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Filtered by keyword:remote sensing

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  1. Brocca, L., S. Hasenauer, T. Lacava, F. Melone, T. Moramarco, W. Wagner, W. Dorigo, P. Matgen, J. Martínez-Fernández, P. Llorens, J. Latron, C. Martin, and M. Bittelli (2011), Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe, Rem. Sen. Env., 115, 3390–3408, doi:10.1016/j.rse.2011.08.003.
  2. Choy, S., K. Zhang, C.-S. Wang, Y. Li, and Y. Kuleshov (2010), Remote Sensing of the Earth's Lower Atmosphere During Severe Weather Events using GPS Technology: a Study in Victoria, Australia, In: Proceedings of the 24th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2011), September 20 - 23, 2010 Oregon Convention Center, Portland, Oregon Portland, OR.
  3. Cracknell, A. P. (1998), Synergy in remote sensing—what's in a pixel?, Int. J. Remote Sensing, 19(11), 2025–2047, doi:10.1080/014311698214848.
  4. Delanoë, J. M. E., A. J. Heymsfield, A. Protat, A. Bansemer, and R. J. Hogan (2014), Normalized particle size distribution for remote sensing application, J. Geophys. Res.: Atm., 119, 4204–4227, doi:10.1002/2013JD020700.
  5. Di Michele, S. and P. Bauer (2006), Passive microwave radiometer channel selection based on cloud and precipitation information content, Q. J. R. Meteorol. Soc., 132(617), 1299–1323, doi:10.1256/qj.05.164.
  6. Diner, D. J., B. H. Braswell, R. Davies, N. Gobron J. Hu, Y. Jin, R. A. Kahn, Y. Knyazikhin, N. Loeb, J.-P. Muller, A. W. Nolin, B. Pinty, C. B. Schaaf, G. Seiz, and J. Stroeve (2005), The value of multiangle measurements for retrieving structurally and radiatively consistent properties of clouds, aerosols, and surfaces, Rem. Sen. Env., 97(4), 495–518, doi:10.1016/j.rse.2005.06.006.
  7. Feldman, D. R., T. S. L'Ecuyer amd K. N. Liou, and Y. L. Yung (2008), Remote sensing of tropical tropopause layer radiation balance using A-train measurements, J. Geophys. Res., 113, D21113, doi:10.1029/2008JD010158.
  8. Kaplan, L. D. (1959), Inference of Atmospheric Structure from Remote Radiation Measurements, J. Optical Soc. o. Am., 49(10), 1004–1007.
  9. Karlsson, K. G. (1997), An Introduction to Remote Sensing in Meteorology, SMHI, ISBN 91-87996-08-1.
  10. Koner, P. K., A. R. Harris, and P. Dash (2016), A Deterministic Method for Profile Retrievals From Hyperspectral Satellite Measurements, IEEE T. Geosci. Remote, 54(10), 5657–5670, doi:10.1109/TGRS.2016.2565722.
  11. Kulie, M. S., R. Bennartz, T. J. Greenwald, Y. Chen, and F. Weng (2010), Uncertainties in Microwave Properties of Frozen Precipitation: Implications for Remote Sensing and Data Assimilation, J. Atmos. Sci., 67(11), 3471–3487.
  12. Rees, W. G. (2001), Physical Principles of Remote Sensing, Cambridge university press, ISBN 978-0-521-66948-1.
  13. Stephens, P. J. and A. S. Jones (2007), Geometrical Variations of Gain Patterns, IEEE T. Geosci. Remote, 45(2), 376–382, doi:10.1109/TGRS.2006.887016.
  14. Stephens, G. L. and C. D. Kummerow (2007), The Remote Sensing of Clouds and Precipitation from Space: A Review, J. Atmos. Sci., 64(11), 3742–3765, doi:10.1175/2006JAS2375.1.
  15. Sussmann, R., T. Borsdorff, M. Rettinger, C. Camy-Peyret, P. Demoulin, P. Duchatelet, E. Mahieu, and C. Servais (2009), Technical Note: Harmonized retrieval of column-integrated atmospheric water vapor from the FTIR network — First examples for long-term records and station trends, Atmos. Chem. Phys., 9(22), 8987–8999, doi:10.5194/acp-9-8987-2009.
  16. Tian, M., X. Zou, and F. Weng (2015), Use of Allan Deviation for Characterizing Satellite Microwave Sounder Noise Equivalent Differential Temperature (NEDT), IEEE Geosci. Remote Sens. Let., 12(12), 2477–2480, doi:10.1109/LGRS.2015.2485945.
  17. Zhang, Z., S. Platnick, P. Yang, A. K. Heidinger, and J. M. Comstock (2010), Effects of ice particle size vertical inhomogeneity on the passive remote sensing of ice clouds, J. Geophys. Res., 115, D17203, doi:10.1029/2010JD013835.