Other Publications

Conference abstracts, workshop presentations and other publications from the IMPRESS Lab era (2019–present). IMPRESS Lab members are shown in bold. For the complete record, including earlier abstracts and non-English publications, please see Dr. Gurbuz’s full publication list or Google Scholar.

2025

15. UAS-Based GNSS-R, LiDAR, and Multispectral Data Fusion for Field Scale Soil Moisture Estimation
V. Senyurek, M. E. Karim, M. A. S. Rafi, J. E. Ball and A. C. Gurbuz
AGU Fall Meeting Abstracts 2025, H52B-09, December 2025

BibTeX
@misc{senyurek2025uasbased,
  author       = {V. Senyurek and M. E. Karim and M. A. S. Rafi and J. E. Ball and A. C. Gurbuz},
  title        = {UAS-Based GNSS-R, LiDAR, and Multispectral Data Fusion for Field Scale Soil Moisture Estimation},
  howpublished = {AGU Fall Meeting Abstracts 2025, H52B-09, December 2025},
  year         = {2025}
}

14. Deep Learning Based Automated Detection of Seafloor Gas Seeps: Depth-Dependent Performance and the Role of Temporal Context
S. M. Manjur, A. D. Skarke and A. C. Gurbuz
AGU Fall Meeting Abstracts 2025, OS43C-VR8073, December 2025

BibTeX
@misc{manjur2025deep,
  author       = {S. M. Manjur and A. D. Skarke and A. C. Gurbuz},
  title        = {Deep Learning Based Automated Detection of Seafloor Gas Seeps: Depth-Dependent Performance and the Role of Temporal Context},
  howpublished = {AGU Fall Meeting Abstracts 2025, OS43C-VR8073, December 2025},
  year         = {2025}
}

13. Deep Learning-Based Radio Frequency Interference Detection for SMAP Radiometry Using Semi-Synthetic Time-Frequency Representations
A. M. Alam, M. Kurum and A. C. Gurbuz
AGU Fall Meeting Abstracts 2025, H43I-VR8085, December 2025

BibTeX
@misc{alam2025deep,
  author       = {A. M. Alam and M. Kurum and A. C. Gurbuz},
  title        = {Deep Learning-Based Radio Frequency Interference Detection for SMAP Radiometry Using Semi-Synthetic Time-Frequency Representations},
  howpublished = {AGU Fall Meeting Abstracts 2025, H43I-VR8085, December 2025},
  year         = {2025}
}

12. Grid Size Optimization for Soil Moisture Estimation Using UAS-Based GNSS Reflectometry
S. B. Baray, M. M. Farhad, V. Senyurek, A. C. Gurbuz and M. Kurum
2025 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), pp. 37-37, 2025

BibTeX
@misc{baray2025grid,
  author       = {S. B. Baray and M. M. Farhad and V. Senyurek and A. C. Gurbuz and M. Kurum},
  title        = {Grid Size Optimization for Soil Moisture Estimation Using UAS-Based GNSS Reflectometry},
  howpublished = {2025 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), pp. 37-37, 2025},
  year         = {2025}
}

2024

11. Automated Detection of Seafloor Gas Seeps with an Attention-Guided Convolutional Neural Network
A. D. Skarke, A. C. Gurbuz, V. Senyurek, S. M. Manjur, R. Kalski and S. Gupta
AGU Fall Meeting Abstracts, vol. 2024, no. 573, OS43A-0573, 2024

BibTeX
@misc{skarke2024automated,
  author       = {A. D. Skarke and A. C. Gurbuz and V. Senyurek and S. M. Manjur and R. Kalski and S. Gupta},
  title        = {Automated Detection of Seafloor Gas Seeps with an Attention-Guided Convolutional Neural Network},
  howpublished = {AGU Fall Meeting Abstracts, vol. 2024, no. 573, OS43A-0573, 2024},
  year         = {2024}
}

10. A Blended CYGNSS Soil Moisture Product Partitioned with Ancillary Data
E. Hodges et al.
2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), p. 174, 2024

BibTeX
@misc{al2024a,
  author       = {E. Hodges et al.},
  title        = {A Blended CYGNSS Soil Moisture Product Partitioned with Ancillary Data},
  howpublished = {2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), p. 174, 2024},
  year         = {2024}
}

9. An Advanced Testbed for Passive/Active Coexistence Research: A Comprehensive Framework for RFI Detection, Mitigation, and Calibration
A. M. Alam, M. M. Farhad, M. Kurum and A. C. Gurbuz
2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), p. 280, 2024

BibTeX
@misc{alam2024an,
  author       = {A. M. Alam and M. M. Farhad and M. Kurum and A. C. Gurbuz},
  title        = {An Advanced Testbed for Passive/Active Coexistence Research: A Comprehensive Framework for RFI Detection, Mitigation, and Calibration},
  howpublished = {2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM), p. 280, 2024},
  year         = {2024}
}

8. 3-Year Agricultural Field Study for GNSS-R Based Soil Moisture Mapping
V. Senyurek, M. A. S. Rafi, M. M. Farhad, M. Kurum and A. C. Gurbuz
2024 AI in Agriculture and Natural Resources Conference, College Station, TX, USA, April 2024

BibTeX
@misc{senyurek20243year,
  author       = {V. Senyurek and M. A. S. Rafi and M. M. Farhad and M. Kurum and A. C. Gurbuz},
  title        = {3-Year Agricultural Field Study for GNSS-R Based Soil Moisture Mapping},
  howpublished = {2024 AI in Agriculture and Natural Resources Conference, College Station, TX, USA, April 2024},
  year         = {2024}
}

2023

7. Evaluation of Deep-Learning Approach for Quasi-Global Soil Moisture Retrieval Using CYGNSS
M. M. Nabi, V. Senyurek, F. Lei, M. Kurum and A. C. Gurbuz
IEEE GNSS+R 2023, Boulder, CO, USA

BibTeX
@misc{nabi2023evaluation,
  author       = {M. M. Nabi and V. Senyurek and F. Lei and M. Kurum and A. C. Gurbuz},
  title        = {Evaluation of Deep-Learning Approach for Quasi-Global Soil Moisture Retrieval Using CYGNSS},
  howpublished = {IEEE GNSS+R 2023, Boulder, CO, USA},
  year         = {2023}
}

6. Enabling Subfield Scale Soil Moisture Mapping in Near Real-Time by Recycling L-Band GNSS Signals from Drones
M. Kurum, M. M. Farhad, V. Senyurek and A. C. Gurbuz
European Geosciences Union, EGU23-10991, Copernicus Meetings, 2023

BibTeX
@misc{kurum2023enabling,
  author       = {M. Kurum and M. M. Farhad and V. Senyurek and A. C. Gurbuz},
  title        = {Enabling Subfield Scale Soil Moisture Mapping in Near Real-Time by Recycling L-Band GNSS Signals from Drones},
  howpublished = {European Geosciences Union, EGU23-10991, Copernicus Meetings, 2023},
  year         = {2023}
}

2022

5. Design and Implementation of a Ground Penetrating Radar (GPR) from an Unmanned Aircraft System (UAS)
M. Duck, A. C. Gurbuz and M. Kurum
Proceedings of the USNC/URSI Radio Science Meeting, Boulder, CO, USA, January 2022

BibTeX
@misc{duck2022design,
  author       = {M. Duck and A. C. Gurbuz and M. Kurum},
  title        = {Design and Implementation of a Ground Penetrating Radar (GPR) from an Unmanned Aircraft System (UAS)},
  howpublished = {Proceedings of the USNC/URSI Radio Science Meeting, Boulder, CO, USA, January 2022},
  year         = {2022}
}

4. Deep Learning Based RFI Detection and Mitigation for SMAP Using Convolutional Neural Networks
A. M. Alam, A. C. Gurbuz and M. Kurum
Radio Frequency Interference (RFI) Workshop, February 2022

BibTeX
@misc{alam2022deep,
  author       = {A. M. Alam and A. C. Gurbuz and M. Kurum},
  title        = {Deep Learning Based RFI Detection and Mitigation for SMAP Using Convolutional Neural Networks},
  howpublished = {Radio Frequency Interference (RFI) Workshop, February 2022},
  year         = {2022}
}

3. Soil Moisture Mapper: A GNSS-R Approach for Soil Moisture Retrieval on UAV
V. Senyurek, M. M. Farhad, A. C. Gurbuz, M. Kurum and R. Moorhead
AI for Agriculture and Food Systems 2022 Workshop, March 2022

BibTeX
@misc{senyurek2022soil,
  author       = {V. Senyurek and M. M. Farhad and A. C. Gurbuz and M. Kurum and R. Moorhead},
  title        = {Soil Moisture Mapper: A GNSS-R Approach for Soil Moisture Retrieval on UAV},
  howpublished = {AI for Agriculture and Food Systems 2022 Workshop, March 2022},
  year         = {2022}
}

2019

2. Relating CYGNSS Observations to Soil Moisture Variations During the 2018 Hurricane Season
O. Eroglu, D. R. Boyd, A. C. Gurbuz and M. Kurum
Proceedings of the USNC/URSI Radio Science Meeting, Boulder, CO, USA, January 2019

BibTeX
@misc{eroglu2019relating,
  author       = {O. Eroglu and D. R. Boyd and A. C. Gurbuz and M. Kurum},
  title        = {Relating CYGNSS Observations to Soil Moisture Variations During the 2018 Hurricane Season},
  howpublished = {Proceedings of the USNC/URSI Radio Science Meeting, Boulder, CO, USA, January 2019},
  year         = {2019}
}

1. Investigation of Root-Zone Soil Moisture Profile Sensitivity to Multiple Signal of Opportunity Sources
D. R. Boyd, M. Kurum, O. Eroglu, A. C. Gurbuz, J. L. Garrison, B. Nold, J. R. Piepmeier, M. A. Vega and R. Bindlish
Proceedings of the USNC/URSI Radio Science Meeting, Boulder, CO, USA, January 2019

BibTeX
@misc{boyd2019investigation,
  author       = {D. R. Boyd and M. Kurum and O. Eroglu and A. C. Gurbuz and J. L. Garrison and B. Nold and J. R. Piepmeier and M. A. Vega and R. Bindlish},
  title        = {Investigation of Root-Zone Soil Moisture Profile Sensitivity to Multiple Signal of Opportunity Sources},
  howpublished = {Proceedings of the USNC/URSI Radio Science Meeting, Boulder, CO, USA, January 2019},
  year         = {2019}
}

Full publication record: alicafergurbuz.org/publications  ·  Google Scholar