Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.936 IF 4.936
  • IF 5-year value: 5.615 IF 5-year
    5.615
  • CiteScore value: 4.94 CiteScore
    4.94
  • SNIP value: 1.612 SNIP 1.612
  • IPP value: 4.70 IPP 4.70
  • SJR value: 2.134 SJR 2.134
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 107 Scimago H
    index 107
  • h5-index value: 63 h5-index 63
Volume 20, issue 8
Hydrol. Earth Syst. Sci., 20, 3361-3377, 2016
https://doi.org/10.5194/hess-20-3361-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 3361-3377, 2016
https://doi.org/10.5194/hess-20-3361-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 Aug 2016

Research article | 23 Aug 2016

Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model

Nutchanart Sriwongsitanon et al.
Viewed  
Total article views: 3,353 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,659 1,610 84 3,353 77 52 76
  • HTML: 1,659
  • PDF: 1,610
  • XML: 84
  • Total: 3,353
  • Supplement: 77
  • BibTeX: 52
  • EndNote: 76
Views and downloads (calculated since 27 Aug 2015)
Cumulative views and downloads (calculated since 27 Aug 2015)
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 17 Jul 2019
Publications Copernicus
Download
Short summary
We demonstrated that the readily available NDII remote sensing product is a very useful proxy for moisture storage in the root zone of vegetation. We compared the temporal variation of the NDII with the root zone storage in a hydrological model of eight catchments in the Upper Ping River in Thailand, yielding very good results. Having a reliable NDII product that can help us to estimate the actual moisture storage in catchments is a major contribution to prediction in ungauged basins.
We demonstrated that the readily available NDII remote sensing product is a very useful proxy...
Citation