Articles | Volume 6, issue 8
https://doi.org/10.5194/amt-6-2181-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-6-2181-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Aug 2013
Research article |
| 29 Aug 2013
Rainfall measurement from the opportunistic use of an Earth–space link in the Ku band
L. Barthès
Université de Versailles Saint-Quentin, UMR8190 – CNRS/INSU, LATMOS-IPSL, Laboratoire Atmosphères Milieux, Observations Spatiales, Quartier des Garennes, 11 Boulevard d'Alembert, 78280 Guyancourt, France
C. Mallet
Université de Versailles Saint-Quentin, UMR8190 – CNRS/INSU, LATMOS-IPSL, Laboratoire Atmosphères Milieux, Observations Spatiales, Quartier des Garennes, 11 Boulevard d'Alembert, 78280 Guyancourt, France
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Cited
45 citations as recorded by crossref.
- Deep Learning for Opportunistic Rain Estimation via Satellite Microwave Links G. Scognamiglio et al. https://doi.org/10.3390/s24216944
- Retrieval of Raindrop Size Distribution Using Dual-Polarized Microwave Signals from LEO Satellites: A Feasibility Study through Simulations X. Shen & D. Huang https://doi.org/10.3390/s21196389
- A hypothesis of 3D rainfall tomography using satellite signals H. Defeng et al. https://doi.org/10.1007/BF03391552
- Artificial Intelligent For Rainfall Estimation In Tropical Region : A Survey R. Mardyansyah et al. https://doi.org/10.1088/1755-1315/1105/1/012024
- Reconstruction and Nowcasting of Rainfall Field by Oblique Earth-Space Links Network: Preliminary Results from Numerical Simulation M. Xian et al. https://doi.org/10.3390/rs12213598
- Evaluation of Rainfall Estimation Derived From Commercial Interactive DVB Receivers Using Disdrometer, Rain Gauge, and Weather Radar E. Adirosi et al. https://doi.org/10.1109/TGRS.2020.3041448
- A novel quality control model of rainfall estimation with videos – A survey based on multi-surveillance cameras X. Wang et al. https://doi.org/10.1016/j.jhydrol.2021.127312
- Reconstruction of Rainfall Field Using Earth–Space Links Network: A Compressed Sensing Approach Y. Zhao et al. https://doi.org/10.3390/rs14194966
- Real-Time Rain Rate Evaluation via Satellite Downlink Signal Attenuation Measurement F. Giannetti et al. https://doi.org/10.3390/s17081864
- The Feasibility Analysis of Cellphone Signal to Detect the Rain: Experimental Study K. Song et al. https://doi.org/10.1109/LGRS.2019.2940854
- Near-infrared surveillance video-based rain gauge X. Wang et al. https://doi.org/10.1016/j.jhydrol.2023.129173
- New Calibration Formula for Radar–Rainfall Relationships Analysis A. Nikahd & M. Shabani https://doi.org/10.3103/S1068373924060049
- Rainfall Monitoring Based on Machine Learning by Earth-Space Link in the Ku Band M. Xian et al. https://doi.org/10.1109/JSTARS.2020.3004375
- Rainfall Detection and Rainfall Rate Estimation Using Microwave Attenuation M. Kim & B. Kwon https://doi.org/10.3390/atmos9080287
- An Improvement to Precipitation Inversion Model Using Oblique Earth–Space Link Based on the Melting Layer Attenuation M. Xian et al. https://doi.org/10.1109/TGRS.2020.3027465
- Rainfall Fields Monitoring Based on Satellite Microwave Down-Links and Traditional Techniques in the City of Genoa M. Colli et al. https://doi.org/10.1109/TGRS.2020.2976137
- Rainfall Classification in Genoa: Machine Learning Versus Adaptive Statistical Models Using Satellite Microwave Links C. Gianoglio et al. https://doi.org/10.1109/ACCESS.2024.3458407
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. https://doi.org/10.3390/rs15194821
- Fine-scale evaluation of rainfall from TV-sats: A new method for water monitoring and flash flood prevention F. Mercier et al. https://doi.org/10.23919/URSIRSB.2017.8113168
- Experimental Study of Detecting Rainfall Using Microwave Links: Classification of Wet and Dry Periods K. Song et al. https://doi.org/10.1109/JSTARS.2020.3021555
- An Online Training Procedure for Rain Detection Models Applied to Satellite Microwave Links C. Gianoglio et al. https://doi.org/10.1109/LGRS.2023.3328718
- A Field Assessment of a Rain Estimation System Based on Satellite-to-Earth Microwave Links M. Colli et al. https://doi.org/10.1109/TGRS.2018.2878338
- Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results F. Diba et al. https://doi.org/10.1109/ACCESS.2021.3076781
- Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales M. Graf et al. https://doi.org/10.1016/j.ejrh.2021.100883
- Statistical Study of Rainfall Inversion Using the Earth-Space Link at the Ku Band: Optimization and Validation for 1 Year of Data Y. Zhao et al. https://doi.org/10.1109/JSTARS.2021.3111336
- Rainfall retrieval with commercial microwave links in São Paulo, Brazil M. Rios Gaona et al. https://doi.org/10.5194/amt-11-4465-2018
- Attenuation Correction of X-Band Radar Reflectivity Using Adjacent Multiple Microwave Links M. Kim & B. Kwon https://doi.org/10.3390/rs12132133
- Satellite-Link Attenuation Measurement Technique for Estimating Rainfall Accumulation C. Arslan et al. https://doi.org/10.1109/TGRS.2017.2753045
- Enhanced quantitative precipitation estimation through the opportunistic use of Ku TV-SAT links via a dual-channel procedure L. Gelbart et al. https://doi.org/10.5194/amt-18-351-2025
- A Review of Technical Aspects and Challenges in Opportunistic Rainfall Estimation Using Satellite and Terrestrial Microwave Links: How wireless infrastructure can be used for rainfall monitoring R. Nebuloni et al. https://doi.org/10.1109/MGRS.2025.3573645
- An improved algorithm in unipolar weather radar calibration for rainfall estimation A. Nikahd et al. https://doi.org/10.1007/s41062-016-0006-y
- Opportunistic remote sensing of rainfall using microwave links from cellular communication networks R. Uijlenhoet et al. https://doi.org/10.1002/wat2.1289
- Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links C. Gianoglio et al. https://doi.org/10.3390/s23031202
- Research on the Method of Rainfall Field Retrieval Based on the Combination of Earth–Space Links and Horizontal Microwave Links Y. Zhao et al. https://doi.org/10.3390/rs14092220
- Applicability of the γ–R Relationship in Rainfall Measurement With Microwave Link Under Tilted Conditions: A Simulation Analysis K. Pu et al. https://doi.org/10.1109/TGRS.2023.3330575
- Rainfall observation using surveillance audio X. Wang et al. https://doi.org/10.1016/j.apacoust.2021.108478
- Integrating Atmospheric Sensing and Communications for Resource Allocation in NTNs I. Leyva-Mayorga et al. https://doi.org/10.1109/TWC.2025.3574760
- Enhanced Estimation of Rainfall From Opportunistic Microwave Satellite Signals S. Angeloni et al. https://doi.org/10.1109/TGRS.2023.3349100
- 3-D Tomographic Reconstruction of Rain Field Using Microwave Signals From LEO Satellites: Principle and Simulation Results X. Shen et al. https://doi.org/10.1109/TGRS.2019.2899391
- The NEFOCAST System for Detection and Estimation of Rainfall Fields by the Opportunistic Use of Broadcast Satellite Signals F. Giannetti et al. https://doi.org/10.1109/MAES.2019.2916292
- Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. https://doi.org/10.3390/atmos11090884
- The future of Earth observation in hydrology M. McCabe et al. https://doi.org/10.5194/hess-21-3879-2017
- Estimating Rainfall from Surveillance Audio Based on Parallel Network with Multi-Scale Fusion and Attention Mechanism M. Chen et al. https://doi.org/10.3390/rs14225750
- Opportunistic Rain Rate Estimation from Measurements of Satellite Downlink Attenuation: A Survey F. Giannetti & R. Reggiannini https://doi.org/10.3390/s21175872
- Centralized Rainfall Estimation Using Carrier to Noise of Satellite Communication Links A. Gharanjik et al. https://doi.org/10.1109/JSAC.2018.2832798
45 citations as recorded by crossref.
- Deep Learning for Opportunistic Rain Estimation via Satellite Microwave Links G. Scognamiglio et al. https://doi.org/10.3390/s24216944
- Retrieval of Raindrop Size Distribution Using Dual-Polarized Microwave Signals from LEO Satellites: A Feasibility Study through Simulations X. Shen & D. Huang https://doi.org/10.3390/s21196389
- A hypothesis of 3D rainfall tomography using satellite signals H. Defeng et al. https://doi.org/10.1007/BF03391552
- Artificial Intelligent For Rainfall Estimation In Tropical Region : A Survey R. Mardyansyah et al. https://doi.org/10.1088/1755-1315/1105/1/012024
- Reconstruction and Nowcasting of Rainfall Field by Oblique Earth-Space Links Network: Preliminary Results from Numerical Simulation M. Xian et al. https://doi.org/10.3390/rs12213598
- Evaluation of Rainfall Estimation Derived From Commercial Interactive DVB Receivers Using Disdrometer, Rain Gauge, and Weather Radar E. Adirosi et al. https://doi.org/10.1109/TGRS.2020.3041448
- A novel quality control model of rainfall estimation with videos – A survey based on multi-surveillance cameras X. Wang et al. https://doi.org/10.1016/j.jhydrol.2021.127312
- Reconstruction of Rainfall Field Using Earth–Space Links Network: A Compressed Sensing Approach Y. Zhao et al. https://doi.org/10.3390/rs14194966
- Real-Time Rain Rate Evaluation via Satellite Downlink Signal Attenuation Measurement F. Giannetti et al. https://doi.org/10.3390/s17081864
- The Feasibility Analysis of Cellphone Signal to Detect the Rain: Experimental Study K. Song et al. https://doi.org/10.1109/LGRS.2019.2940854
- Near-infrared surveillance video-based rain gauge X. Wang et al. https://doi.org/10.1016/j.jhydrol.2023.129173
- New Calibration Formula for Radar–Rainfall Relationships Analysis A. Nikahd & M. Shabani https://doi.org/10.3103/S1068373924060049
- Rainfall Monitoring Based on Machine Learning by Earth-Space Link in the Ku Band M. Xian et al. https://doi.org/10.1109/JSTARS.2020.3004375
- Rainfall Detection and Rainfall Rate Estimation Using Microwave Attenuation M. Kim & B. Kwon https://doi.org/10.3390/atmos9080287
- An Improvement to Precipitation Inversion Model Using Oblique Earth–Space Link Based on the Melting Layer Attenuation M. Xian et al. https://doi.org/10.1109/TGRS.2020.3027465
- Rainfall Fields Monitoring Based on Satellite Microwave Down-Links and Traditional Techniques in the City of Genoa M. Colli et al. https://doi.org/10.1109/TGRS.2020.2976137
- Rainfall Classification in Genoa: Machine Learning Versus Adaptive Statistical Models Using Satellite Microwave Links C. Gianoglio et al. https://doi.org/10.1109/ACCESS.2024.3458407
- Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives P. Zhang et al. https://doi.org/10.3390/rs15194821
- Fine-scale evaluation of rainfall from TV-sats: A new method for water monitoring and flash flood prevention F. Mercier et al. https://doi.org/10.23919/URSIRSB.2017.8113168
- Experimental Study of Detecting Rainfall Using Microwave Links: Classification of Wet and Dry Periods K. Song et al. https://doi.org/10.1109/JSTARS.2020.3021555
- An Online Training Procedure for Rain Detection Models Applied to Satellite Microwave Links C. Gianoglio et al. https://doi.org/10.1109/LGRS.2023.3328718
- A Field Assessment of a Rain Estimation System Based on Satellite-to-Earth Microwave Links M. Colli et al. https://doi.org/10.1109/TGRS.2018.2878338
- Wireless Telecommunication Links for Rainfall Monitoring: Deep Learning Approach and Experimental Results F. Diba et al. https://doi.org/10.1109/ACCESS.2021.3076781
- Rainfall estimates from opportunistic sensors in Germany across spatio-temporal scales M. Graf et al. https://doi.org/10.1016/j.ejrh.2021.100883
- Statistical Study of Rainfall Inversion Using the Earth-Space Link at the Ku Band: Optimization and Validation for 1 Year of Data Y. Zhao et al. https://doi.org/10.1109/JSTARS.2021.3111336
- Rainfall retrieval with commercial microwave links in São Paulo, Brazil M. Rios Gaona et al. https://doi.org/10.5194/amt-11-4465-2018
- Attenuation Correction of X-Band Radar Reflectivity Using Adjacent Multiple Microwave Links M. Kim & B. Kwon https://doi.org/10.3390/rs12132133
- Satellite-Link Attenuation Measurement Technique for Estimating Rainfall Accumulation C. Arslan et al. https://doi.org/10.1109/TGRS.2017.2753045
- Enhanced quantitative precipitation estimation through the opportunistic use of Ku TV-SAT links via a dual-channel procedure L. Gelbart et al. https://doi.org/10.5194/amt-18-351-2025
- A Review of Technical Aspects and Challenges in Opportunistic Rainfall Estimation Using Satellite and Terrestrial Microwave Links: How wireless infrastructure can be used for rainfall monitoring R. Nebuloni et al. https://doi.org/10.1109/MGRS.2025.3573645
- An improved algorithm in unipolar weather radar calibration for rainfall estimation A. Nikahd et al. https://doi.org/10.1007/s41062-016-0006-y
- Opportunistic remote sensing of rainfall using microwave links from cellular communication networks R. Uijlenhoet et al. https://doi.org/10.1002/wat2.1289
- Rain Discrimination with Machine Learning Classifiers for Opportunistic Rain Detection System Using Satellite Micro-Wave Links C. Gianoglio et al. https://doi.org/10.3390/s23031202
- Research on the Method of Rainfall Field Retrieval Based on the Combination of Earth–Space Links and Horizontal Microwave Links Y. Zhao et al. https://doi.org/10.3390/rs14092220
- Applicability of the γ–R Relationship in Rainfall Measurement With Microwave Link Under Tilted Conditions: A Simulation Analysis K. Pu et al. https://doi.org/10.1109/TGRS.2023.3330575
- Rainfall observation using surveillance audio X. Wang et al. https://doi.org/10.1016/j.apacoust.2021.108478
- Integrating Atmospheric Sensing and Communications for Resource Allocation in NTNs I. Leyva-Mayorga et al. https://doi.org/10.1109/TWC.2025.3574760
- Enhanced Estimation of Rainfall From Opportunistic Microwave Satellite Signals S. Angeloni et al. https://doi.org/10.1109/TGRS.2023.3349100
- 3-D Tomographic Reconstruction of Rain Field Using Microwave Signals From LEO Satellites: Principle and Simulation Results X. Shen et al. https://doi.org/10.1109/TGRS.2019.2899391
- The NEFOCAST System for Detection and Estimation of Rainfall Fields by the Opportunistic Use of Broadcast Satellite Signals F. Giannetti et al. https://doi.org/10.1109/MAES.2019.2916292
- Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. https://doi.org/10.3390/atmos11090884
- The future of Earth observation in hydrology M. McCabe et al. https://doi.org/10.5194/hess-21-3879-2017
- Estimating Rainfall from Surveillance Audio Based on Parallel Network with Multi-Scale Fusion and Attention Mechanism M. Chen et al. https://doi.org/10.3390/rs14225750
- Opportunistic Rain Rate Estimation from Measurements of Satellite Downlink Attenuation: A Survey F. Giannetti & R. Reggiannini https://doi.org/10.3390/s21175872
- Centralized Rainfall Estimation Using Carrier to Noise of Satellite Communication Links A. Gharanjik et al. https://doi.org/10.1109/JSAC.2018.2832798
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