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Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation

The vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. Methods for spatial estimation of this variable still need to be improved. The integration of remotely sensed data of land surface temperature (LST) and water vegetation indic...

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Detalles Bibliográficos
Autores principales: Holzman, Mauro, Rivas, Raúl, Bayala, Martín, Pasapera, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744747/
https://www.ncbi.nlm.nih.gov/pubmed/33354519
http://dx.doi.org/10.1016/j.mex.2020.101172
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author Holzman, Mauro
Rivas, Raúl
Bayala, Martín
Pasapera, José
author_facet Holzman, Mauro
Rivas, Raúl
Bayala, Martín
Pasapera, José
author_sort Holzman, Mauro
collection PubMed
description The vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. Methods for spatial estimation of this variable still need to be improved. The integration of remotely sensed data of land surface temperature (LST) and water vegetation indices based on near-infrared (NIR) and short-wave infrared (SWIR) reflectance for estimation of vegetation water content and water available for evapotranspiration require more analysis. This study contains a detailed method and measurements of LST, NIR and SWIR reflectance of soybean, corn and barley taken in field campaigns in central Argentine Pampas and laboratory with a ST PRO Raytek (8–14 µm) and a spectrometer SVC HR-1024i (0.35 and 2.5 µm). Also, relative water content of leaves was measured in laboratory during the dehydration process. This method and dataset could be also used for researching other wavelengths between 0.35 and 2.5 µm as indicator of water vegetation status (e.g. solar-induced chlorophyll fluorescence, photosynthesis). • Procedures useful to measure field spectra of vegetation are presented. • Not only the traditional method to measure leaves spectra in laboratory, but also in field were applied. • The method allows the integration of spectra and thermal data as a proxy of vegetation water status.
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spelling pubmed-77447472020-12-21 Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation Holzman, Mauro Rivas, Raúl Bayala, Martín Pasapera, José MethodsX Method Article The vegetation water status is a crucial variable for modelling of drought impact, vegetation productivity and water fluxes. Methods for spatial estimation of this variable still need to be improved. The integration of remotely sensed data of land surface temperature (LST) and water vegetation indices based on near-infrared (NIR) and short-wave infrared (SWIR) reflectance for estimation of vegetation water content and water available for evapotranspiration require more analysis. This study contains a detailed method and measurements of LST, NIR and SWIR reflectance of soybean, corn and barley taken in field campaigns in central Argentine Pampas and laboratory with a ST PRO Raytek (8–14 µm) and a spectrometer SVC HR-1024i (0.35 and 2.5 µm). Also, relative water content of leaves was measured in laboratory during the dehydration process. This method and dataset could be also used for researching other wavelengths between 0.35 and 2.5 µm as indicator of water vegetation status (e.g. solar-induced chlorophyll fluorescence, photosynthesis). • Procedures useful to measure field spectra of vegetation are presented. • Not only the traditional method to measure leaves spectra in laboratory, but also in field were applied. • The method allows the integration of spectra and thermal data as a proxy of vegetation water status. Elsevier 2020-12-09 /pmc/articles/PMC7744747/ /pubmed/33354519 http://dx.doi.org/10.1016/j.mex.2020.101172 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Holzman, Mauro
Rivas, Raúl
Bayala, Martín
Pasapera, José
Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_full Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_fullStr Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_full_unstemmed Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_short Measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
title_sort measuring land surface temperature, near-infrared and short-wave infrared reflectance for estimation of water availability in vegetation
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744747/
https://www.ncbi.nlm.nih.gov/pubmed/33354519
http://dx.doi.org/10.1016/j.mex.2020.101172
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