Publications des scientifiques de l'IRD

Ochsner T. E., Cosh M. H., Cuenca R. H., Dorigo W. A., Draper C. S., Hagimoto Y., Kerr Yann, Larson K. M., Njoku E. G., Small E. E., Zreda M. (2013). State of the art in large-scale soil moisture monitoring. Soil Science Society of America Journal, 77 (6), p. 1888-1919. ISSN 0361-5995.

Titre du document
State of the art in large-scale soil moisture monitoring
Année de publication
2013
Type de document
Article référencé dans le Web of Science WOS:000327024500002
Auteurs
Ochsner T. E., Cosh M. H., Cuenca R. H., Dorigo W. A., Draper C. S., Hagimoto Y., Kerr Yann, Larson K. M., Njoku E. G., Small E. E., Zreda M.
Source
Soil Science Society of America Journal, 2013, 77 (6), p. 1888-1919 ISSN 0361-5995
Soil moisture is an essential climate variable influencing land-atmosphere interactions, an essential hydrologic variable impacting rainfall-runoff processes, an essential ecological variable regulating net ecosystem exchange, and an essential agricultural variable constraining food security. Large-scale soil moisture monitoring has advanced in recent years, creating opportunities to transform scientific understanding of soil moisture and related processes. These advances are being driven by researchers from a broad range of disciplines, but this complicates collaboration and communication; and, for some applications, the science required to utilize large-scale soil moisture data is poorly developed. In this review, we describe the state of the art in large-scale soil moisture monitoring and identify some critical needs for research to optimize the use of increasingly available soil moisture data. We review representative examples of (i) emerging in situ and proximal sensing techniques, (ii) dedicated soil moisture remote sensing missions, (iii) soil moisture monitoring networks, and (iv) applications of large-scale soil moisture measurements. Significant near-term progress seems possible in the use of large-scale soil moisture data for drought monitoring. Assimilation of soil moisture data for meteorological or hydrologic forecasting also shows promise, but significant challenges related to spatial variability and model structures remain. Little progress has been made in the use of large-scale soil moisture observations within the context of ecological or agricultural modeling. Opportunities abound to advance the science and practice of large-scale soil moisture monitoring for the sake of improved Earth system monitoring, modeling, and forecasting.
Plan de classement
Bioclimatologie [072] ; Télédétection [126]
Identifiant IRD
PAR00011179
Contact