Publication Cover
Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 38, 2012 - Issue 1
69
Views
11
CrossRef citations to date
0
Altmetric
Research Article

Inferring soil moisture variability in the Mediterrean Sea area using infrared and passive microwave observations

, , , , &
Pages 46-59 | Received 16 Sep 2011, Accepted 09 Feb 2012, Published online: 04 Jun 2014

References

  • Aires, F., Prigent, C., and Rossow, W.B. 2005. Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale. II: Global statistical relationships. Journal of Geophysical Research, Vol. 110, pp. 1–14. doi 10.1029/2004JD005094.
  • Albergel, C., Rüdiger, C., Pellarin, T., Calvet, J.C., Fritz, N., Froissard, F., Suquia, D., Petitpa, A., Piguet, B., and Martin, E. 2008. From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on insitu observations and model simulations. Hydrololgy and Earth Systems Science, Vol. 12, pp. 1323–1337. doi: 10.5194/hess-12-1323-2008.
  • Cai, G., Xue, Y., Hu, Y., Wang, Y., Guo, J., Luo, Y., Wu, C., Zhong, S., and Qi, S. 2007. Soil moisture retrieval from MODIS data in Northern China Plain using thermal inertia model. International Journal of Remote Sensing, Vol. 28, No. 16, pp. 3567–3581. doi: 10.1080/01431160601034886.
  • Casarano, D., De Carolis, G., Mattia, F., Notarnicola, C., Posa, F., Refice, A., Schena, V.D., Sergi, R. and Smacchia, P. SIR-C/X-SAR data calibration and ground truth campaign over the Nasa-CB1 test site. Il Nuovo Cimento. 2001. Vol. 24C, No. 1, pp. 11-23.
  • Ceballos, A., Scipal, K., Wagner, W., and Martinez-Fernandez, L. 2005. Validation of ERS scatterometer-derived soil moisture in the central part of the Duero Basin, Spain. Hydrological Processes, Vol. 19, No. 8, pp. 1549–1566. doi: 10.1002/hyp.5585.
  • Dorigo, W., Hahn, S., Hohensinn, R., Paulik, C., Wagner, W., Drusch, M. and van Oevelen, P. The international soil moisture network-a data hosting facility for in situ soil moisture measurements in support of SMOS cal/val. Geophysical Research Abstract. 2010. Vol. 12, pp. EGU2010-12063.
  • Entekhabi, D., Njoku, E., O'Neill, P., Kellogg, K., Crow, W., Edelstein, W., Entin, J., Goodman, S., Jackson, T., Johnson, J.,Kimball, J., Piepmeier, J., Koster, R., Martin, N., McDonald, K.,Moghaddam, M., Moran, S., Reichle, R., Shi, J., Spencer, M., Thurman, S., Tsang, L., and van Zyl, J. 2010. The soil moisture activepassive (SMAP) mission. Proceedings of the IEEE, Vol. 98, pp. 704–716. doi: 10.1109/JPROC.2010.2043918.
  • Hain, C.R. 2010. Developing a dual assimilation approach for thermal infrared and passive microwave soil moisture retrievals Ph.D., The University of Albama in Huntsville. 218 p.
  • Jain, A., and Dubes, R., 1988. Algorithms for Clustering Data. Prentice-Hall, Englewood Cliffs, NJ.
  • Liang, S. 2000. Narrow to broadband conversions of land surface albedo I algorithm. Remote Sensing of Environment, Vol. 76, pp. 213–238. doi: 10.1016/S0034-4257(00)00205-4.
  • Ma, A.N., and Xue, Y. 1990. A study of remote sensing information model of soil moisture, Proc. Of the 11th Asian Conference on Remote Sensing, 15–21 November I, pp. P-11-1–P-11-5.
  • Moran, M.S., Hymer, D.C., Qi, J., and Sano, E.E. 2000. Soil moisture evaluation using multi-temporal synthetic aperture radar (SAR) in semiarid rangeland. Agriculture and Forest Meteorology, Vol. 105, pp. 69–80. doi: 10.1016/S0168-1923(00)00189-1.
  • Njoku, E.G., Jackson, T.J., Lakshmi, V., Chan, T.K., and Nghiem, S.V. 2003, Soil moisture retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, No. 2, pp. 215–229. doi: 10.1109/TGRS.2002.808243.
  • Price, J.C. 1977. Thermal inertia mapping: a new view of the earth. Journal of Geophysical Research, Vol. 82, pp. 2582–2590. doi: 10.1029/JC082i018p02582.
  • Prigent, C., Aires, F., Rossow, W. B., and Robock, A. 2005. Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale. I: Satellite observations and their relations to in situ soil moisture measurements. Journal of Geophysical Research,Vol. 110. doi: 10.1029/2004JD005094.
  • Scheidt, S., Ramsey, M., and Lancaster, N. 2010. Determining soil moisture and sediment availability at white sands dune field, NM from apparent thermal inertia. Journal of Geophysical Research – Earth Surface. doi: 10.1029/2009JF001378.
  • Temimi, M., Romanov, P., Ghedira, H.H., Khanbilvardi, R., and Smith, K. 2011. An automated approach for determining sea-ice concentration for the future GOES-R ABI sensor. International Journal of Remote Sensing, Vol. 32, No. 6, pp. 1575–1593. doi: 10.1080/01431160903578820.
  • Temimi, M., Leconte, R., et al. 2007. Flood and soil wetness monitoring over the Mackenzie River Basin using AMSR-E 37 GHz brightness temperature. Journal of Hydrology, Vol. 333, No. 2–4, pp. 317–328. doi: 10.1016/j.jhydrol.2006.09.002.
  • Temimi, M., Leconte, R., et al. 2010. A combination of remote sensing data and topographic attributes for the spatial and temporal monitoring of soil wetness. Journal of Hydrology, Vol. 388, No. 1–2, pp. 28–40. doi: 10.1016/j.jhydrol.2010.04.021.
  • Tramutoli, V., Claps, P., and Marella, M. 2001. Hydrological implications of remotely sensed thermal inertia. Remote sensing and Hydrology 2000, IAHS Publ. n.267.
  • Verstaeten, W.W., Veroustraete, F., van der Sande, C.J., Grootaers I., and Feyen, J. 2006. Soil moisture retrieval using thermal inertia, determined with visible and thermal spaceborne data, validated for European forest. Remote Sensing of Environment. Vol. 101, pp. 299–314. doi: 10.1016/j.rse.2005.12.016.
  • Wan, Z., Zhang, Y., Zhang, Q., and Li, Z. 2004. Quality assessment and validation of the MODIS global land surface temperature. International Journal of Remote Sensing, Vol. 25, No. 1, pp. 261–274. doi: 10.1080/0143116031000116417.
  • Wagner, W., Lemoine, G., and Rott, H.H. 1999. A method for estimating soil moisture from ERS scatterometer and soil data. Remote Sensing of Environment, Vol. 70, pp. 191–207. doi: 10.1016/S0034-4257(99)00036-X.
  • Xue, Y., and Crackwell, A.P. 1995. Advanced thermal inertia modeling. International Journal of Remote Sensing, Vol. 16, pp. 431–446. doi: 10.1080/01431169508954411.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.