Investigating MODIS-Derived Vegetation Metrics Integration with Modelling to Predict Plant Available Water in a Data-Scarce Humid Subtropic Paddock of Australia.

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Title: Investigating MODIS-Derived Vegetation Metrics Integration with Modelling to Predict Plant Available Water in a Data-Scarce Humid Subtropic Paddock of Australia.
Authors: Rawat, M.1 (AUTHOR) Monika.Rawat@unisq.edu.au, Nguyen-Huy, T.2 (AUTHOR), Ali, A.3 (AUTHOR), Ghahramani, A.4 (AUTHOR)
Source: Journal of Environmental Informatics. Mar2026, Vol. 47 Issue 1, p1-20. 20p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 193171406
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Investigating MODIS-Derived Vegetation Metrics Integration with Modelling to Predict Plant Available Water in a Data-Scarce Humid Subtropic Paddock of Australia.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Environmental+Informatics%22">Journal of Environmental Informatics</searchLink>. Mar2026, Vol. 47 Issue 1, p1-20. 20p.
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      – Type: doi
        Value: 10.3808/jei.202600554
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      – Code: eng
        Text: English
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      – TitleFull: Investigating MODIS-Derived Vegetation Metrics Integration with Modelling to Predict Plant Available Water in a Data-Scarce Humid Subtropic Paddock of Australia.
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            NameFull: Rawat, M.
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            NameFull: Nguyen-Huy, T.
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            NameFull: Ali, A.
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              Text: Mar2026
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              Y: 2026
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