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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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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.
Articles | Volume 20, issue 8
Hydrol. Earth Syst. Sci., 20, 3361–3377, 2016
https://doi.org/10.5194/hess-20-3361-2016
Hydrol. Earth Syst. Sci., 20, 3361–3377, 2016
https://doi.org/10.5194/hess-20-3361-2016

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.

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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.
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