Hydrology and Earth System Sciences www.hydrol-earth-syst-sci.net 1027-5606 1607-7938 13 6 2009 10.5194/hess-13-813-2009 http://www.hydrol-earth-syst-sci.net/13/813/2009/ http://www.hydrol-earth-syst-sci.net/13/813/2009/hess-13-813-2009.html http://www.hydrol-earth-syst-sci.net/13/813/2009/hess-13-813-2009.pdf 813 817 2009-06-18 Editorial "Remote sensing in hydrological sciences" W. Wagner ww@ipf.tuwien.ac.at N. E. C. Verhoest R. Ludwig M. Tedesco Christian Doppler Laboratory at the Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Vienna, Austria Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium Department of Geography, Ludwig-Maximilians-Universität München, Munich, Germany City University of New York, USA No abstract available. Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.-C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., and Martin, E.: From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations, Hydrol. Earth Syst. Sci., 12, 1323–1337, 2008. Albergel, C., Rüdiger, C., Carrer, D., Calvet, J.-C., Fritz, N., Naeimi, V., Bartalis, Z., and Hasenauer, S.: An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France, Hydrol. Earth Syst. Sci., 13, 115–124, 2009. Bartalis, Z., Wagner, W., Naeimi, V., Hasenauer, S., Scipal, K., Bonekamp, H., Figa, J., and Anderson, C.: Initial soil moisture retrievals from the METOP-A Advanced Scatterometer (ASCAT), Geophy. Res. Lett, 34, L20401, doi:10.1029/2007GL031088, 2007. Beven, K.: How far can we go in distributed hydrological modelling?, Hydrol. Earth Syst. Sci., 5, 1–12, 2001. Bretar, F., Chauve, A., Bailly, J.-S., Mallet, C., and Jacome, A.: Terrain surfaces and 3-D landcover classification from small footprint full-waveform lidar data: application to badlands, Hydrol. Earth Syst. Sci. Discuss., 6, 151–205, 2009. Brocca, L., Melone, F., Moramarco, T., and Morbidelli, R.: Antecedent wetness conditions based on ERS scatterometer data, J. Hydrol., 364, 73–87, 2009. Crow, W. T. and Ryu, D.: A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals, Hydrol. Earth Syst. Sci., 13, 1–16, 2009. Dozier, J., Painter, T. H., Rittger, K., and Frew, J. E.: Time-space continuity of daily maps of fractional snow cover and albedo from MODIS, Adv. Water Resour., 31, 1515–1526, 2008. Flood, M.: Laser altimetry: from science to commercial lidar mapping, Photogramm. Eng. Rem. S., 67, 1209–1217, 2001. Gafurov, A. and Bárdossy, A.: Snow cover data derived from MODIS for water balance applications, Hydrol. Earth Syst. Sci. Discuss., 6, 791–841, 2009. Kalma, J. D., McVicar, T. R., and McCabe, M. F.: Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data, Surv. Geophys., 421–469, 2008. Kramer, H. J.: Observation of the Earth and its Environment, Survey of Missions and Sensors, 4th Ed., Springer, Berlin, 1510 pp., 2002. Laguardia, G. and Niemeyer, S.: On the comparison between the LISFLOOD modelled and the ERS/SCAT derived soil moisture estimates, Hydrol. Earth Syst. Sci., 12, 1339–1351, 2008. Liu, S., Mo, X., Zhao, W., Naeimi, V., Dai, D., Shu, C., and Mao, L.: Temporal variation of soil moisture over the Wuding River Basin assessed with an eco-hydrological model, in-situ observations and remote sensing, Hydrol. Earth Syst. Sci. Discuss., 5, 3557–3604, 2008. Ma, Weiqiang, Ma, Yaoming, Li, Maoshan, Hu, Zeyong, Zhong, Lei, Su, Zhongbo, Ishikawa, Hirohiko, and Wang, Jiemin: Estimating surface fluxes over the north Tibetan Plateau area with ASTER imagery, Hydrol. Earth Syst. Sci., 13, 57–67, 2009. Marzahn, P. and Ludwig, R.: On the derivation of soil surface roughness from multi parametric PolSAR data and its potential for hydrological modeling, Hydrol. Earth Syst. Sci., 13, 381–394, 2009. Mandlburger, G., Hauer, C., Höfle, B., Habersack, H., and Pfeifer, N.: Optimisation of LiDAR derived terrain models for river flow modelling, Hydrol. Earth Syst. Sci. Discuss., 5, 3605–3638, 2008. Mattia, F., Satalino, G., Pauwels, V. R. N., and Loew, A.: Soil moisture retrieval through a merging of multi-temporal L-band SAR data and hydrologic modelling, Hydrol. Earth Syst. Sci., 13, 343–356, 2009. Montanari, M., Hostache, R., Matgen, P., Schumann, G., Pfister, L., and Hoffmann, L.: Calibration and sequential updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages, Hydrol. Earth Syst. Sci., 13, 367–380, 2009. Parajka, J. and Blöschl, G.: Validation of MODIS snow cover images over Austria, Hydrol. Earth Syst. Sci., 10, 679–689, 2006. Parajka, J., Naeimi, V., Blöschl, G., and Komma, J.: Matching ERS scatterometer based soil moisture patterns with simulations of a conceptual dual layer hydrologic model over Austria, Hydrol. Earth Syst. Sci., 13, 259–271, 2009. Paris Anguela, T., Zribi, M., Hasenauer, S., Habets, F., and Loumagne, C.: Analysis of surface and root-zone soil moisture dynamics with ERS scatterometer and the hydrometeorological model SAFRAN-ISBA-MODCOU at Grand Morin watershed (France), Hydrol. Earth Syst. Sci., 12, 1415–1424, 2008. Popper, K.: Logik der Forschung, 9 ed., J.C.B. Mohr (Paul Siebeck), Tübingen, 477 pp., 1989. Savenije, H. H. G.: HESS Opinions "The art of hydrology", Hydrol. Earth Syst. Sci., 13, 157–161, 2009. Sivapalan, M., Takeuchi, K., Franks, S. W., Gupta, V. K., Karambiri, H., Lakshmi, V., Liang, X., McDonnell, J. J., Mendiondo, E. M., O'Connell, P. E., Oki, T., Pomeroy, J. W., Schertzer, D., Uhlenbrook, S., and Zehe, E.: IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrologic sciences, Hydrolog. Sci. J., 48, 857–880, 2003. Wagner, W., Blöschl, G., Pampaloni, P., Calvet, J.-C., Bizzarri, B., Wigneron, J.-P., and Kerr, Y.: Operational readiness of microwave remote sensing of soil moisture for hydrologic applications, Nord. Hydrol., 38, 1–20, 2007. Wagner, W., Hollaus, M., Briese, C., and Ducic, V.: 3D vegetation mapping using small-footprint full-waveform airborne laser scanners, Int. J. Remote Sens., 29, 1433–1452, 2008. Zwenzner, H. and Voigt, S.: Improved estimation of flood parameters by combining space based SAR data with very high resolution digital elevation data, Hydrol. Earth Syst. Sci., 13, 567–576, 2009.