessible reference measurement network for calibrating satellite data,” Karegar said. For the first time, the network will provide continuous water-level data at previously unmonitored locations.

    The collaboration is based on years of scientific exchange between Africa and Europe. Partners include:

    • International Institute for Water and Environmental Engineering (2iE), Burkina Faso
    • National Institute of Cartography, Cameroon
    • Environmental Protection Authority (EPA), Ghana
    • Nigeria Hydrological Services Agency (NiHSA)
    • University of Maiduguri, Nigeria
    • Assane Seck University of Ziguinchor, Senegal
    • University of Southern Queensland, Australia
    • University of the Philippines Diliman.

    Technology Transfer and Capacity Building

    Both projects promote technology transfer and local capacity building through training, workshops and mentoring, enabling partner institutions to operate RPR networks independently. “We want to leave behind a sustainable monitoring capacity that is operated by local scientists and institutions, openly shared with the world, and maintained well into the future,” Karegar said.

    With financial support from the Transdisciplinary Research Area (TRA) “Sustainable Futures” at the University of Bonn, Karegar developed the open-access data platform gnss4surfacewater.com, which provides an independent, ground-based service for monitoring current and historical water levels using GNSS-IR. Also visit CAMEO-WAGST GitHub for code and field photos.

  • Inexpensive sensor created to monitor Rhine river levels

    Inexpensive sensor created to monitor Rhine river levels

    A team of researchers has developed a low-cost sensor that can detect the changes in river height to provide wide-area flood warnings.

    The Raspberry Pi Reflector (RPR) was designed by a team of scientists from the University of Bonn, the Federal University of Rio Grande do Sul, and the University of Colorado.

    The solar-powered RPR is much less expensive (about US$150) than scientific-grade or geodetic GNSS instruments — the cost of which is “a limiting factor for their prompt and more widespread deployment as a dedicated environmental sensor,” the team writes in their paper.

    The Raspberry Pi Reflector (RPR) prototype includes a low-cost and low-maintenance single-frequency GPS module (an Adafruit GPS FeatherWing receiver) and an unspecified GPS antenna connected to an inexpensive Raspberry Pi microcomputer. One such unit has been successfully operating since March 2020 in Wesel, Germany, next to the Rhine river.

    Photo:
    The RPR hardware array: (a) Raspberry Pi 4 Model B (b) Adafruit Feather Adalogger microcontroller (c) Adafruit GPS FeatherWing receiver (d) GPS external antenna (e) Configuration of RPR prototype setup. (Image: Karegar, et al)

    The unit on the Rhine provides sub-daily and daily water levels retrieved using spectral analysis of reflection data, or GNSS-reflectometry. The river level measurements from the RPR are compared with a co-located river gauge.

    By changing the orientation of the antenna from upright to sideways facing the river, which was done in August 2021, the root-mean-square error (RMSE) was lowered to from 7.6 cm to 3 cm (sub-daily) and 6 cm to 1.5 cm (daily), the team said.

    “While satellite radar altimetry techniques have been utilized to monitor water levels with global coverage, their measurements are associated with moderate uncertainties and temporal resolution,” the team states. “Therefore, such low-cost and high-precision instruments can be paired with satellite data for calibrating, validating and modeling purposes.”

    Information about the RPR is available on GitHub.

  • GNSS reflectometry measurements improved with COVID-19 pandemic

    GNSS reflectometry measurements improved with COVID-19 pandemic

    Parked cars near ground station decreased accuracy from 2 to 4 centimeters

    A new study shows that the quality of GNSS reflectometry measurements may have improved significantly during the pandemic because of the lack of cars parked near the ground station, according to Science Daily. GNSS reflectometry is used for earthquake early warning systems, determining flood risks, and many other geodesy applications.

    The study, carried out by geodesists from the University of Bonn, investigated the location of a precise GNSS antenna in Boston, Massachusetts.

    GNSS reflectometry works well if the surrounding ground is flat, like the surface of a mirror, study author Jürgen Kusche explained to Science Daily. “But many GNSS receivers are mounted on buildings in cities or in industrial zones. They are often surrounded by large parking lots — as is the case with the antenna we investigated in Boston.”

    The researchers show that parked cars significantly reduced the quality of the elevation data by scattering the GNSS signals, causing them to be reflected several times before they reached the antenna, like a cracked mirror. This reduces signal intensity and provides “noisy” data — hard to correct with pattern recognition because the parked cars change positions every day.

    “Before the pandemic, measurements of antenna height had an average accuracy of about 4 centimeters due to the higher level of noise,” Makan Karegar told Science Daily. “During the lockdown, however, there were almost no vehicles parked in the vicinity of the antenna; this improved the accuracy to about 2 centimeters.”

    While GNSS stations were historically installed in sparsely populated regions, recent installations have been in urban areas to support engineering and surveying work.

    “Our study recommends that we should try to avoid installation of GNSS sensors next to parking lots,” Karegar said.

    Citation. Makan A. Karegar, Jürgen Kusche. Imprints of COVID‐19 lockdown on GNSS observations: An initial demonstration using GNSS interferometric reflectometry. Geophysical Research Letters, 2020; DOI: 10.1029/2020GL089647


    Feature photo: welcomia/ iStock / Getty Images Plus / Getty Images