Articles | Volume 20, issue 8
https://doi.org/10.5194/hess-20-3361-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3361-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
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
Department of Water Resources Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand
Hongkai Gao
Water Resources Section, Delft University of Technology, Delft, the Netherlands
Hubert H. G. Savenije
CORRESPONDING AUTHOR
Water Resources Section, Delft University of Technology, Delft, the Netherlands
Ekkarin Maekan
Department of Water Resources Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand
Sirikanya Saengsawang
Department of Water Resources Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand
Sansarith Thianpopirug
Department of Water Resources Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand
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Latest update: 15 Jun 2025
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...
