Multi-scale surface roughness model for soil moisture retrieval Conference Paper uri icon


  • 2017 IEEE. The SMOS, and SMAP retrievals are not only influenced by soil moisture, vegetation but also highly sensitive to surface roughness. The current retrieval algorithms use roughness models and parameterization developed at field scale to estimate soil moisture at satellite footprint. These models ignored large scale roughness features due to differences in elevation, concavity etc., observed within the satellite footprint. In this study, it is hypothesized that the satellite observed surface roughness is contributed by micro-roughness (small-scale roughness) and macro-roughness (large-scale roughness), incorporating the scattering features observed at field and satellite scale. The traditional algorithm is used to retrieve soil moisture for SMAPVEX12 (Soil Moisture Active Passive Validation Experiment, 2012), and SMAPVEX15 the field experiments.

name of conference

  • 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

published proceedings

  • 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

author list (cited authors)

  • Neelam, M., Colliander, A., Mohanty, B. P., Jackson, T. J., Cosh, M. H., & Misra, S.

citation count

  • 1

complete list of authors

  • Neelam, Maheshwari||Colliander, Andreas||Mohanty, Binayak P||Jackson, Thomas J||Cosh, Michael H||Misra, Sidharth

publication date

  • July 2017