Saeed Khabbazan
Saeed Khabbazan
Verified email at tudelft.nl
Title
Cited by
Cited by
Year
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
Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci 1, W3, 2013
172013
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
12019
Characterizing vegetation water content dynamics in a well-watered corn canopy in Florida through intensive destructive sampling.
P Vermunt, S Khabbazan, K Bremer, S Steele-Dunne, J Judge
Geophysical Research Abstracts 21, 2019
2019
Monitoring Key Agricultural CROPS in the Netherlands using Sentinel-1.
SC Steele-Dunne, S Khabbazan, PC Vermunt, LR Arntz, C Marinetti, ...
IGARSS, 6639-6642, 2018
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 (4), 859-865, 2015
2015
Evaluation of Various Radar Backscattering Models Using C-Band and L-band SAR Data for Soil Moisture Estimation
S Khabazan, M Motagh
The 2013 European Space Agency Living Planet Symposium, 2013
2013
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Articles 1–6