Susan Steele-Dunne
Susan Steele-Dunne
Professor, Department of Geoscience and Remote Sensing, TU Delft
Verified email at - Homepage
Cited by
Cited by
Origin and fate of atmospheric moisture over continents
RJ Van der Ent, HHG Savenije, B Schaefli, SC Steele‐Dunne
Water Resources Research 46 (9), 2010
Land data assimilation and estimation of soil moisture using measurements from the Southern Great Plains 1997 Field Experiment
SA Margulis, D McLaughlin, D Entekhabi, S Dunne
Water resources research 38 (12), 1299, 2002
Radar Remote Sensing of Agricultural Canopies: A Review
SC Steele-Dunne, H McNairn, A Monsivais-Huertero, J Judge, PW Liu, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Global GRACE data assimilation for groundwater and drought monitoring: Advances and challenges
B Li, M Rodell, S Kumar, HK Beaudoing, A Getirana, BF Zaitchik, ...
Water Resources Research, 2019
The impacts of climate change on hydrology in Ireland
S Steele-Dunne, P Lynch, R McGrath, T Semmler, S Wang, J Hanafin, ...
Journal of hydrology 356 (1-2), 28-45, 2008
Double-ended calibration of fiber-optic Raman spectra distributed temperature sensing data
N Van de Giesen, SC Steele-Dunne, J Jansen, O Hoes, MB Hausner, ...
Sensors 12 (5), 5471-5485, 2012
Feasibility of soil moisture estimation using passive distributed temperature sensing.
SC Steele-Dunne, MM Rutten, DM Krzeminska, M Hausner, SW Tyler, ...
Water Resources Research 46 (3), 2010
Macro to micro: microwave remote sensing of plant water content for physiology and ecology
AG Konings, K Rao, SC Steele‐Dunne
New Phytologist 223 (3), 1166-1172, 2019
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
An ensemble-based reanalysis approach to land data assimilation
S Dunne, D Entekhabi
Water Resour. Res 41 (2), W02013, 2005
Soil hydrology in the Earth system
H Vereecken, W Amelung, SL Bauke, H Bogena, N Brüggemann, ...
Nature Reviews Earth & Environment 3 (9), 573-587, 2022
Detecting forest response to droughts with global observations of vegetation water content
AG Konings, SS Saatchi, C Frankenberg, M Keller, V Leshyk, ...
Global Change Biology 27 (23), 6005-6024, 2021
Land surface state and flux estimation using the ensemble Kalman smoother during the Southern Great Plains 1997 field experiment
S Dunne, D Entekhabi
Water Resour. Res 42 (1), W01407, 2006
Impact of diurnal variation in vegetation water content on radar backscatter from maize during water stress
T van Emmerik, SC Steele-Dunne, J Judge, N van de Giesen
IEEE Transactions on Geoscience and Remote Sensing 53 (7), 3855-3869, 2015
Data assimilation of GRACE terrestrial water storage estimates into a regional hydrological model of the Rhine River basin
N Tangdamrongsub, SC Steele-Dunne, BC Gunter, PG Ditmar, AH Weerts
Hydrology and Earth System Sciences 19 (4), 2079-2100, 2015
Ireland in a warmer world: scientific predictions of the Irish climate in the twenty-first century
R McGrath, P Lynch, S Dunne, J Hanafin, E Nishimura, P Nolan, ...
Met Éireann, 2008
Using diurnal variation in backscatter to detect vegetation water stress
SC Steele-Dunne, J Friesen, N Van De Giesen
IEEE Transactions on Geoscience and Remote Sensing 50 (7), 2618-2629, 2012
The soil moisture active passive Marena, Oklahoma, in situ sensor testbed (smap‐moisst): Testbed design and evaluation of in situ sensors
MH Cosh, TE Ochsner, L McKee, J Dong, JB Basara, SR Evett, CE Hatch, ...
Vadose Zone Journal 15 (4), 1-11, 2016
Assessing total water storage and identifying flood events over Tonlé Sap basin in Cambodia using GRACE and MODIS satellite observations combined with hydrological models
N Tangdamrongsub, PG Ditmar, SC Steele-Dunne, BC Gunter, ...
Remote Sensing of Environment 181, 162-173, 2016
Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model
N Tangdamrongsub, SC Steele-Dunne, BC Gunter, PG Ditmar, ...
Hydrol. Earth Syst. Sci. 21, 2053-2074, 2017
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