Modeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI)

The conventional Land Surface Temperature (LST)–Normalized Difference Vegetation Index (NDVI) trapezoid model has been widely used to retrieve vegetation water stress. However, it has two inherent limitations: (1) its complex and computationally intensive parameterization for multi-temporal observat...

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Autores principales:	Rakesh Chandra Joshi, Dongryeol Ryu, Gary J. Sheridan, Patrick N. J. Lane
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Moderate Resolution Imaging Spectroradiometer (MODIS) soil moisture vegetation water stress LST–NDVI trapezoid AWRA-L Temperature Vegetation Water Stress Index (TVWSI) Science Q
Acceso en línea:	https://doaj.org/article/4aaff8dced7b45469dce7837b8c3a6c3
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id	oai:doaj.org-article:4aaff8dced7b45469dce7837b8c3a6c3
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spelling	oai:doaj.org-article:4aaff8dced7b45469dce7837b8c3a6c32021-11-25T18:54:57ZModeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI)10.3390/rs132246352072-4292https://doaj.org/article/4aaff8dced7b45469dce7837b8c3a6c32021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4635https://doaj.org/toc/2072-4292The conventional Land Surface Temperature (LST)–Normalized Difference Vegetation Index (NDVI) trapezoid model has been widely used to retrieve vegetation water stress. However, it has two inherent limitations: (1) its complex and computationally intensive parameterization for multi-temporal observations and (2) deficiency in canopy water content information. We tested the hypothesis that an improved water stress index could be constructed by the representation of canopy water content information to the LST–NDVI trapezoid model. Therefore, this study proposes a new index that combines three indicators associated with vegetation water stress: canopy temperature through LST, canopy water content through Surface Water Content Index (SWCI), and canopy fractional cover through NDVI in one temporally transferrable index. Firstly, a new optical space of SWCI–NDVI was conceptualized based on the linear physical relationship between shortwave infrared (SWIR) and soil moisture. Secondly, the SWCI–NDVI feature space was parameterized, and an index d(SWCI, NDVI) was computed based on the distribution of the observations in the SWCI–NDVI spectral space. Finally, standardized LST (LST/long term mean of LST) was combined to d(SWCI, NDVI) to give a new water stress index, Temperature Vegetation Water Stress Index (TVWSI). The modeled soil moisture from the Australian Water Resource Assessment—Landscape (AWRA-L) and Soil Water Fraction (SWF) from four FLUXNET sites across Victoria and New South Wales were used to evaluate TVWSI. The index TVWSI exhibited a high correlation with AWRA-L soil moisture (R<sup>2</sup> of 0.71 with <i>p</i> < 0.001) and the ground-based SWF (R<sup>2</sup> of 0.25–0.51 with <i>p</i> < 0.001). TVWSI predicted soil moisture more accurately with RMSE of 21.82 mm (AWRA-L) and 0.02–0.04 (SWF) compared to the RMSE ranging 28.98–36.68 mm (AWRA-L) and 0.03–0.05 (SWF) were obtained for some widely used water stress indices. The TVWSI could also be a useful input parameter for other environmental models.Rakesh Chandra JoshiDongryeol RyuGary J. SheridanPatrick N. J. LaneMDPI AGarticleModerate Resolution Imaging Spectroradiometer (MODIS)soil moisturevegetation water stressLST–NDVI trapezoidAWRA-LTemperature Vegetation Water Stress Index (TVWSI)ScienceQENRemote Sensing, Vol 13, Iss 4635, p 4635 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Moderate Resolution Imaging Spectroradiometer (MODIS) soil moisture vegetation water stress LST–NDVI trapezoid AWRA-L Temperature Vegetation Water Stress Index (TVWSI) Science Q
spellingShingle	Moderate Resolution Imaging Spectroradiometer (MODIS) soil moisture vegetation water stress LST–NDVI trapezoid AWRA-L Temperature Vegetation Water Stress Index (TVWSI) Science Q Rakesh Chandra Joshi Dongryeol Ryu Gary J. Sheridan Patrick N. J. Lane Modeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI)
description	The conventional Land Surface Temperature (LST)–Normalized Difference Vegetation Index (NDVI) trapezoid model has been widely used to retrieve vegetation water stress. However, it has two inherent limitations: (1) its complex and computationally intensive parameterization for multi-temporal observations and (2) deficiency in canopy water content information. We tested the hypothesis that an improved water stress index could be constructed by the representation of canopy water content information to the LST–NDVI trapezoid model. Therefore, this study proposes a new index that combines three indicators associated with vegetation water stress: canopy temperature through LST, canopy water content through Surface Water Content Index (SWCI), and canopy fractional cover through NDVI in one temporally transferrable index. Firstly, a new optical space of SWCI–NDVI was conceptualized based on the linear physical relationship between shortwave infrared (SWIR) and soil moisture. Secondly, the SWCI–NDVI feature space was parameterized, and an index d(SWCI, NDVI) was computed based on the distribution of the observations in the SWCI–NDVI spectral space. Finally, standardized LST (LST/long term mean of LST) was combined to d(SWCI, NDVI) to give a new water stress index, Temperature Vegetation Water Stress Index (TVWSI). The modeled soil moisture from the Australian Water Resource Assessment—Landscape (AWRA-L) and Soil Water Fraction (SWF) from four FLUXNET sites across Victoria and New South Wales were used to evaluate TVWSI. The index TVWSI exhibited a high correlation with AWRA-L soil moisture (R<sup>2</sup> of 0.71 with <i>p</i> < 0.001) and the ground-based SWF (R<sup>2</sup> of 0.25–0.51 with <i>p</i> < 0.001). TVWSI predicted soil moisture more accurately with RMSE of 21.82 mm (AWRA-L) and 0.02–0.04 (SWF) compared to the RMSE ranging 28.98–36.68 mm (AWRA-L) and 0.03–0.05 (SWF) were obtained for some widely used water stress indices. The TVWSI could also be a useful input parameter for other environmental models.
format	article
author	Rakesh Chandra Joshi Dongryeol Ryu Gary J. Sheridan Patrick N. J. Lane
author_facet	Rakesh Chandra Joshi Dongryeol Ryu Gary J. Sheridan Patrick N. J. Lane
author_sort	Rakesh Chandra Joshi
title	Modeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI)
title_short	Modeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI)
title_full	Modeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI)
title_fullStr	Modeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI)
title_full_unstemmed	Modeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI)
title_sort	modeling vegetation water stress over the forest from space: temperature vegetation water stress index (tvwsi)
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4aaff8dced7b45469dce7837b8c3a6c3
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Modeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI)

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