|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
|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
|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
|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
|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
|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
|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
|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
|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
|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, ...
|Crop Planting and Harvest Monitoring Using Synthetic Aperture Radar|
M Hosseini, S Khabbazan, J Wagner, I Becker-Reshef
|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
|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
|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
|The Importance of Surface Canopy Water on Agricultural Monitoring using SAR|
S Khabbazan, S Steele-Dunne, P Vermunt, M Vreugdenhil, J Judge
|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
|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
|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
|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
|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