407
Global Soil Moisture Estimation Using Microwave Remote Sensing
introduced, and mainstream soil moisture satellite missions such as Aqua, SMOS,
and SMAP are described. With the all-weather capabilities of microwave satellite
remote sensing, these instruments render the unique opportunity for research and
applications. Nevertheless, ground validation of satellite-derived data is a crucial
aspect of these earth observation missions.
The availability of global daily soil moisture products provided by satellite
remote sensing undoubtedly have substantial potential to improve global energy and
water cycle studies. However, the utility of these observations has not been fully
employed in hydrologic applications. One reason is the relatively coarser spatial
resolution of these estimates, which range up to tens of kilometers. Nonetheless, to
take full advantage of the future missions such as the SMAP Mission, to be launched
in 2014, innovative new algorithms to assimilate the soil moisture products into
physics-based hydrologic models are needed. It is anticipated that the more accurate and higher resolution measurements of soil moisture and soil freeze/thaw states
from SMAP will improve our understanding of regional water balance, ecological
productivity, and hydrological processes that connect the energy, water, and carbon
cycles.
REFERENCES
Baghdadi, N., Zribi, M., Loumagne, C., Ansart, P., and Anguela, T. P. (2008). Analysis of
TerraSAR-X data and their sensitivity to soil surface parameters over bare agricultural
fields. Remote Sensing of Environment, 112(12), 4370–4379.
Bayle, F., Wigneron, J. P., Kerr, Y. H., Waldteufel, P., Anterrieu, E., Orlhac, J. C., Chanzy, A.,
Marloie, O., Bernardini, M., and Sobjaerg, S. (2002). Two-dimensional synthetic aperture images over a land surface scene. IEEE Transactions on Geoscience and Remote
Sensing, 40(3), 710–714.
Behari, J. (2005). Microwave Dielectric Behavior of Wet Soils. Springer, New York: Kluwer
Academic Publishers.
Betts, A. K., Ball, J. H., Beljaars, A. C. M., Miller, M. J., and Viterbo, P. A. (1996). The land
surface–atmosphere interaction: A review based on observational and global modeling
perspectives. Journal of Geophysical Research, 101(D3), 7209–7225.
Brown, R. J., Manore, M. J., and Poirier, S. (1992). Correlations between X-, C-, and L-band
imagery within an agricultural environment. International Journal of Remote Sensing,
13(9), 1645–1661.
Das, N., Entekhabi, D., and Njoku, E. (2011). An algorithm for merging SMAP radiometer and
radar data for high resolution soil moisture retrieval. IEEE Transactions on Geoscience
and Remote Sensing, 49(5), 1504–1512.
Delwart, S., Bouzinac, C., Wursteisen, P., Berger, M., Drinkwater, M., Martin-Neira, M., and
Kerr, Y. H. (2008). SMOS validation and the COSMOS campaigns. IEEE Transactions
on Geoscience and Remote Sensing, 46(3), 695–704.
Engman, E. T. (1991). Applications of microwave remote sensing of soil moisture for water
resources and agriculture. Remote Sensing of Environment, 35(2–3), 213–226.
Engman, E. T. and Chauhan, N. (1995). Status of microwave soil moisture measurements with
remote sensing. Remote Sensing of Environment, 51(1), 189–198.
Entekhabi, D., Nakamura, H., and Njoku, E. G. (1994). Solving the inverse problem for
soil moisture and temperature profiles by sequential assimilation of multifrequency
remotely sensed observations. IEEE Transactions on Geoscience and Remote Sensing,
32(2), 438–448.
Global Soil Moisture Estimation Using Microwave Remote Sensing
introduced, and mainstream soil moisture satellite missions such as Aqua, SMOS,
and SMAP are described. With the all-weather capabilities of microwave satellite
remote sensing, these instruments render the unique opportunity for research and
applications. Nevertheless, ground validation of satellite-derived data is a crucial
aspect of these earth observation missions.
The availability of global daily soil moisture products provided by satellite
remote sensing undoubtedly have substantial potential to improve global energy and
water cycle studies. However, the utility of these observations has not been fully
employed in hydrologic applications. One reason is the relatively coarser spatial
resolution of these estimates, which range up to tens of kilometers. Nonetheless, to
take full advantage of the future missions such as the SMAP Mission, to be launched
in 2014, innovative new algorithms to assimilate the soil moisture products into
physics-based hydrologic models are needed. It is anticipated that the more accurate and higher resolution measurements of soil moisture and soil freeze/thaw states
from SMAP will improve our understanding of regional water balance, ecological
productivity, and hydrological processes that connect the energy, water, and carbon
cycles.
REFERENCES
Baghdadi, N., Zribi, M., Loumagne, C., Ansart, P., and Anguela, T. P. (2008). Analysis of
TerraSAR-X data and their sensitivity to soil surface parameters over bare agricultural
fields. Remote Sensing of Environment, 112(12), 4370–4379.
Bayle, F., Wigneron, J. P., Kerr, Y. H., Waldteufel, P., Anterrieu, E., Orlhac, J. C., Chanzy, A.,
Marloie, O., Bernardini, M., and Sobjaerg, S. (2002). Two-dimensional synthetic aperture images over a land surface scene. IEEE Transactions on Geoscience and Remote
Sensing, 40(3), 710–714.
Behari, J. (2005). Microwave Dielectric Behavior of Wet Soils. Springer, New York: Kluwer
Academic Publishers.
Betts, A. K., Ball, J. H., Beljaars, A. C. M., Miller, M. J., and Viterbo, P. A. (1996). The land
surface–atmosphere interaction: A review based on observational and global modeling
perspectives. Journal of Geophysical Research, 101(D3), 7209–7225.
Brown, R. J., Manore, M. J., and Poirier, S. (1992). Correlations between X-, C-, and L-band
imagery within an agricultural environment. International Journal of Remote Sensing,
13(9), 1645–1661.
Das, N., Entekhabi, D., and Njoku, E. (2011). An algorithm for merging SMAP radiometer and
radar data for high resolution soil moisture retrieval. IEEE Transactions on Geoscience
and Remote Sensing, 49(5), 1504–1512.
Delwart, S., Bouzinac, C., Wursteisen, P., Berger, M., Drinkwater, M., Martin-Neira, M., and
Kerr, Y. H. (2008). SMOS validation and the COSMOS campaigns. IEEE Transactions
on Geoscience and Remote Sensing, 46(3), 695–704.
Engman, E. T. (1991). Applications of microwave remote sensing of soil moisture for water
resources and agriculture. Remote Sensing of Environment, 35(2–3), 213–226.
Engman, E. T. and Chauhan, N. (1995). Status of microwave soil moisture measurements with
remote sensing. Remote Sensing of Environment, 51(1), 189–198.
Entekhabi, D., Nakamura, H., and Njoku, E. G. (1994). Solving the inverse problem for
soil moisture and temperature profiles by sequential assimilation of multifrequency
remotely sensed observations. IEEE Transactions on Geoscience and Remote Sensing,
32(2), 438–448.