Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor

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Standard

Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor. / Alimenti, Federico; Bonafoni, Stefania; Gallo, Elisa; Palazzi, Valentina; Gatti, Roberto Vencenti; Mezzanotte, Paolo; Roselli, Luca; Zito, Domenico; Barbetta, Silvia; Corradini, Christiano; Termini, Donnatella; Moramarco, Tommaso.

I: IEEE Transactions on Geoscience and Remote Sensing, Bind 58, Nr. 7, 07.2020, s. 5195-5207.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

Alimenti, F, Bonafoni, S, Gallo, E, Palazzi, V, Gatti, RV, Mezzanotte, P, Roselli, L, Zito, D, Barbetta, S, Corradini, C, Termini, D & Moramarco, T 2020, 'Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor', IEEE Transactions on Geoscience and Remote Sensing, bind 58, nr. 7, s. 5195-5207. https://doi.org/10.1109/TGRS.2020.2974185

APA

Alimenti, F., Bonafoni, S., Gallo, E., Palazzi, V., Gatti, R. V., Mezzanotte, P., Roselli, L., Zito, D., Barbetta, S., Corradini, C., Termini, D., & Moramarco, T. (2020). Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor. IEEE Transactions on Geoscience and Remote Sensing, 58(7), 5195-5207. https://doi.org/10.1109/TGRS.2020.2974185

CBE

Alimenti F, Bonafoni S, Gallo E, Palazzi V, Gatti RV, Mezzanotte P, Roselli L, Zito D, Barbetta S, Corradini C, Termini D, Moramarco T. 2020. Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor. IEEE Transactions on Geoscience and Remote Sensing. 58(7):5195-5207. https://doi.org/10.1109/TGRS.2020.2974185

MLA

Alimenti, Federico o.a.. "Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor". IEEE Transactions on Geoscience and Remote Sensing. 2020, 58(7). 5195-5207. https://doi.org/10.1109/TGRS.2020.2974185

Vancouver

Alimenti F, Bonafoni S, Gallo E, Palazzi V, Gatti RV, Mezzanotte P o.a. Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor. IEEE Transactions on Geoscience and Remote Sensing. 2020 jul;58(7):5195-5207. https://doi.org/10.1109/TGRS.2020.2974185

Author

Alimenti, Federico ; Bonafoni, Stefania ; Gallo, Elisa ; Palazzi, Valentina ; Gatti, Roberto Vencenti ; Mezzanotte, Paolo ; Roselli, Luca ; Zito, Domenico ; Barbetta, Silvia ; Corradini, Christiano ; Termini, Donnatella ; Moramarco, Tommaso. / Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor. I: IEEE Transactions on Geoscience and Remote Sensing. 2020 ; Bind 58, Nr. 7. s. 5195-5207.

Bibtex

@article{c5edb776839e4299882a2a1b40ee8884,
title = "Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor",
abstract = "River discharge is an important variable to measure in order to predict droughts and flood occurrences. Once the cross-sectional geometry of the river is known, discharge can be inferred from water level and surface flow velocity measurements. Since river discharges are of particular interest during extreme weather events, when river sites cannot be safely accessed, noncontact sensing technologies are particularly appealing. To this purpose, this work proposes a prototype of a low-cost continuous wave (CW) Doppler radar sensor, which is able to monitor the surface flow velocity of rivers. The prototype is tested at two gauged sites in central Italy, along the Tiber River. The surface flow velocity distribution across the river is monitored by means of the analysis of received Doppler signal. The surface velocity statistics are then extracted using a novel algorithm that is optimized to run on a microprocessor platform with minimal computing power (ArduinoUNO). In particular, the radar measurements are used to initialize a 2-D entropy-based velocity model (EVM) that is able to estimate river discharges in any flow condition. Finally, the results concerning the observed discharge provided by the EVM prove to be comparable with those obtained with more expensive commercial solutions. The results are important since the described methodology can be extended to small-size Doppler radar sensors onboard unmanned aerial vehicles (UAVs), the latter providing a method for mapping surface velocity of rivers.",
keywords = "Discharge estimation, Doppler centroid estimation, low-cost Doppler radar sensors, river hydraulics, surface velocity radars (SVRs)",
author = "Federico Alimenti and Stefania Bonafoni and Elisa Gallo and Valentina Palazzi and Gatti, {Roberto Vencenti} and Paolo Mezzanotte and Luca Roselli and Domenico Zito and Silvia Barbetta and Christiano Corradini and Donnatella Termini and Tommaso Moramarco",
year = "2020",
month = jul,
doi = "10.1109/TGRS.2020.2974185",
language = "English",
volume = "58",
pages = "5195--5207",
journal = "I E E E Transactions on Geoscience and Remote Sensing",
issn = "0196-2892",
publisher = "Institute of Electrical and Electronics Engineers",
number = "7",

}

RIS

TY - JOUR

T1 - Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor

AU - Alimenti, Federico

AU - Bonafoni, Stefania

AU - Gallo, Elisa

AU - Palazzi, Valentina

AU - Gatti, Roberto Vencenti

AU - Mezzanotte, Paolo

AU - Roselli, Luca

AU - Zito, Domenico

AU - Barbetta, Silvia

AU - Corradini, Christiano

AU - Termini, Donnatella

AU - Moramarco, Tommaso

PY - 2020/7

Y1 - 2020/7

N2 - River discharge is an important variable to measure in order to predict droughts and flood occurrences. Once the cross-sectional geometry of the river is known, discharge can be inferred from water level and surface flow velocity measurements. Since river discharges are of particular interest during extreme weather events, when river sites cannot be safely accessed, noncontact sensing technologies are particularly appealing. To this purpose, this work proposes a prototype of a low-cost continuous wave (CW) Doppler radar sensor, which is able to monitor the surface flow velocity of rivers. The prototype is tested at two gauged sites in central Italy, along the Tiber River. The surface flow velocity distribution across the river is monitored by means of the analysis of received Doppler signal. The surface velocity statistics are then extracted using a novel algorithm that is optimized to run on a microprocessor platform with minimal computing power (ArduinoUNO). In particular, the radar measurements are used to initialize a 2-D entropy-based velocity model (EVM) that is able to estimate river discharges in any flow condition. Finally, the results concerning the observed discharge provided by the EVM prove to be comparable with those obtained with more expensive commercial solutions. The results are important since the described methodology can be extended to small-size Doppler radar sensors onboard unmanned aerial vehicles (UAVs), the latter providing a method for mapping surface velocity of rivers.

AB - River discharge is an important variable to measure in order to predict droughts and flood occurrences. Once the cross-sectional geometry of the river is known, discharge can be inferred from water level and surface flow velocity measurements. Since river discharges are of particular interest during extreme weather events, when river sites cannot be safely accessed, noncontact sensing technologies are particularly appealing. To this purpose, this work proposes a prototype of a low-cost continuous wave (CW) Doppler radar sensor, which is able to monitor the surface flow velocity of rivers. The prototype is tested at two gauged sites in central Italy, along the Tiber River. The surface flow velocity distribution across the river is monitored by means of the analysis of received Doppler signal. The surface velocity statistics are then extracted using a novel algorithm that is optimized to run on a microprocessor platform with minimal computing power (ArduinoUNO). In particular, the radar measurements are used to initialize a 2-D entropy-based velocity model (EVM) that is able to estimate river discharges in any flow condition. Finally, the results concerning the observed discharge provided by the EVM prove to be comparable with those obtained with more expensive commercial solutions. The results are important since the described methodology can be extended to small-size Doppler radar sensors onboard unmanned aerial vehicles (UAVs), the latter providing a method for mapping surface velocity of rivers.

KW - Discharge estimation

KW - Doppler centroid estimation

KW - low-cost Doppler radar sensors

KW - river hydraulics

KW - surface velocity radars (SVRs)

U2 - 10.1109/TGRS.2020.2974185

DO - 10.1109/TGRS.2020.2974185

M3 - Journal article

VL - 58

SP - 5195

EP - 5207

JO - I E E E Transactions on Geoscience and Remote Sensing

JF - I E E E Transactions on Geoscience and Remote Sensing

SN - 0196-2892

IS - 7

ER -