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 | 168 | 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 |
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 | 8 | 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 |
Twelve years of profile soil moisture and temperature measurements in Twente, the Netherlands R van der Velde, HJF Benninga, B Retsios, PC Vermunt, MS Salama Earth System Science Data 15 (4), 1889-1910, 2023 | 3 | 2023 |
Reconstructing Continuous Vegetation Water Content To Understand Sub-daily Backscatter Variations PC Vermunt, SC Steele-Dunne, S Khabbazan, J Judge, ... Hydrology and Earth System Sciences Discussions 2021, 1-26, 2021 | 1 | 2021 |
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 |
Testing sensors for validating microwave products of forest water status P Vermunt, R Rietbroek, C Van der Tol, Y Zeng, Z Su EGU24, 2024 | | 2024 |
A network of in situ soil moisture observations operational since 2009 P Vermunt, R Van der Velde, HJ Benninga, B Retsios, M Suhyb Salama EGU General Assembly Conference Abstracts, EGU-1850, 2023 | | 2023 |
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 |
Understanding radar backscatter sensitivity to vegetation water dynamics: Sub-daily variations in ground-based experiments PC Vermunt | | 2022 |
Reconstructing daily cycles of canopy water for the validation of (subdaily) microwave estimates P Vermunt, S Steele-Dunne, S Khabbazan, N van de Giesen, J Judge EGU General Assembly Conference Abstracts, EGU21-8065, 2021 | | 2021 |
Inferring the effects of surface canopy water on VOD estimation from L-band backscatter S Khabbazan, PC Vermunt, SC Steele Dunne, G Gao, M Vreugdenhil, ... EGU General Assembly Conference Abstracts, EGU21-6461, 2021 | | 2021 |
Reconstructing a continuous record of internal water content from sparse destructive vegetation sampling and hydrometeorological data P Vermunt, SC Steele-Dunne, N Van De Giesen, S Khabbazan AGU Fall Meeting Abstracts 2020, B090-05, 2020 | | 2020 |