@article{fdi:010071445,
  title = {{T}owards soil property retrieval from space : an application with disaggregated satellite observations},
  author = {{B}andara, {R}. and {W}alker, {J}. {P}. and {R}udiger, {C}. and {M}erlin, {O}livier},
  editor = {},
  language = {{ENG}},
  abstract = {{S}oil moisture plays a key role in most environmental processes, as evaporation and transpiration are heavily dependent on soil moisture variability. {W}hile it is one of the few important hydrological variables that can be directly observed, the high spatial and temporal variability makes it difficult to measure globally or even regionally. {R}eliance is therefore placed on land surface models to predict the evolution of soil moisture using low-resolution soil property information or typical values. {B}ut to make predictions with the required accuracy, more reliable and detailed soil parameter data are required than those currently available. {T}his paper demonstrates the ability to retrieve soil hydraulic parameters from near-surface measurements, using {S}oil {M}oisture and {O}cean {S}alinity ({SMOS}) observations disaggregated to 1 km resolution for a demonstration area the size of a single {SMOS} footprint. {T}he disaggregated soil moisture product was first assessed against in-situ soil moisture observations, before testing the retrieval methodology using the disaggregated soil moisture data for individual soil columns co-located with three long-term monitoring sites in the {M}urrumbidgee {C}atchment. {T}he retrieval methodology was then applied to the entire 40 km x 40 km demonstration area at 5 km spatial resolution. {T}he results suggest that spatially variable soil hydraulic properties exist in the study area, while published soil texture maps show only a single soil type, meaning that a single set of soil hydraulic parameters would normally be used in soil moisture prediction models for this region. {U}se of a single set of soil hydraulic parameters, rather than the spatially variables ones, was estimated to have an approximate 0.06 m(3)/m(3) impact on the soil moisture prediction.},
  keywords = {{S}oil hydraulic parameters ; {S}patial retrieval ; {JULES} ; {L}and surface ; modelling ; {DISPATCH} ; {AUSTRALIE}},
  booktitle = {},
  journal = {{J}ournal of {H}ydrology},
  volume = {522},
  numero = {},
  pages = {582--593},
  ISSN = {0022-1694},
  year = {2015},
  DOI = {10.1016/j.jhydrol.2015.01.018},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071445},
}