The Relevance of Soil Moisture by Remote Sensing and Hydrological Modelling: 12th International Conference on Hydroinformatics (HIC 2016) - Smart Water for the Future

Lu Zhuo, Dawei Han

Research output: Contribution to journalSpecial issue (Academic Journal)peer-review

11 Citations (Scopus)
396 Downloads (Pure)

Abstract

Abstract Accurate soil moisture information is critically important for hydrological modelling and natural hazards (landslide & debris flow). However, its effective utilisation in those areas is still in a state of infancy. This paper focuses on exploring the advances and potential issues in current application of satellite soil moisture observations in hydrological modelling. It has proposed that hydrological application of soil moisture data requires two inter-connected components: 1) soil moisture data relevant to hydrology, and 2) appropriate hydrological model structure compatible with such data. In order to meet these two requirements, the following three research tasks are suggested: the first is to carry out comprehensive evaluations of satellite soil moisture observations for hydrological modelling; the second is that the soil moisture representations in hydrological models may need to be modified so that they are more compatible with the real field soil moisture variations; and the third is that a soil moisture product (i.e., soil moisture deficit) directly applicable to hydrological modelling should be developed.
Original languageEnglish
Pages (from-to)1368-1375
Number of pages8
JournalProcedia Engineering
Volume154
Early online date24 Aug 2016
DOIs
Publication statusPublished - 2016

Bibliographical note

Conference proceeding.

Keywords

  • Soil moisture
  • Satellite remote sensing
  • Hydrological modelling ;

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