| Crop monitoring using Sentinel-1 data: A case study from The Netherlands S Khabbazan, P Vermunt, S Steele-Dunne, L Ratering Arntz, C Marinetti, ... Remote Sensing 11 (16), 1887, 2019 | 175 | 2019 |
| The influence of surface canopy water on the relationship between L-band backscatter and biophysical variables in agricultural monitoring S Khabbazan, SC Steele-Dunne, P Vermunt, J Judge, M Vreugdenhil, ... Remote Sensing of Environment 268, 112789, 2022 | 39 | 2022 |
| Response of subdaily L-band backscatter to internal and surface canopy water dynamics PC Vermunt, S Khabbazan, SC Steele-Dunne, J Judge, ... IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7322-7337, 2020 | 31 | 2020 |
| Evaluation of Radar Backscattering Models IEM, OH, and Dubois using L and C-Bands SAR Data over different vegetation canopy covers and soil depths S Khabazan, M Motagh, M Hosseini The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2013 | 25 | 2013 |
| Extrapolating continuous vegetation water content to understand sub-daily backscatter variations PC Vermunt, SC Steele-Dunne, S Khabbazan, J Judge, ... Hydrology and Earth System Sciences 26 (5), 1223-1241, 2022 | 9* | 2022 |
| Crop monitoring using sentinel-1 data: a case study from the Netherlands. Remote Sens. 11, 1887 S Khabbazan, P Vermunt, S Steele-Dunne, LR Arntz, C Marinetti, ... | 6 | 2019 |
| Towards understanding the influence of vertical water distribution on radar backscatter from vegetation using a multi-layer water cloud model PC Vermunt, SC Steele-Dunne, S Khabbazan, V Kumar, J Judge Remote Sensing 14 (16), 3867, 2022 | 5 | 2022 |
| Monitoring Key Agricultural CROPS in the Netherlands using Sentinel-1. SC Steele-Dunne, S Khabbazan, PC Vermunt, LR Arntz, C Marinetti, ... IGARSS 2018, 6639-6642, 2018 | 4 | 2018 |
| Accuracy Assessment of IWCM Soil Moisture Estimation Model in Different Frequency and Polarization Bands S Khabazan, M Hosseini, MR Saradjian, M Motagh, R Magagi Journal of the Indian Society of Remote Sensing 43, 859-865, 2015 | 3 | 2015 |
| The importance of overpass time in agricultural applications of radar S Khabbazan, PC Vermunt, SC Steele-Dunne, J Judge 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6084 …, 2021 | 1 | 2021 |
| Effects of sub-daily internal and external canopy water fluctuations on radar backscatter P Vermunt, S Steele-Dunne, S Khabbazan, J Judge, L Guerriero EGU General Assembly Conference Abstracts, 13128, 2020 | 1 | 2020 |
| The influence of surface canopy water on L-band backscatter from corn: A study combining detailed In situ data and the Tor Vergata radiative transfer model S Khabbazan, SC Steele-Dunne, PC Vermunt, L Guerriero, J Judge Science of Remote Sensing 9, 100137, 2024 | | 2024 |
| Quantifying and modelling the effect of external and internal vegetation water dynamics on radar data S Khabbazan | | 2024 |
| Crop Planting and Harvest Monitoring Using Synthetic Aperture Radar M Hosseini, S Khabbazan, J Wagner, I Becker-Reshef AGU Fall Meeting Abstracts 2023 (891), GC11F-0891, 2023 | | 2023 |
| Bridging Data Gaps in War-Torn Ukraine: NASA Harvest's Partnership with Ukraine to Assess the War's Impact on Agricultural Production I Becker-Reshef, S Skakun, J Wagner, S Nair, Y Sadeh, MAQ Khan, ... AGU Fall Meeting Abstracts 2023 (1068), SY43D-1068, 2023 | | 2023 |
| Rapid Response Crop Planting Detection over Ukraine using Synthetic Aperture Radar M Hosseini, I Becker-Reshef, S Khabbazan, J Wagner, S Nair, Y Sadeh, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| A Rapid Assessment Framework to monitor harvest progress in Ukraine SS Nair, I Becker Reshef, J Wagner, Y Sadeh, M Hosseini, S Khabbazan, ... EGU General Assembly Conference Abstracts, EGU-16834, 2023 | | 2023 |
| Rapid Response In-Season Crop Mapping for Ukraine using PlanetScope in light of the 2022 Russian Invasion S Baber, J Wagner, I Becker-Reshef, F Li, S Nair, Y Sadeh, S Skakun, ... AGU Fall Meeting Abstracts 2022, GC32E-05, 2022 | | 2022 |
| The Importance of Surface Canopy Water on Agricultural Monitoring using SAR S Khabbazan, S Steele-Dunne, P Vermunt, M Vreugdenhil, J Judge | | 2022 |
| Hour-to-hour vegetation water dynamics captured in radar backscatter: lessons learned from experimental studies P Vermunt, S Steele-Dunne, S Khabbazan, J Judge, N van de Giesen, ... EGU General Assembly Conference Abstracts, EGU22-482, 2022 | | 2022 |
P.C. VermuntITC, Department of Water Resources, University of TwenteVerified email at utwente.nl
