PeerReviewedPublications

We aim to make the best satellite products in the world. We have a willingness to take a stand on common remote sensing practices, business or academic. Below you’ll find VanderSat’s contribution to scientific understanding of our planet.

2021

 

  1. van Dijk, D., Shoaie, S., van Leeuwen, T., & Veraverbeke, S. (2021). Spectral signature analysis of false positive burned area detection from agricultural harvests using Sentinel-2 data. International Journal of Applied Earth Observation and Geoinformation, 97, 102296.

2020

  1. Aragon, B., K. Johansen, S. Parkes, Y. Malbéteau, S. Al-Mashharawi, T. Al-Amoudi, C.F. Andrade, D. Turner, A. Lucieer and M.F. McCabe (2020) A Calibration Procedure for Field and UAV-Based Uncooled Thermal Infrared Instruments, Sensor, 20, 3316 doi.org/10.3390/s20113316
  2. Bouaziz, L. J., Steele‐Dunne, S. C., Schellekens, J., Weerts, A. H., Stam, J., Sprokkereef, E., … & Hrachowitz, M. (2020). Improved understanding of the link between catchment‐scale vegetation accessible storage and satellite‐derived Soil Water Index. Water Resources Research, 56(3), e2019WR026365.
  3.  den Besten, N. I., Kassing, R. C., Muchang, E., Earnshaw, C., de Jeu, R. A. M., Karimi, P., & van der Zaag, P. (2020). A novel approach to the use of earth observation to estimate daily evaporation in a sugarcane plantation in Xinavane, Mozambique. Physics and Chemistry of the Earth, Parts A/B/C, 102940.
  4. Gruber, Alexander, Gabrielle De Lannoy, Clément Albergel, Amen Al-Yaari, Luca Brocca, J-C. Calvet, Andreas Colliander et al. “Validation practices for satellite soil moisture retrievals: What are (the) errors?.” Remote Sensing of Environment 244 (2020): 111806.
  5. Johansen K., M. J. L. Morton, Y. Malbéteau, B. Aragon, S. Al-Mashharawi, M. Ziliani, Y. Angel, G. Fiene, S. Negrao, M.A. Mousa, M.A. Tester and M. F. McCabe (2020) Predicting Biomass and Yield in a Tomato Phenotyping Experiment using UAV Imagery and Machine Learning, Frontiers in AI, AI in Food, Agriculture and Water doi.org/10.3389/frai.2020.00028
  6. Kumar, S. V., Holmes, T. R., Bindlish, R., Jeu, R. D., & Peters-Lidard, C. (2020). Assimilation of vegetation optical depth retrievals from passive microwave radiometry. Hydrology and Earth System Sciences, 24(7), 3431-3450.
  7. Lopez O., K. Johansen, B. Aragon, T. Li, R. Houborg, Y. Malbéteau, S. Al Mashhawari, I. Hoteit and M.F. McCabe (2020) Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling and a satellite-model fusion approach, Hydrol. Earth Syst. Sci. Discuss., doi.org/10.5194/hess-2020-50
  8. Moesinger, L., Dorigo, W., de Jeu, R., van der Schalie, R., Scanlon, T., Teubner, I., & Forkel, M. (2020). The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA). Earth System Science Data, 12(1), 177-196.
  9. Preimesberger, W., A. Pasik, R. van der Schalie, T. Scanlon, R. van der Schalie, R. Kidd, R. A. M. de Jeu, and W. A. Dorigo (2020): Soil Moisture [in “State of the Climate in 2019”]. Bull. Amer. Meteor. Soc., 101 (8), S56–S57, doi:10.1175/BAMS-D-20-0104.1
  10. Tmušić, G., Manfreda, S., Aasen, H., James, M.R., Gonçalves, G., Ben-Dor, E.;, Brook, A.,Polinova, M., Arranz, J.J., Mészáros, J., Zhuang, R., Johansen, K., Y. Malbéteau, de Lima, I.P., Davids, C., Herban, S., McCabe, M.F. (2020) Current Practices in UAS-based Environmental Monitoring. Remote Sensing, 12, 1001. doi.org/10.3390/rs12061001
  11. Ye, N., Walker, J. P., Wu, X., de Jeu, R., Gao, Y., Jackson, T. J., … & Renzullo, L. J. (2020). The Soil Moisture Active Passive Experiments: Validation of the SMAP Products in Australia. IEEE Transactions on Geoscience and Remote Sensing.
  12. van der Vliet, Mendy; van der Schalie, Robin; Rodriguez-Fernandez, Nemesio; Colliander, Andreas; de Jeu, Richard; Preimesberger, Wolfgang; Scanlon, Tracy; Dorigo, Wouter; Reconciling Flagging Strategies for Multi-Sensor Satellite Soil Moisture Climate Data Records. Remote Sensing. 12(20), 3439
  13. Montzka, Carsten; Cosh, Michael H; Bayat, Bagher; Al Bitar, Ahmad; Berg, Aaron; Bindlish, Rajat; Reemt Bogena, Heye; Bolten, John D; Cabot, Francois; Caldwell, Todd; Soil Moisture Product Validation Good Practices Protocol. NASA, Land Product Validation Subgroup (WGCV/CEOS)

 2019

  1. 1. Angel Y., D. Turner, S. Parkes,  Y. Malbéteau, A. Lucieer and M.F. McCabe (2019) Automated Georectification and Mosaicking of UAV-Based Hyperspectral Imagery from Push-Broom Sensors,  Remote Sensing doi.org/10.3390/rs12010034
  2. Johansen K.,  M. Morton,  Y. Malbéteau,  B. Aragon,  S. Al-Mashharawi,  M. Ziliani, Y. Angel,  G. Fiene,  S.  Negrão,  M. Mousa,  M. Tester and  M.F. McCabe (2019) Unmanned Aerial Vehicle-based Phenotyping using Morphometric and Spectral Analysis can Quantify Responses of Wild Tomato Plants to Salinity Stress, Frontiers in Plant Science, Technical Advances in Plant Science  doi: 10.3389/fpls.2019.00370
  3. Nadja den Besten, Jaap Schellekens, Richard De Jeu, and Pieter Van der Zaag “The influence of shallow groundwater on the actual transpiration flux of irrigated fields using satellite observations”, Proc. SPIE 11149, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, 111490N (21 October 2019); https://doi.org/10.1117/12.2532930
  4. Moesinger, L., Dorigo, W., de Jeu, R., van der Schalie, R., Scanlon, T., Teubner, I., & Forkel, M. (2019) The Global Long-term Microwave Vegetation Optical Depth Climate Archive VODCA. Earth Syst.Sci.Data Discussion, https://doi.org/10.5194/essd-2019-42
  5. Scanlon T., R. van der Schalie, W. Preimesberger, C. Reimer, S. Hahn, A. Gruber, R. Kidd, R. A. M. de Jeu, and W. A. Dorigo (2019): Soil Moisture [in “State of the Climate in 2018”]. Bull. Amer. Meteor. Soc., 100 (9), S38–S39, doi:10.1175/2019BAMSStateoftheClimate
  6. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., & Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology. Earth System Science Data, 1-37.
  7. Quets, J., De Lannoy, G. J., Al Yaari, A., Chan, S., Cosh, M. H., Gruber, A., … & Wigneron, J. P. (2019). Uncertainty in soil moisture retrievals: An ensemble approach using SMOS L-band microwave data. Remote sensing of environment, 229, 133-147.
  8. Teubner, I. E., Forkel, M., Camps-Valls, G., Jung, M., Miralles, D. G., Tramontana, G., … & Dorigo, W. A. (2019). A carbon sink-driven approach to estimate gross primary production from microwave satellite observations. Remote Sensing of Environment, 229, 100-113.
  9. C. Tolomei, S. Salvi, A.T. Yuherdha, G. Prinsen, G. Pezzo, J. Beckers, S. Atzori (2019) Multi-Temporal and Multi-Sensor InSAR Results to Support Geohazard Assessment in the Bandung Area,(Western Java, Indonesia). IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium

2018

  1. Amazirh A., O. Merlin, S. Er-Raki, Q. Gao, V. Rivalland, Y. Malbéteau, S. Khabba, M.J. Escorihuela (2018) Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: a study case over bare soil, Remote Sensing of Environment, volume 211, pages 321–337; doi.org/10.1016/j.rse.2018.04
  2. Bouaziz, L., Weerts, A., Schellekens, J., Sprokkereef, E., Stam, J., Savenije, H., Hrachowitz, M., 2018. Redressing the balance: quantifying net intercatchment groundwater flows. Hydrology and Earth System Sciences 22, 6415–6434.
  3. Gevaert, A. I., Renzullo, L. J., Van Dijk, A. I., Woerd, H. J., Weerts, A. H., & De Jeu, R. A. (2018). Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation. Hydrology and Earth System Sciences, 22(9), 4605-4619.
  4. Gevaert, A. I., Miralles, D. G., de Jeu, R. A. M., Schellekens, J., & Dolman, A. J. (2018). Soil Moisture-Temperature Coupling in a Set of Land Surface Models. Journal of Geophysical Research: Atmospheres, 123(3), 1481-1498. https://doi.org/10.1002/2017JD027346
  5. Malbéteau Y., S. Parkes B. Aragon, J. Rosas and M. McCabe (2018) Capturing the Diurnal Cycle of Land Surface Temperature Using an Unmanned Aerial Vehicle, Remote Sensing, 10(9), 1407, doi:10.3390/rs10091407
  6. Van der Schalie, R., de Jeu, R., Parinussa, R., Rodríguez-Fernández, N., Kerr, Y., Al-Yaari, A., … & Drusch, M. (2018). The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors. Remote Sensing, 10(1), 107.
  7. Van Dijk, A.I., Schellekens, J., Yebra, M., Beck, H.E., Renzullo, L.J., Weerts, A., Donchyts, G., 2018. Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation. Hydrology and Earth System Sciences 22, 4959–4980.
  8. Liu, Y. Y., van Dijk, A. I., Miralles, D. G., McCabe, M. F., Evans, J. P., de Jeu, R. A., … & Guan, K. (2018). Enhanced canopy growth precedes senescence in 2005 and 2010 Amazonian droughts. Remote Sensing of Environment, 211, 26-37.
  9. López López, P., Immerzeel, W.W., Rodríguez Sandoval, E.A., Sterk, G., Schellekens, J., 2018. Spatial downscaling of satellite-based precipitation and its impact on discharge simulations in the Magdalena River basin in Colombia. Frontiers in Earth Science 6.
  10. Martens, B., de Jeu, R., Verhoest, N., Schuurmans, H., Kleijer, J., & Miralles, D. (2018). Towards Estimating Land Evaporation at Field Scales Using GLEAM. Remote Sensing, 10(11), 1720
  11. Abernethy, R., Ackerman, S. A., Adler, R., Albanil Encarnación, A., Aldeco, L. S., Alfaro, E. J., … de Jeu, R.A.M., … & Amador, J. A. (2018). State of the climate in 2017. Bulletin of the American Meteorological Society, 99(8 Special Supplement), Si-S310.
  12.  Giardino, A., Schrijvershof, R., Nederhoff, C.M., de Vroeg, H., Brière, C., Tonnon, P.-K., Caires, S., Walstra, D.J., Sosa, J., van Verseveld, W., Schellekens, J., Sloff, C.J., 2018. A quantitative assessment of human interventions and climate change on the West African sediment budget. Ocean & Coastal Management, SI: MSforCEP 156, 249–265. https://doi.org/10.1016/j.ocecoaman.2017.11.008
  13. van der Horst, T., Rutten, M. M., van de Giesen, N. C., & Hanssen, R. F. (2018). Monitoring land subsidence in Yangon, Myanmar using Sentinel-1 persistent scatterer interferometry and assessment of driving mechanisms. Remote Sensing of Environment, 217, 101-110. https://doi.org/10.1016/j.rse.2018.08.004
  14. Teubner, Irene E; Forkel, Matthias; Jung, Martin; Liu, Yi Y; Miralles, Diego G; Parinussa, Robert; Van der Schalie, Robin; Vreugdenhil, Mariette; Schwalm, Christopher R; Tramontana, Gianluca; Assessing the relationship between microwave vegetation optical depth and gross primary production. International journal of applied earth observation and geoinformation 65, 79-91
  15. Abernethy, R; Ackerman, Steven A; Adler, Robert; Albanil Encarnación, Adelina; Aldeco, Laura S; Alfaro, Eric J; Aliaga-Nestares, Vannia; Allan, Richard P; Allan, Rob; Alves, Lincoln M; State of the climate in 2017, Bulletin of the American Meteorological Society 99 (8), Si-S310

2017

  1. Aaron-Morrison, A. P., Ackerman, S. A., Adams, N. G., Adler, R. F., Albanil, A., Alfaro, E. J., …de Jeu, R.A.M., … & Arendt, A. (2017). State of the climate in 2016. Bulletin of the American Meteorological Society, 98(8), Si-S280.
  2. Beck, H.E., van Dijk, A.I.J.M., Levizzani, V., Schellekens, J., Miralles, D.G., Martens, B., de Roo, A., 2017. MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data. Hydrol. Earth Syst. Sci. 21, 589–615. https://doi.org/10.5194/hess-21-589-2017
  3. Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., … de Jeu R.A.M., … & Haas, E. (2017). ESA CCI Soil Moisture for improved Earth system understanding: state-of-the art and future directions. Remote Sensing of Environment, 203, 185-215.
  4. De Jeu, R.A.M. & de Nijs, A (2017). Evaluation of high resolution satellite soil moisture products using a dense network of groundwater level observations,Stromingen, 28 (2)
  5. Lauer, A., Eyring, V., Righi, M., Buchwitz, M., Defourny, P., Evaldsson, M., … de Jeu R.A.M., … & Merchant, C. J. (2017). Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment.
  6. López López, P., Sutanudjaja, E.H., Schellekens, J., Sterk, G., Bierkens, M.F.P., 2017. Calibration of a large-scale hydrological model using satellite-based soil moisture and evapotranspiration products. Hydrol. Earth Syst. Sci. 21, 3125–3144. https://doi.org/10.5194/hess-21-3125-2017
  7. Malbéteau Y., O. Merlin, G. Balsamo, S. Er-Raki, S. Khabba, J.P. Walker, L. Jarlan (2017) Towards a surface soil moisture product at high spatio-temporal resolution: temporally-interpolated spatially-disaggregated SMOS data, Journal of Hydrometeorology, volume 19, no 1, doi.org/10.1175/JHM-D-16-0280.1
  8. Malbéteau Y., O. Merlin, S. Gascoin, J. P. Gastellu, L. Olivera, C. Mattar, S. Khabba, L Jarlan, (2017) Normalizing land surface temperature data for elevation and illumination effects in mountainous areas: a case study using ASTER data over the Imlil valley, Morocco, Remote Sensing of Environment, volume 189, pages. 25-39; doi: 10.1016/j.rse.2016.11.010.
  9. Martens, B., Gonzalez Miralles, D., Lievens, H., van der Schalie, R., de Jeu, R. A., Fernández-Prieto, D., … & Verhoest, N. (2017). GLEAM v3: Satellite-based land evaporation and root-zone soil moisture. Geoscientific Model Development, 10(5), 1903-1925.
  10. Parinussa, R. M., Wang, G., Liu, Y. Y., Hagan, D. F., Lin, F., van der Schalie, R., & de Jeu, R. A. (2017). The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People’s Republic of China. Remote Sensing, 9(2), 149.
  11. Van der Schalie, R., de Jeu, R. A. M., Kerr, Y. H., Wigneron, J. P., Rodríguez-Fernández, N. J., Al-Yaari, A., … & Drusch, M. (2017). The merging of radiative transfer based surface soil moisture data from SMOS and AMSR-E. Remote Sensing of Environment, 189, 180-193.
  12. Schellekens, J., Dutra, E., Martínez-de la Torre, A., Balsamo, G., Dijk, A. van, Sperna Weiland, F., Minvielle, M., Calvet, J.-C., Decharme, B., Eisner, S., Fink, G., Flörke, M., Peßenteiner, S., Beek, R. van, Polcher, J., Beck, H., Orth, R., Calton, B., Burke, S., Dorigo, W., Weedon, G.P., 2016. A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset. Earth System Science Data 1–35. https://doi.org/10.5194/essd-2016-55
  13. Vilasa, L., Miralles, D. G., Jeu, R. A. M., & Dolman, A. J. (2017). Global soil moisture bimodality in satellite observations and climate models. Journal of Geophysical Research: Atmospheres, 122(8), 4299-4311.
  14. Guido R. van der Werf, James T. Randerson, Louis Giglio, Thijs T. van Leeuwen, Yang Chen, Brendan M. Rogers, Mingquan Mu, Margreet J. E. van Marle, Douglas C. Morton, G. James Collatz, Robert J. Yokelson. Global fire emissions estimates during 1997–2016. Earth System Science Data 9 (https://doi.org/10.5194/essd-9-697-2017), 697-720.
  15. O. Wani, J.V.L. Beckers, A.H. Weerts, D.P. Solomatine (2017) Residual uncertainty estimation using instance-based learning with applications to hydrologic forecasting. Hydrology and Earth System Sciences 21 (8), 4021-4036

2016

  1. Caroline B Alden, John B Miller, Luciana V Gatti, Manuel M Gloor, Kaiyu Guan, Anna M Michalak, Ingrid T van der Laan‐Luijkx, Danielle Touma, Arlyn Andrews, Luana S Basso, Caio SC Correia, Lucas G Domingues, Joanna Joiner, Maarten C Krol, Alexei I Lyapustin, Wouter Peters, Yoichi P Shiga, Kirk Thoning, Ivar R van der Velde, Thijs T van Leeuwen, Vineet Yadav, Noah S Diffenbaugh. Regional atmospheric CO2 inversion reveals seasonal and geographic differences in Amazon net biome exchange, Global change biology, 22, 10, 3427-3443.
  2. Al-Yaari, A., Wigneron, J. P., Kerr, Y., de Jeu, R., Rodriguez-Fernandez, N., van der Schalie, R., … & Ducharne, A. Testing regression equations to derive long-term global soil moisture datasets from passive microwave observations. Remote Sensing of Environment,180, 453-464.
  3. Niels Andela, Guido R Werf, Johannes W Kaiser, Thijs T van Leeuwen, Martin J Wooster, Caroline ER Lehmann. Biomass burning fuel consumption dynamics in the tropics and subtropics assessed from satellite, Biogeosciences, 13, 12, 3717-3734.
  4. Beck, H. E., van Dijk, A. I. J. M., de Roo, A., Miralles, D. G., McVicar, T. R., Schellekens, J., and Bruijnzeel, L. A.: Global-scale regionalization of hydrologic model parameters, Water Resour. Res., 52, 3599–3622, https://doi.org/10.1002/2015WR018247, 2016.
  5. Beck, H.E., van Dijk, A.I.J.M., de Roo, A., Dutra, E., Fink, G., Orth, R., Schellekens, J., 2016. Global evaluation of runoff from ten state-of-the-art hydrological models. Hydrology and Earth System Science 1–33. https://doi.org/10.5194/hess-2016-124
  6. Favier V., D. Verfaillie, E. Berthier, M. Menegoz, V. Jomelli, J. Kay, L. Ducret, Y. Malbéteau, D. Brunstein, H. Gallee, Y. Hyang Park, V. Rinterknecht (2016) Atmospheric drying as the main driver of dramatic glacier wastage in the southern Indian Ocean, Nature Scientific Reports 6, 32396; doi:10.1038/srep32396.
  7. JA Carvalho Jr, SS Amaral, MAM Costa, TG Soares Neto, CAG Veras, FS Costa, TT Van Leeuwen, GC Krieger Filho, E Tourigny, MC Forti, AH Fostier, MB Siqueira, JC Santos, BA Lima, P Cascão, G Ortega, EF Frade Jr: CO2 and CO emission rates from three forest fire controlled experiments in Western Amazonia, Atmospheric environment, v135, 73-83.
  8. de Jeu, R., & Dorigo, W. (2016). On the importance of satellite observed soil moisture. International Journal of Applied Earth Observation and Geoinformation, 45, 107-109.
  9. Van Dijk, A.I.J.M., Brakenridge, G.R., Kettner, A.J., Beck, H.E., De Groeve, T., Schellekens, J., 2016. River gauging at global scale using optical and passive microwave remote sensing. Water Resources Research. https://doi.org/10.1002/2015WR018545
  10. Donchyts, G., Schellekens, J., Winsemius, H., Eisemann, E., van de Giesen, N., 2016. A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia. Remote Sensing 8, 386. https://doi.org/10.3390/rs8050386
  11. Gevaert, A. I., Parinussa, R. M., Renzullo, L. J., van Dijk, A. I. J. M., & de Jeu, R. A. M. (2016). Spatio-temporal evaluation of resolution enhancement for passive microwave soil moisture and vegetation optical depth. International Journal of Applied Earth Observation and Geoinformation, 45, 235-244.
  12. Grant, J. P., Wigneron, J. P., De Jeu, R. A. M., Lawrence, H., Mialon, A., Richaume, P., … & Kerr, Y. (2016). Comparison of SMOS and AMSR-E vegetation optical depth to four MODIS-based vegetation indices. Remote Sensing of Environment, 172, 87-100.
  13. Griesfeller, A., Lahoz, W. A., de Jeu, R. A. M., Dorigo, W., Haugen, L. E., Svendby, T. M., & Wagner, W. (2016). Evaluation of satellite soil moisture products over Norway using ground-based observations. International Journal of Applied Earth Observation and Geoinformation, 45, 155-164.
  14. Malbéteau Y., O. Merlin, B. Molero, C. Rüdiger, S. Bacon (2016) DisPATCh as a tool to evaluate coarse-scale remotely sensed soil moisture using localized in situ measurements: Application to SMOS and AMSR-E data in Southeastern Australia. International Journal of Applied Earth Observations and Geoinformation, pp. 221-234. doi:10.1016/j.jag.2015.10.002
  15. Molero B., O. Merlin, Y. Malbéteau, A. Al Bitar, F. Cabot, V. Stefan, S. Bacon, Y. Kerr, R. Bindlish, T.J. Jackson, (2016) New SMOS disaggregated soil moisture product at 1km resolution : processor overview and first validation results, Remote Sensing of Environment. doi:10.1016/j.rse.2016.02.045
  16. López López, P., Wanders, N., Schellekens, J., Renzullo, L.J., Sutanudjaja, E.H., Bierkens, M.F.P., 2016. Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations. Hydrol. Earth Syst. Sci. 20, 3059–3076. https://doi.org/10.5194/hess-20-3059-2016
  17. Parinussa, R. M., de Jeu, R. A., van Der Schalie, R., Crow, W. T., Lei, F., & Holmes, T. R. (2016). A Quasi-Global Approach to Improve Day-Time Satellite Surface Soil Moisture Anomalies through the Land Surface Temperature Input. Climate, 4(4), 50.
  18. Van der Schalie, R., Kerr, Y. H., Wigneron, J. P., Rodríguez-Fernández, N. J., Al-Yaari, A., & de Jeu, R. A. M. (2016). Global SMOS soil moisture retrievals from the land parameter retrieval model. International Journal of Applied Earth Observation and Geoinformation, 45, 125-134.
  19. Vreugdenhil, M., W. Dorigo, W. Wagner, RAM de Jeu, S Hahn, Analysing the Vegetation Parameterisation in the TU-Wien ASCAT Soil Moisture Retrieval Geoscience and Remote Sensing, IEEE Transactions on,54(6), 3513-3531.
  20. J.V.L. Beckers, A.H. Weerts, E. Tijdeman, E. Welles (2016) ENSO-conditioned weather resampling method for seasonal ensemble streamflow prediction. Hydrology and Earth System Sciences 20 (8), 3277-3287
  21. F.L.M. Diermanse, D.G. Carroll, J.V.L. Beckers, R. Ayre (2016) An efficient sampling method for fast and accurate Monte Carlo Simulations. Australasian Journal of Water Resources 20 (2), 160-168
  22. D. Bachmann, D. Eilander, A. De Leeuw, J. Beckers, F. Diermanse, P. Gijsbers (2016) Von der hydrologischen zur risikobasierten Hochwasservorhersage. Gewässerentwicklung & Hochwasserrisikomanagement-Synergien, Konflikte und Lösungen aus EU-WRRL und EU-HWRM-RL
  23. Holgate, CM; De Jeu, Richard AM; van Dijk, Albert Ide Jan Martijn; Liu, YY; Renzullo, Luigi John; Dharssi, I; Parinussa, Robert M; Van Der Schalie, R; Gevaert, A; Walker, J; Comparison of remotely sensed and modelled soil moisture data sets across Australia. Remote Sensing of Environment 186, 479-500
  24. Rodríguez-Fernández, Nemesio J; Kerr, Yann H; Van der Schalie, Robin; Al-Yaari, Amen; Wigneron, Jean-Pierre; De Jeu, Richard; Richaume, Philippe; Dutra, Emanuel; Mialon, Arnaud; Drusch, Matthias; Long term global surface soil moisture fields using an SMOS-trained neural network applied to AMSR-E data. Remote Sensing 8(11), 959
  25. Dorigo, WA; Chung, D; Gruber, A; Hahn, S; Mistelbauer, T; Parinussa, RM; Paulik, C; Reimer, C; Van der Schalie, R; de Jeu, RAM; Soil Moisture in “State of the Climate in 2015”. Bulletin of the American Meteorological Society 97 (8), S31-S32

2015

  1. De Nijs AHA, RM Parinussa, RAM de Jeu, J Schellekens and TRH Holmes, A Methodology to Determine Radio Frequency Interference in AMSR2 Observations, Geoscience and Remote Sensing, IEEE Transactions on,5148-5159.
  2. M Buchwitz, M Reuter, O Schneising, H Boesch, I Aben, M Alexe, R Armante, P Bergamaschi, H Bovensmann, D Brunner, B Buchmann, JP Burrows, A Butz, F Chavallier, A Chedin, CD Crevoisier, M De Maziere, E De Wachter, R Detmers, B Dils, C Frankenberg, S Gonzi, P Hahne, OP Hasekamp, W Hewson, J Heymann, S Houweling, M Hilker, T Kaminski, G Kuhlmann, A Laeng, TTV Leeuwen, G Lichtenberg, J Marshall, S Noel, J Notholt, PI Palmer, R Parker, P Somkuti, M Scholze, GP Stiller, T Warneke, C Zehner: The Greenhouse Gas Project of ESA’s Climate Change Initiative (GHG-CCI): Phase 2 Achievements and Future Plans, 2015, 11, v735, ATMOS 2015
  3. RG Detmers, O Hasekamp, I Aben, S Houweling, TT Van Leeuwen, A Butz, J Landgraf, P Köhler, L Guanter, B Poulter. Anomalous carbon uptake in Australia as seen by GOSAT. Geophysical Research Letters, 42, 19, 8177-8184.
  4. Dorigo, W. A., Gruber, A., De Jeu, R. A. M., Wagner, W., Stacke, T., Loew, A., … & Kidd, R. (2015). Evaluation of the ESA CCI soil moisture product using ground-based observations. Remote Sensing of Environment, 162, 380-395.
  5. Enenkel, M., Reimer, C., Dorigo, W., Wagner, W., Pfeil, I., Parinussa, R., & De Jeu, R. (2015). Combining satellite observations to develop a daily global soil moisture product for a wide range of applications. Hydrology & Earth System Sciences Discussions, 12(11)
  6. Haasnoot, M., Schellekens, J., Beersma, J.J., Middelkoop, H., Kwadijk, J.C.J., 2015. Transient scenarios for robust climate change adaptation illustrated for water management in The Netherlands. Environmental Research Letters 10, 105008.
  7. IT Van der Laan‐Luijkx, IR Van der Velde, MC Krol, LV Gatti, LG Domingues, CSC Correia, JB Miller, M Gloor, TT Van Leeuwen, JW Kaiser, C Wiedinmyer, S Basu, Cathy Clerbaux, W Peters. Response of the Amazon carbon balance to the 2010 drought derived with CarbonTracker South America. Global Biogeochemical Cycles, 29, 7, 1092-1108, 2015.
  8. Liu, Y. Y., van Dijk, A. I., de Jeu, R. A., Canadell, J. G., McCabe, M. F., Evans, J. P., & Wang, G. (2015). Recent reversal in loss of global terrestrial biomass. Nature Climate Change.
  9. Parinussa, R. M., Holmes, T. R., Wanders, N., Dorigo, W. A., & de Jeu, R. A. (2015). A Preliminary Study toward Consistent Soil Moisture from AMSR2. Journal of Hydrometeorology, 16(2), 932-947.
  10. van der Molen, M. K., de Jeu, R. A. M., Wagner, W., van der Velde, I. R., Kolari, P., Kurbatova, J., … & Kotani, A. (2015). The effect of assimilating satellite derived soil moisture in SiBCASA on simulated carbon fluxes in Boreal Eurasia. Hydrology and Earth System Sciences Discussions,12, 9003-9054.
  11. van der Schalie, R., Parinussa, R. M., Renzullo, L. J., van Dijk, A. I. J. M., Su, C. H., & de Jeu, R. A. M. (2015). SMOS soil moisture retrievals using the land parameter retrieval model: Evaluation over the Murrumbidgee Catchment, southeast Australia. Remote Sensing of Environment, 163, 70-79.
  12. Sperna Weiland, F.C., Lopez Lopez, P., Van Dijk, A.I.J.M., Schellekens, J., 2015. Global high-resolution reference potential evaporation, in: Weber, T., McPhee, M.J. and Anderssen, R.S. (Eds) MODSIM2015. Presented at the 21st International Congress on Modelling and Simulation, Modelling and Simulation Society of Australia and New Zealand, Gold Coast, Australia, pp. 2548–2554.
  13. van Marle, M. J. E., van der Werf, G. R., de Jeu, R. A. M., & Liu, Y. Y. (2015). Annual South American forest loss estimates based on passive microwave remote sensing (1990–2010). Biogeosciences Discussions,12, 11499-11535.
  14. Aouizerats, B., van der Werf, G. R., Balasubramanian, R., and Betha, R.: Importance of transboundary transport of biomass burning emissions to regional air quality in Southeast Asia during a high fire event, Atmos. Chem. Phys., 15, 363-373, https://doi.org/10.5194/acp-15-363-2015, 2015.
  15. Bègue, N., Tulet, P., Pelon, J., Aouizerats, B., Berger, A., and Schwarzenboeck, A.: Aerosol processing and CCN formation of an intense Saharan dust plume during the EUCAARI 2008 campaign, Atmos. Chem. Phys., 15, 3497-3516, https://doi.org/10.5194/acp-15-3497-2015, 2015
  16. Frappart F., F. Papa, Y. Malbéteau, J. G. León, G. Ramillien, C. Prigent, F. Seyler, (2015) Surface freshwater storage variations in the Orinoco floodplains using multi-satellite observations over 2003-2007, Remote Sensing, 7(1), 89-110; doi:10.3390/rs70100089
  17. Frappart F., Papa, F., Marieu V, Malbéteau Y., Jordy F., Calmant S., Durant F., Bala S. (2015), A first Assessment of Saral-Altika observations over the Ganges-Brahmaputra and Irrawady river basins : in situ validation and cross-calibration with Envisat and Jason-2, Marine Geodesy SARAL special issues, doi: 10.1080/01490419.2014.990591
  18. Papa, F., F. Frappart, Y. Malbéteau, M. Shamsudduha, V. Venugopal, M. Sekhar, G. Ramillien, C. Prigent, F. Aires, R. K. Pandey, S. Bala and S. Calmant (2015), Satellite-derived Surface and Sub-surface Water Storage in the Ganges-Brahmaputra River Basin, Journal of Hydrology: Regional Studies, Volume 4, Part A, Pages 15-35, ISSN 2214-5818, special issue on “Groundwater system of the Indian Sub-Continent”, doi:10.1016/j.ejrh.2015.03.004
  19. Merlin O., Y. Malbéteau, Y. Notfi, S. Bacon, S. Er-Raki, S. Khabba, L. Jarlan, (2015) Performance metrics for soil moisture downscaling methods: Application to DisPATCh data in central Morocco, Remote Sensing, 7(4), 3783-3807; doi:10.3390/rs70403783
  20. C Yue, Philippe Ciais, P Cadule, K Thonicke, TT Van Leeuwen. Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 2: Carbon emissions and the role of fires in the global carbon balance. Geoscientific Model Development, European Geosciences Union, 2015, 8 (5), pp.1285-1297.
  21. F.L.M. Diermanse, K.M. De Bruijn, J.V.L. Beckers, N.L. Kramer (2015) Importance sampling for efficient modelling of hydraulic loads in the Rhine–Meuse delta. Stochastic Environmental Research and Risk Assessment 29 (3), 637-652

2014

  1. Al-Yaari, A., Wigneron, J. P., Ducharne, A., Kerr, Y., de Rosnay, P., de Jeu, R., … & Mialon, A. (2014). Global-scale evaluation of two satellite-based passive microwave soil moisture datasets (SMOS and AMSR-E) with respect to Land Data Assimilation System estimates. Remote Sensing of Environment,149, 181-195
  2. Chen T, RAM de Jeu, YY Liu, GR van der Werf, AJ Dolman, Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia (2014) Remote Sensing of Environment, Volume 140, January 2014, Pages 330-33
  3. De Jeu RAM., TRH Holmes, RM Parinussa, M Owe. A spatial Coherent Global Soil Moisture Product with Improved Temporal Resolution,Journal of Hydrology, 516, 284-29
  4. Dolman, A. J., Miralles, D. G. and de Jeu, R. A.M. (2014), Fifty years since Monteith’s 1965 seminal paper: the emergence of global ecohydrology. Ecohydrol., 7: 897–902. doi: 10.1002/eco.150
  5. W. Dorigo, D. Chung, R. Parinussa, C. Reimer, S. Hahn, Y. Liu, W. Wagner, R. De Jeu, C. Paulik, G. Wang: “Soil Moisture”; Bulletin of the American Meteorological Society, 95 (2014), 7; S25 – S26
  6. Holmes, TRH, W Crow, RAM de Jeu, Leveraging Microwave Polarization Information for the Calibration of a Land Data Assimilation System, Geophysical Research Letters, Geophys. Res. Lett., 41, doi:10.1002/2014GL061991.:
  7. JW Kaiser, N Andela, J Atherton, M de Jong, A Heil, R Paugam, S Remy, MG Schultz, GR van der Werf, TT van Leeuwen, MJ Wooster: Recommended fire emission service enhancements, European Centre for Medium-Range Weather Forecasts.
  8. Thijs Thomas Van Leeuwen, Guido R Van der Werf, Anja A Hoffmann, Rob G Detmers, Gernot Rücker, Nancy HF French, Sally Archibald, JA Carvalho Jr, Garry D Cook, William J De Groot, C Hély, Eric S Kasischke, Silvia Kloster, Jessica L McCarty, Maria Lucrecia Pettinari, Patrice Savadogo, Ernesto C Alvarado, Luigi Boschetti, Solichin Manuri, CP Meyer, Florian Siegert, Lynne A Trollope, Winston SW Trollope. Biomass burning fuel consumption rates: a field measurement database. Biogeosciences, 11, 7305-7329, 2014.
  9. Miernecki M, JP Wigneron, E Lopez-Baeza, Y Kerr, R De Jeu, GJM. De Lannoy, TJ Jackson, PE O’Neill, M Schwank, R Fernandez Moran, S Bircher, H Lawrence, A Mialon, A Al Bitar, Pe Richaume, Comparison of SMOS and SMAP soil moisture retrieval approaches using tower-based radiometer data over a vineyard field, Remote Sensing of Environment, 154, Pages 89-101, http://dx.doi.org/10.1016/j.rse.2014.08.002
  10. Miralles DG, MK van den Berg, JH Gash RM Parinussa, RAM de Jeu, H Beck, T Holmes, C Jimenez, N Verhoest, W Dorigo, AJ Teuling and AJ Dolman, E l Nino-La Nina cycle and recent trends in continental evaporation, Nature Climate Change, 4, 122-12
  11. Mladenova IE, T.J. Jackson, E. Njoku, R. Bindlish, S. Chan, M.H. Cosh, T.R.H. Holmes, R.A.M. de Jeu, L. Jones, J. Kimball, S. Paloscia, E. Santi, Remote monitoring of soil moisture using passive microwave-based techniques —Theoretical basis and overview of selected algorithms for AMSR-E, Remote Sensing of Environment, Volume 144, 25 March 2014, Pages 197-213, ISSN 0034-425
  12. Parinussa RM, G Wang, TRH Holmes, YY Liu, AJ Dolman, RAM de Jeu, T Jiang, Global Surface Soil Moisture from the Microwave Radiation Imager onboard the Fengyun-3B satellite, International Journal of Remote Sensing, Vol. 35, pages 7007-7029
  13. Parinussa, R, M Yilmaz, M Anderson, C Hain and R de Jeu, An intercomparison of soil moisture observations at various spatial scales over the Iberian Peninsula, Hydrological Processes, 28(18), 4865-4876
  14. Paulik, C., Dorigo, W., Wagner, W., Kidd, R., 2014. Validation of the ASCAT Soil Water Index using in situ data from the International Soil Moisture Network. International Journal of Applied Earth Observation and Geoinformation 30, 1–8. https://doi.org/10.1016/j.jag.2014.01.007
  15. Schellekens, J., Brolsma, R.J., Dahm, R.J., Donchyts, G.V., Winsemius, H.C., 2014. Rapid setup of hydrological and hydraulic models using OpenStreetMap and the SRTM derived digital elevation model. Environmental Modelling & Software 61, 98–105. https://doi.org/10.1016/j.envsoft.2014.07.006
  16. Wagner, W.; Brocca, L.; Naeimi, V.; Reichle, R.; Draper, C.; de Jeu, R.; Ryu, D.; Chun-Hsu Su; Western, A.; Calvet, J.-C.; Kerr, Y.H.; Leroux, D.J.; Drusch, M.; Jackson, T.J.; Hahn, S.; Dorigo, W.; Paulik, C., “Clarifications on the “Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S.”,” Geoscience and Remote Sensing, IEEE Transactions on, vol.52, no.3, pp.1901,1906, March 2014: doi: 10.1109/TGRS.2013.228217
  17. K.M. De Bruijn, F.L.M. Diermanse, J.V.L. Beckers (2014) An advanced method for flood risk analysis in river deltas, applied to societal flood fatality risk in the Netherlands. Natural Hazards and Earth System Sciences 14 (10), 2767-2781

2013

  1. Albergel C., W Dorigo, G Balsamo, J Sabatar, P de Rosnay, l Isaksen, L Brocca, R de Jeu, W Wagner. Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses, Remote Sensing of Environment
  2. Albergel, C, W Dorigo, R Reichle, G Balsamo, P De Rosnay, J Munoz-Sabater, L Isaksen, RAM de Jeu. W Wagner, 2013 Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing, Journal of Hydrometeorology.
  3. Andela, N, Y Liu, A van Dijk, R de Jeu and T McVicar, 2013 Global changes in dryland vegetation dynamics (1988-2008) assessed by satellite remote sensing:combining a new passive microwave vegetation density record with reflective greenness data. Biogeosciences disc. 10, 8749-8797.
  4. N Andela, JW Kaiser, A Heil, TT Van Leeuwen, GR van der Werf, MJ Wooster, S Remy, MG Schultz: Assessment the Global Fire Assimilation System (GFASv1), MACC, Monitoring Athmospheric Composition and Climate II
  5. Beck, H.E., Dijk, A.I., Miralles, D.G., Jeu, R.A., McVicar, T.R., Schellekens, J., others, 2013. Global patterns in base flow index and recession based on streamflow observations from 3394 catchments. Water Resources Research 49, 7843–7863.
  6. Beck, H.E., Bruijnzeel, L.A., van Dijk, A.I.J.M., McVicar, T.R., Scatena, F.N., Schellekens, J., 2013. The impact of forest regeneration on streamflow in 12 mesoscale humid tropical catchments. Hydrol. Earth Syst. Sci. 17, 2613–2635. https://doi.org/10.5194/hess-17-2613-2013
  7. Chen, T, GR van der Werf, RAM de Jeu, G Wang, and AJ Dolman,2013 A global analysis of the impact of drought on net primary productivity, Hydrol. Earth Syst. Sci. Discuss., 10, 2429-2451, doi:10.5194/hessd-10-2429
  8. De Jeu, RAM, R Haarbrink, Y Pluijmers, 2013, Ruimtevaarttechnologie nu toepasbaar bij dijkbewaking, H2O, 2, 36-37.
  9. Dente L. Z Vekerdy, R de Jeu and Z Su, 2013 Seasonality and autocorrelation of satellite derived soil moisture products, International Journal of Remote Sensing, 34, 9-10, 3231-3247.
  10. Draper C, R Reichle, R de Jeu, V Naeimi, R Parinussa, W Wagner, Estimating root mean square errors in remotely sensed soil moisture over continental scale domains, Remote Sensing of Environment, in press.
  11. MC Krol, PB Hooghiemstra, TT van Leeuwen, GR van der Werf, PC Novelli, MN Deeter, I Aben, T Röckmann: Correction to “Interannual variability of carbon monoxide emission estimates over South America from 2006 to 2010”, Journal of Geophysical Research: Atmospheres, 118, 10, 5061-5064.
  12. Liu YY, Evans JP, McCabe MF, de Jeu RAM, van Dijk AIJM, et al. (2013) Changing Climate and Overgrazing Are Decimating Mongolian Steppes. PLoS ONE8(2): e57599. doi:10.1371/journal.pone.0057599
  13. Loew, A., Stacke, T., Dorigo, W., de Jeu, R., and Hagemann, S.: Potential and limitations of multidecadal satellite soil moisture observations for climate model evaluation studies, Hydrol. Earth Syst. Sci. Discuss., 10, 3541-3594, doi:10.5194/hessd-10-3541-2013
  14. Parinussa, R, R de Jeu, W Wagner, W Dorigo, F Fang, W Teng and Y Liu [Global Climate] Soil Moisture [in “State of the Climate in 2012”]. Bull. Amer. Meteor. Soc., in press.
  15. Van Dijk, AIJM, H Beck, RAM de Jeu, Y Liu, G Podger, B Timbal and N Viney, The Millennium Drought in southeast Australia (2001-2009): natural and human causes and implications for water resources, ecosystems, economy and society. Water Resources Research, DOI: 10.1002/wrcr.20123
  16. TT Van Leeuwen, W Peters, MC Krol, GR van der Werf, Dynamic biomass burning emission factors and their impact on atmospheric CO mixing ratios, Journal of Geophysical Research: Atmospheres, 118, 12, 6797-6815.
  17. Vreugdenhil M, R de Jeu, and J Walker ,2013 Identification of clay pans from AMSR-E passive microwave observationsInternational Journal of Remote Sensing, 34, 14, 5201-5212.
  18. Wagner, W., S Hahn, J Figa, C Albergel, P de Rosnay, L Brocca, R de Jeu, S Hasenauer, W Dorigo, Chapter 24: Operations, challenges and prospects of satellite based soil moisture data services, in Remote Sensing of Land Surface Turbulent Fluxes and Soil Surface Moisture Content: State of the Art, Taylor and Francis, to appear in mid 2013.
  19. GR Van der Werf, W Peters, TT Van Leeuwen, L Giglio, What could have caused pre-industrial biomass burning emissions to exceed current rates? Climate of the Pst, 9, 1, 289-306, 2013.
  20. Werner, M., Schellekens, J., Gijsbers, P., van Dijk, M., van den Akker, O., Heynert, K., 2013. The Delft-FEWS flow forecasting system. Environmental Modelling & Software 40, 65–77. https://doi.org/10.1016/j.envsoft.2012.07.01

2012

  1. De Jeu, RAM, WA Dorigo, RM Parinussa WW Wagner and D Chung [Global Climate] Soil Moisture [in “State of the Climate in 2011”]. Bull. Amer. Meteor. Soc.,93, S30-S34.
  2. De Jeu, RAM, WA Dorigo, RM Parinussa, WW Wagner, YY Liu, D Chung and D Fernandez-Prieto [Global Climate] Sidebar 2.2: building a climate record of soil moisture from historical satellite observations [in “State of the Climate in 2011”]. Bull. Amer. Meteor. Soc., 93, S32-S33.
  3. De Jeu RAM, T. Holmes, W. Wagner, W. Dorigo, S. Hahn and R. Parinussa, 2012, Evaluation of SMOS soil moisture with other existing satellite products, in IAHS remote sensing and hydrology(Eds C Neale and M Cosh), 25-29.
  4. Dorigo WA, RAM de Jeu, D Chung, R Parinussa, Y Liu, W Wagner and D Fernandez-Prieto, Evaluating global trends (1988-2010) in harmonized multi-satellite soil moisture data, Geophysical Research Letters, 39, 18, doi:10.1029/2012GL052988
  5. Holmes T., W Crow, T Jackson, RAM De Jeu, R Reichle and M Cosh, 2012, Assessment of soil moisture retrieval with numerical weather prediction model temperatures, in IAHS remote sensing and hydrology(Eds C Neale and M Cosh), 3-7.
  6. PB Hooghiemstra, MC Krol, TT Van Leeuwen, GR Van Der Werf, PC Novelli, MN Deeter, I Aben, T Röckmann. Interannual variability of carbon monoxide emission estimates over South America from 2006 to 2010, Journal of Geophysical Research: Atmospheres, 117 (D15).
  7. Liu, Y., R Parinussa, W Dorigo, RAM De Jeu, W Wagner, M McCabe, J Evans, and A van Dijk, 2012, Improving satellite soil moisture estimates by combining passive and active microwave observations (1992-2008) in IAHS remote sensing and hydrology(Eds C Neale and M Cosh), 16-21.
  8. Liu, Y., WA Dorigo, RM Parinussa, RAM de Jeu, WW Wagner, MF McCabe, JP Evans, and AIJM van Dijk, Trend-preserving blending of passive and active microwave soil moisture retrievals,Remote Sensing of Environment,123, 280-297
  9. Liu, Y. Y., van Dijk, A. I. J. M., McCabe, M. F., Evans, J. P., de Jeu, R. A. M. (2012), Global vegetation biomass change (1988–2008) and attribution to environmental and human drivers. Global Ecology and Biogeography. doi: 10.1111/geb.12024
  10. Miralles, D, MJ van den Berg, AJ Teuling, and RAM de Jeu, Soil moisture-Temperature Coupling: A multiscale observational Analysis, Geophysical Research Letters, doi:10.1029/2012GL053703
  11. Parinussa, R, TRH Holmes and RAM de Jeu, Soil Moisture Retrievals from the Windsat spaceborne polarimetric microwave radiometer, IEEE Transactions on Geoscience and remote sensing, 50, 2683-2694
  12. Price, D., Hudson, K., Boyce, G., Schellekens, J., Moore, R.J., Clark, P., Connolly, E., Pilling, C., Harrison, T., 2012. Operational use of a grid-based model for flood forecasting. Proceedings of the ICE – Water Management 165, 65–77. https://doi.org/10.1680/wama.2012.165.2.65
  13. Rebel KT, RAM de Jeu, P Ciais, N Viovy, SL Piao, G Kiely and AJ Dolman, A global analysis of soil moisture derived from satellite observations and a land surface model, Hydrol. Earth Syst. Sci., 16, 833-847
  14. Taylor, C, RAM de Jeu, F. Guichard, P. Harris and W. Dorigo, Afternoon rain more likely over drier soils, Nature, 489, 282 – 286.
  15. Wagner, W, W Dorigo, RAM de Jeu, D Fernandez, J Benveniste, E Haas, M Ertl, Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture,ISPRS Annals, Volume I-7, 315-321.
  16. Wanders. N, D Karssenberg, MFP Bierkens, RM Parinussa, RAM de Jeu, JC van Dam and SM de Jong, Observations uncertainty of satellite soil moisture products determined with physically-based modeling,Remote Sensing of Environment, 127, 341-356
  17. Wang, G, D Garcia, Y Liu, RAM de Jeu and AJ Dolman, A gap filling method for satellite soil moisture, Environmental Modelling and Software, 30, 139-142

2011

  1. Beck, HE, AIJM van Dijk, TR McVicar, J Schellekens, RAM de Jeu, LA Bruijnzeel, Global evaluation of four AVHRR–NDVI data sets: Intercomparison and assessment against Landsat imagery. Remote Sensing of Environment, 115, 2547:2563, doi: 10.1016/j.rse.2011.05.012
  2. Bisselink, B, E. van Meijgaard, A.J. Dolman, and R.A.M. de Jeu Initializing a regional climate model with satellite-derived soil moisture, Journal of Geophysical Research, doi: 10.1029/2010JD014534, doi:10.1029/2010JD014534, 2011
  3. De Jeu, RAM, WW Wagner, W Dorigo, and Y Liu, State of the Climate: Soil Moisture, Bull. Atm. Met. Soc.92, 52-53
  4. De Jeu RAM, and WW Wagner, Water in the ground –Soil moisture, In: Treatise on Water Science –Volume 2 Chapter 21 Observation of hydrological processes using remote sensing (Ed. Z. Su), Elsevier Press, ISBN 978-0-444-53193-3
  5. TT Van Leeuwen, GR Van Der Werf, Spatial and temporal variability in the ratio of trace gases emitted from biomass burning. Atmospheric Chemistry and Physics, 11, 8, 3611-3629, 2011.
  6. Thijs T van Leeuwen, Andrew J Frank, Yufang Jin, Padhraic Smyth, Michael L Goulden, Guido R van der Werf, James T Randerson. Optimal use of land surface temperature data to detect changes in tropical forest cover. Journal of Geophysical Research: Biogeosciences, 116, G2, 2011.
  7. Liu, Q, RH Reichle, R Bindlish, MH Cosh, WT Crow, RAM de Jeu, GJM de Lannoy, GJ Huffman, and TJ Jackson, The contributions of precipitation and soil moisture observations to the skill of soil moisture estimates in a land data assimilation system, Journal of Hydrometeorology, doi: 10.1175/JHM-D-10-05000.1
  8. Liu, Y, R Parinussa, WA Dorigo, RAM de Jeu, W Wagner, AIJM van Dijk, MF McCabe and JP Evans, Initial methodology for blending passive and active microwave satellite-based soil moisture retrievals,Hydrol. Earth Syst. Sci, 15, 425-436
  9. Liu, Y, RAM de Jeu, MF McCabe, JP Evans and AIJM van Dijk, Global long-term passive microwave satellite based retrievals of vegetation optical depth, Geophysical Research Letters, 38, L18402, doi: 10.1029/2011GL048684
  10. Miralles, DG, RAM De Jeu, JH Gash, TRH Holmes, and AJ Dolman, Magnitude and variability of land evaporation and its components at the global scale, Hydrol. Earth Syst. Sci, 15,967-981
  11. Miralles, DG. Holmes, TRH, RAM De Jeu, JH Gash, AJ Dolman, and AGCA Meesters, Global land-surface evaporation estimated from satellite-based observations, Hydrol. Earth Syst. Sci, 15, 453-469
  12. Mladenova I, V Lakshmi, TJ Jackson, JP Walker, O Merlin, and RAM De Jeu Validation of AMSR-E Soil Moisture Using L-band Airborne Radiometer Data from NAFE’06, Remote Sensing of Environment, 115, 2096-2103
  13. Parinussa R, AGCA Meesters, Y Liu, W Dorigo, W Wagner and RAM De Jeu An Analytical Solution to Estimate the Error Structure of a Global Soil Moisture Dataset, IEEE Geoscience and remote sensing letters, 8, 779-783, doi: 10.1109/LGRS.2011.2114872
  14. Rossato L, RAM De Jeu, R Alvala and S Souza. Evaluation of soil moisture from satellite observations over South America, International Journal of Remote Sensing, DOI: 10.1080/01431161.2010.532169
  15. Schellekens, J., Weerts, A.H., Moore, R.J., Pierce, C.E., Hildon, S., 2011. The use of MOGREPS ensemble rainfall forecasts in operational flood forecasting systems across England and Wales. Advances in Geosciences 29, 77–84.
  16. Van der Molen MK, AJ Dolman, P Ciais, T Eglin, N Gobron, BE Law, P Meir, W Peters, OL Phillips, M Reichstein, T Chen, SC Dekker, M Doubkova, MA Friedl, M Jung, BJJM van den Hurk, RAM de Jeu, B Kruijt, T Ohta, KT Rebel, S Plummer, SI Seneviratne, S Sitch, AJ Teuling, GR van der Werf, G Wang, Drought and ecosystem carbon cycling, Agricultural and Forest Meteorology, 151, 765-773, doi: 10.1016/j.agrformet.2011.01.018
  17. B. Aouizerats, Pierre Tulet, G. Pigeon, V. Masson, L. Gomes. High resolution modelling of aerosol dispersion regimes during the CAPITOUL field experiment: from regional to local scale interactions. Atmospheric Chemistry and Physics, European Geosciences Union, 2011, 11 (15), pp.7547–7560. ⟨10.5194/acp-11-7547-2011⟩

2010

  1. Champagne C, A Berg, J. Belanger, H. McNairn, and RAM De Jeu Evaluation of Soil Moisture Derived from Passive Microwave Remote Sensing Over Agricultural Sites in Canada Using Ground-based Soil Moisture Monitoring Networks, International Journal of Remote Sensing, 31(14): 3669-3690.
  2. Dolman, AJ and RAM De Jeu Evaporation In Focus, Nature Geoscience, Vol 3, p 296, doi: 10.1038/ngeo849
  3. Dorigo W, K Scipal, RM Parinussa, YY Liu, W Wagner, RAM de Jeu, and V Naeimi, Error characterisation of global active and passive microwave soil moisture data sets Hydrol. Earth Syst. Sci., 14, 2605-2616
  4. Gruhier C., P. de Rosnay, S. Hasenauer, T. Holmes, RAM De Jeu, Y. Kerr, E. Mougin, E. Njoku, F. Timouk, W. Wagner, and M. Zribi, Soil moisture active and passive microwave products: intercomparison and evaluation over a Sahelian site, Hydrol. Earth Syst. Sci., 14, 141-156
  5. Jung M, M Reichstein, P Ciais SI Seneviratne, J Sheffield, G Bonan, A Cescatti, J Chen, RAM De Jeu, AJ Dolman, W Eugster, D Gerten, D Gianelle, N Gobron, ML Goulden, J Heinke, J Kimball, BE Law, J Montagnani, Q Mu, B Mueller, K Oleson, D Papale, A Richardson, O Roupsard, S Running, E Tomelleri, N Viovy, U Weber, C Williams, E Wood, S Zaehle, K Zhang, A recent decline in the global land evaportranspiration trend due to limited moisture supply , Nature, 467, 951-954, doi:10.1038/nature09396
  6. Liu Y, M McCabe, JP Evans, AIJM van Dijk, RAM De Jeu and H Su Influence of cracking clays on satellite observed and model simulated soil moisture, Hydrol. Earth Syst. Sci.14, 979-990
  7. Miralles D, JH Gash, TRH Holmes, RAM De Jeu and AJ Dolman Global Canopy Interception from Satellite observations, Journal of Geophysical Research, 115, D16122, doi:10.1029/2009JD013530.
  8. Sluiter, R, ME Schaepman, RAM de Jeu. Introduction to the Issue on Heterogeneous Data Access and Use for Geospatial User Communities –Part II, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3, 251 doi:10.1109/JSTARS.2010.2067050
  9. Su Z, W. Dorigo, D. Fernández-Prieto, M. Van Helvoirt, K. Hungershoefer, RAM de Jeu, R. Parinussa, J. Timmermans, R. Roebeling, M. Schröder, J. Schulz, C. Van der Tol, P. Stammes, W. Wagner, L. Wang, P. Wang, and E. Wolters Earth observation Water Cycle Multi-Mission Observation Strategy (WACMOS), Hydrol. Earth Syst. Sci. Discuss., 7, 7899-7956
  10. Tulet, P., K. Crahan-Kaku, M. Leriche, B. Aouizerats, S. Crumeyrolle, 2010. Mixing of dust aerosols into a mesoscale convective system: Generation, filtering and possible feedbacks on ice anvils, Atmospheric Research, Volume 96, Issues 2–3, Pages 302-314, ISSN 0169-8095, https://doi.org/10.1016/j.atmosres.2009.09.011
  11. B. Aouizerats, O. Thouron, Pierre Tulet, M. Mallet, L. Gomes, et al.. Development of an online radiative module for the computation of aerosol optical properties in 3-D atmospheric models: validation during the EUCAARI campaign. Geoscientific Model Development, European Geosciences Union, 2010, 3 (2), pp.553-564.
  12. Guido R Van der Werf, James T Randerson, Louis Giglio, GJ Collatz, M Mu, Prasad S Kasibhatla, Douglas C Morton, RS DeFries, Y van Jin, Thijs T van Leeuwen. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009). Atmospheric chemistry and physics 10 (23), 11707-11735
  13. F.L.M. Diermanse, J.C.J. Kwadijk, J.V.L. Beckers, J.I. Crebas (2010) Statistical trend analysis of annual maximum discharges of the Rhine and Meuse rivers. BHS third international symposium, New Castle, 1-5.

2009

  1. Beck H, RAM De Jeu, J Schellekens, LA Bruijnzeel, and AIJM van Dijk Improving Curve Number Based Storm Runoff Estimates Using Soil Moisture Proxies, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4, 250-259, doi: 10.1109/JSTARS.2009.2031227
  2. De Jeu RAM, TRH Holmes, R Panciera, and JP Walker Parameterization of the Land Parameter Retrieval Model for L-band Observations using the Nafe’05 Dataset, IEEE Geoscience and Remote Sensing Letters, 6, 630-634, doi:10.1109/LGRS.2009.2019607
  3. van Dijk, A. I. J. M., van Noordwijk, M., Calder, I. R., Bruijnzeel, L. A., Schellekens, J., and Chappell, N. (2009). Forest–Flood Relation still Tenuous—Comment on “Global Evidence that Deforestation Amplifies Flood Risk and Severity in the Developing World” by C.J.A. Bradshaw, N. S. Sodi, K. S.-H.Peh, and B.W. Brook. Global Change Biology 15: 110–115. doi: 10.1111/j.1365-2486.2008.01708.x.
  4. Draper CS, JP Walker, PJ Steinle, RAM. De Jeu, and TRH Holmes Evaluation of AMSR-E derived soil moisture over Australia, Remote Sensing of Environment, 113, 703-710, doi:10.1016/j.rse.2008.11.011
  5. Holmes TRH, RAM De Jeu, M Owe, and AJ Dolman Land Surface Temperatures from Ka-Band (37 GHz) Passive Microwave Observations.Journal of Geophysical Research, 114, D04113, doi:10.1029/2008JD010257.
  6. Holmes TRH, H Kooi, RAM De Jeu and M. Owe Reply to comment by Wang and Bras on “Estimating the soil temperature profile from a single depth observation: A simple empirical heatf low solution”Water Resources Research, 45, W03602, doi:10.1029/2008WR007513.
  7. Loew A, TRH Holmes, and RAM De Jeu The European heat wave 2003: early indicators from multisensoral microwave remote sensing?, Journal of Geophysical Research, 114, D05103, doi:10.1029/2008JD010533
  8. Liu Y, AIJM Van Dijk, RAM De Jeu and TRH Holmes An Analysis on Spatiotemporal Variations of Soil and Vegetation Moisture from a 29 year Satellite Derived Dataset over Mainland Australia, Water Resources Research, 45, W07405, doi: 10.1029/2008WR007187
  9. Mladenova I, V Lakshmi, JP Walker, D Long, and RAM De Jeu An Assessment of Scatterometer Observations for Disaggregation of Radiometer derived Soil Moisture Estimates over the NAFE’06 Study Area, IEEE Geoscience and Remote Sensing Letters, 6, 640-643, doi:10.1109/LGRS.2009.2021492
  10. Parmentier FJ, MK van der Molen, RAM De Jeu, DMD Hendriks, and AJ Dolman CO2 fluxes and evaporation on a peatland in the Netherlands appear not affected by water table, Agriculture and Forest Meteorology, 149, 1201-1208, doi:10.1016/j.agrformet.2008.11.00
  11. Rudiger C, JC Calvet, C Gruhier, TRH Holmes, RAM De Jeu, and WW Wagner An Intercomparison of ERS-Scat, AMSR-E Soil Moisture Observations with Model Simulations over France, Journal of Hydrometeorology, 10, 431-447, doi: 10.1175/2008JHM997.1
  12. Sluiter, R, RAM de Jeu, ME Schaepman Introduction to the Ussue on Heterogeneous Data Access and Use for Geospatial User Communities, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4, 231-232 doi: 10.1109/JSTARS.2009.2039431
  13. Schumann G, DJ Lunt, PJ Valdes, RAM De Jeu, K Scipal, and PD Bates Assessment of soil moisture fields from imperfect climate models with uncertain satellite observations, Hydrol. Earth Syst. Sci., 6, 2733-2750
  14. Weerts, A.H., Schellekens, J., Sperna Weiland, F., 2010. Real-Time Geospatial Data Handling and Forecasting: Examples From Delft-FEWS Forecasting Platform/System. IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing 3, 386–394. https://doi.org/10.1109/JSTARS.2010.2046882
  15. Werner, M., Cranston, M., Harrison, T., Whitfield, D., Schellekens, J., 2009. Recent developments in operational flood forecasting in England, Wales and Scotland. Meteorological Applications 16, 13–22. https://doi.org/10.1002/met.124

2008

  1. De Jeu RAM, WW Wagner, TRH Holmes, AJ Dolman, NC van de Giesen, and J Friesen Global Soil Moisture Patterns Observed by Space Borne Microwave Radiometers and Scatterometers, Surveys in Geophysics, 28, 399-420 doi 10.1007/s10712-008-9044-0.
  2. Holmes TRH, M Drusch, JP Wigneron and RAM De Jeu. A global simulation of microwave emission: Error structures based on output from ECMWF’s operational Integrated Forecast System IEEE Transactions on Geoscience and Remote Sensing, 46, doi: 10.1109/TGARS.2007.91498.
  3. Holmes TRH , M Owe, RAM De Jeu and H. Kooi. Estimating the Soil Temperature Profile from a single  Depth Observation: A simple Empirical Heatflow Solution Water Resources Research, 44, W02412, doi:10.1029/2007WR005994.
  4. Owe M, RAM De Jeu and TRH Holmes Multi-Sensor Historical Climatology of Satellite-Derived Global Land Surface Moisture, Journal of Geophysical Research, 113, F01002, doi:10.1029/2007JF000769.
  5. Parinussa RM, RAM De Jeu, TRH Holmes, and JP Walker Comparison of Microwave and Infrared Land Surface Temperature Products over the NAFE’06 Research Sites, IEEE Geoscience and Remote Sensing Letters, 5, 783-787, doi 10.1109/LGRS.2008.2005738.
  6. Scipal K, TRH Holmes, RAM De Jeu, V Naeimi and WW Wagner A Possible Solution for the Problem of Estimating the Error Structure of Global Soil Moisture Datasets, Geophysical Research Letters, 35, L24403, doi:10.1029/2008GL035599.

< 2008

  1. De Jeu RAM (2003) Retrieval of Land Surface Parameters Using Passive Microwave Observations, PhD Dissertation, VU Amsterdam, 120 pp, ISBN 90-9016430-8
  2. De Jeu RAM and M Owe (2003) Further validation of a new methodology for surface moisture and vegetation optical depth retrieval. International Journal of Remote Sensing, 24, 4559-4578, doi: 10.1080/0143116031000095934.
  3. van Dijk, A.I.J.M., Meesters, A.G.C.A., Schellekens, J., Bruijnzeel, L.A., 2005. A two parameter exponential rainfall depth-intensity distribution applied to runoff and erosion modelling. Journal of Hydrology 300, 155–171.
  4. Holmes TRH, P de Rosnay, RAM De Jeu, JP Wigneron, Y Kerr, JC Calvet, MJ Escorihuela, K Saleh and F Lemaitre (2006) A new parameterization of the Effective Temperature for L-band Radiometry, Geophysical Research Letters, 33, doi:10.1029/2006GL025724.
  5. Meesters AGCA, RAM De Jeu and M Owe (2005) Analytical Derivation of the Vegetation Optical Depth from the Microwave Polarization Difference Index, IEEE Geoscience and Remote Sensing Letters, 2, 121-123.
  6. Liu Y, RAM De Jeu AIJM Van Dijk and M Owe (2007) TRMM-TMI satellite observed soil moisture and vegetation density (1998–2005) show strong connection with El Nino in eastern Australia. Geophysical Research Letters, 34, doi:10.1029/2007GL030311.
  7. Owe M, RAM De Jeu, and JP Walker (2001) A Methodology for Surface Soil Moisture and Vegetation Optical Depth Retrieval Using the Microwave Polarization Difference Index. IEEE Transactions on Geoscience and Remote Sensing, 39, 1643-1654
  8. Owe M, AA Van de Griend, RAM De Jeu, JJ De Vries, E Seyhan, and ET Engman (1999) Estimating Soil Moisture from Satellite Microwave Observations: Past and Ongoing projects, and relevance to GCIP. Journal of Geophysical Research, 24, 19735-19742 doi: 10.1029/1999JD900107.
  9. Reggiani, P., Schellekens, J., 2003. Modelling of hydrological responses: the representative elementary watershed approach as an alternative blueprint for watershed modelling. Hydrological Processes 17, 3785–3789.
  10. Reggiani, P., Schellekens, J., 2005. Rainfall-runoff modelling: distributed models, in: Encyclopedia of Hydrological Sciences. Wiley, pp. 1967–1984.
  11. Schellekens, J., Scatena, F.N., Bruijnzeel, L.A., Wickel, A.J., 1999. Modelling rainfall interception by a lowland maritime tropical rain forest in northeastern Puerto Rico. Journal of Hydrology 225, 168–184.
  12. Schellekens, J., Bruijnzeel, L.A., Scatena, F.N., Bink, N.J., Holwerda, F., 2000. Evaporation from a tropical rain forest, Luquillo Experimental Forest, eastern Puerto Rico. Water Resources Research 36, 2183–2196.
  13. Schellekens, J., Scatena, F.N., Bruijnzeel, L.A., van Dijk, A.I.J.M., Groen, M.M.A., van Hoogezand, R.J.P., 2004. Stormflow generation in a small rain-forest catchment in the Luquillo Experimental Forest, Puerto Rico. Hydrological Processes 18, 505–530.
  14. Waterloo, M.J., Schellekens, J., Bruijnzeel, L.A., Rawaqa, T.T., 2007. Changes in catchment runoff after harvesting and burning of a Pinus caribaea plantation in Viti Levu, Fiji. For. Ecol. Man. 251. http://dx.doi.org/doi:10.1016/j.foreco.2007.06.050
  15. Wagner WW, V Naeimi, K Scipal, RAM De Jeu, J Martinez Fernandez (2007) Soil Moisture from Operational Meteorological Satellites, Hydrogeology Journal, 15, doi: 10.1007/s10040-006-0104-6.
  16. Wagtendonk AJ and RAM De Jeu (2007) Sensible Field Computing: Evaluating the Use of Mobile GIS Methods in Scientific Fieldwork, Photogrammetric Engineering & Remote Sensing, 73, 651–662.
  17. Werner, M.G., Schellekens, J., Kwadijk, J.C., 2005. Flood early warning systems of hydrological (sub) catchments, in: Encyclopedia of Hydrological Sciences. Wiley, pp. 349–364.
  18. J.V.L. Beckers, C.P. Lowe, S.W. De Leeuw (1998) An iterative PPPM method for simulating Coulombic systems on distributed memory parallel computers. Molecular simulation 20 (6), 369-383