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2020 – today
- 2023
[j6]Mónica Estébanez-Camarena, Riccardo Taormina, Nick van de Giesen
, Marie-claire ten Veldhuis:
The Potential of Deep Learning for Satellite Rainfall Detection over Data-Scarce Regions, the West African Savanna. Remote. Sens. 15(7): 1922 (2023)- 2022
- [j5]Andreas Krietemeyer, Hans van der Marel, Nick van de Giesen, Marie-claire ten Veldhuis:
A Field Calibration Solution to Achieve High-Grade-Level Performance for Low-Cost Dual-Frequency GNSS Receiver and Antennas. Sensors 22(6): 2267 (2022) - 2020
- [j4]Sha Lu, Marie-claire ten Veldhuis, Nick van de Giesen, Arnold W. Heemink, Martin Verlaan:
Precipitation Regime Classification Based on Cloud-Top Temperature Time Series for Spatially-Varied Parameterization of Precipitation Models. Remote. Sens. 12(2): 289 (2020) - [j3]Andreas Krietemeyer, Hans van der Marel, Nick van de Giesen, Marie-claire ten Veldhuis:
High Quality Zenith Tropospheric Delay Estimation Using a Low-Cost Dual-Frequency Receiver and Relative Antenna Calibration. Remote. Sens. 12(9): 1393 (2020)
2010 – 2019
- 2019
- [j2]Camille Le Coz, Arnold W. Heemink, Martin Verlaan, Marie-claire ten Veldhuis, Nick van de Giesen:
Correcting Position Error in Precipitation Data Using Image Morphing. Remote. Sens. 11(21): 2557 (2019) - 2018
- [j1]Andreas Krietemeyer, Marie-claire ten Veldhuis, Hans van der Marel, Eugenio Realini, Nick van de Giesen:
Potential of Cost-Efficient Single Frequency GNSS Receivers for Water Vapor Monitoring. Remote. Sens. 10(9): 1493 (2018)
Coauthor Index
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