| SoilGrids250m: Global gridded soil information based on machine learning T Hengl, J Mendes de Jesus, GBM Heuvelink, M Ruiperez Gonzalez, ... PLoS one 12 (2), e0169748, 2017 | 3193 | 2017 |
| Sensitivity of Sentinel-1 backscatter to vegetation dynamics: An Austrian case study M Vreugdenhil, W Wagner, B Bauer-Marschallinger, I Pfeil, I Teubner, ... Remote Sensing 10 (9), 1396, 2018 | 316 | 2018 |
| Toward global soil moisture monitoring with Sentinel-1: Harnessing assets and overcoming obstacles B Bauer-Marschallinger, V Freeman, S Cao, C Paulik, S Schaufler, ... IEEE Transactions on Geoscience and Remote Sensing 57 (1), 520-539, 2018 | 311 | 2018 |
| Soil moisture from fusion of scatterometer and SAR: Closing the scale gap with temporal filtering B Bauer-Marschallinger, C Paulik, S Hochstöger, T Mistelbauer, ... Remote Sensing 10 (7), 1030, 2018 | 112 | 2018 |
| Optimisation of global grids for high-resolution remote sensing data B Bauer-Marschallinger, D Sabel, W Wagner Computers & Geosciences 72, 84-93, 2014 | 90 | 2014 |
| Assimilation of Sentinel 1 and SMAP–based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution … S Azimi, AB Dariane, S Modanesi, B Bauer-Marschallinger, R Bindlish, ... Journal of hydrology 581, 124367, 2020 | 64 | 2020 |
| How oceanic oscillation drives soil moisture variations over mainland Australia: An analysis of 32 years of satellite observations B Bauer-Marschallinger, WA Dorigo, W Wagner, AIJM Van Dijk Journal of Climate 26 (24), 10159-10173, 2013 | 57 | 2013 |
| Sentinel-1 cross ratio and vegetation optical depth: A comparison over Europe M Vreugdenhil, C Navacchi, B Bauer-Marschallinger, S Hahn, ... Remote Sensing 12 (20), 3404, 2020 | 48 | 2020 |
| The normalised Sentinel-1 Global Backscatter Model, mapping Earth’s land surface with C-band microwaves B Bauer-Marschallinger, S Cao, C Navacchi, V Freeman, F Reuß, ... Scientific Data 8 (1), 1-18, 2021 | 43 | 2021 |
| Detection and quantification of irrigation water amounts at 500 m using sentinel-1 surface soil moisture L Zappa, S Schlaffer, B Bauer-Marschallinger, C Nendel, B Zimmerman, ... Remote Sensing 13 (9), 1727, 2021 | 37 | 2021 |
| Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube B Bauer-Marschallinger, S Cao, ME Tupas, F Roth, C Navacchi, T Melzer, ... Remote Sensing 14 (15), 3673, 2022 | 34 | 2022 |
| The new, systematic global flood monitoring product of the copernicus emergency management service P Salamon, N Mctlormick, C Reimer, T Clarke, B Bauer-Marschallinger, ... 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1053 …, 2021 | 31 | 2021 |
| Assessing vegetation dynamics over mainland Australia with Metop ASCAT M Vreugdenhil, S Hahn, T Melzer, B Bauer-Marschallinger, C Reimer, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 31 | 2017 |
| Seven years of advanced synthetic aperture radar (ASAR) global monitoring (GM) of surface soil moisture over Africa A Dostálová, M Doubková, D Sabel, B Bauer-Marschallinger, W Wagner Remote Sensing 6 (8), 7683-7707, 2014 | 31 | 2014 |
| Widespread occurrence of anomalous C-band backscatter signals in arid environments caused by subsurface scattering W Wagner, R Lindorfer, T Melzer, S Hahn, B Bauer-Marschallinger, ... Remote Sensing of Environment 276, 113025, 2022 | 30 | 2022 |
| A Sentinel-1 backscatter datacube for global land monitoring applications W Wagner, B Bauer-Marschallinger, C Navacchi, F Reuß, S Cao, ... Remote Sensing 13 (22), 4622, 2021 | 25 | 2021 |
| Modelling and correcting azimuthal anisotropy in Sentinel-1 backscatter data S Schaufler, B Bauer-Marschallinger, S Hochstöger, W Wagner Remote sensing letters 9 (8), 799-808, 2018 | 24 | 2018 |
| Geophysical parameters retrieval from sentinel-1 SAR data: a case study for high performance computing at EODC V Naeimi, S Elefante, S Cao, W Wagner, A Dostalova, ... Proceedings of the 24th High Performance Computing Symposium, 1-8, 2016 | 24 | 2016 |
| Sentinel-1 data cube exploitation: Tools, products, services and quality control I Ali, V Naeimi, S Cao, S Elefante, B Bauer-Marschallinger, W Wagner Proc. Big Data Space, 40-43, 2017 | 17 | 2017 |
| Data processing architectures for monitoring floods using Sentinel-1 W Wagner, V Freeman, S Cao, P Matgen, M Chini, P Salamon, ... ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 16 | 2020 |
Wolfgang WagnerProfessor for Remote Sensing, TU Wien在 geo.tuwien.ac.at 的电子邮件经过验证
