Proximal-Sensing-Powered Modelling of Energy-Water Fluxes in a Vineyard: A Spatial Resolution Analysis

Spatial resolution is a key parameter in energy–water surface flux modelling. In this research, scale effects are analyzed on fluxes modelled with the FEST-EWB model, by upscaling both its inputs and outputs separately. The main questions are: (a) if high-resolution remote sensing images are necessa...

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Autores principales:	Nicola Paciolla, Chiara Corbari, Antonino Maltese, Giuseppe Ciraolo, Marco Mancini
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	evapotranspiration energy-balance model spatial resolution vineyard upscaling Science Q
Acceso en línea:	https://doaj.org/article/cdf01501161e40e38f716e9b1bdd6791
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spelling	oai:doaj.org-article:cdf01501161e40e38f716e9b1bdd67912021-11-25T18:55:31ZProximal-Sensing-Powered Modelling of Energy-Water Fluxes in a Vineyard: A Spatial Resolution Analysis10.3390/rs132246992072-4292https://doaj.org/article/cdf01501161e40e38f716e9b1bdd67912021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4699https://doaj.org/toc/2072-4292Spatial resolution is a key parameter in energy–water surface flux modelling. In this research, scale effects are analyzed on fluxes modelled with the FEST-EWB model, by upscaling both its inputs and outputs separately. The main questions are: (a) if high-resolution remote sensing images are necessary to accurately model a heterogeneous area; and (b) whether and to what extent low-resolution modelling provides worse/better results than the upscaled results of high-resolution modelling. The study area is an experimental vineyard field where proximal sensing images were obtained by an airborne platform and verification fluxes were measured via a flux tower. Modelled fluxes are in line with those from alternative energy-balance models, and quite accurate (NSE = 0.78) with respect to those measured in situ. Field-scale evapotranspiration has resulted in both the tested upscaling approaches (with relative error within ±30%), although fewer pixels available for low-resolution calibration may produce some differences. When working at low resolutions, the model has produced higher relative errors (20% on average), but is still within acceptable bounds. This means that the model can produce high-quality results, partially compensating for the loss in spatial heterogeneity associated with low-resolution images.Nicola PaciollaChiara CorbariAntonino MalteseGiuseppe CiraoloMarco ManciniMDPI AGarticleevapotranspirationenergy-balance modelspatial resolutionvineyardupscalingScienceQENRemote Sensing, Vol 13, Iss 4699, p 4699 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	evapotranspiration energy-balance model spatial resolution vineyard upscaling Science Q
spellingShingle	evapotranspiration energy-balance model spatial resolution vineyard upscaling Science Q Nicola Paciolla Chiara Corbari Antonino Maltese Giuseppe Ciraolo Marco Mancini Proximal-Sensing-Powered Modelling of Energy-Water Fluxes in a Vineyard: A Spatial Resolution Analysis
description	Spatial resolution is a key parameter in energy–water surface flux modelling. In this research, scale effects are analyzed on fluxes modelled with the FEST-EWB model, by upscaling both its inputs and outputs separately. The main questions are: (a) if high-resolution remote sensing images are necessary to accurately model a heterogeneous area; and (b) whether and to what extent low-resolution modelling provides worse/better results than the upscaled results of high-resolution modelling. The study area is an experimental vineyard field where proximal sensing images were obtained by an airborne platform and verification fluxes were measured via a flux tower. Modelled fluxes are in line with those from alternative energy-balance models, and quite accurate (NSE = 0.78) with respect to those measured in situ. Field-scale evapotranspiration has resulted in both the tested upscaling approaches (with relative error within ±30%), although fewer pixels available for low-resolution calibration may produce some differences. When working at low resolutions, the model has produced higher relative errors (20% on average), but is still within acceptable bounds. This means that the model can produce high-quality results, partially compensating for the loss in spatial heterogeneity associated with low-resolution images.
format	article
author	Nicola Paciolla Chiara Corbari Antonino Maltese Giuseppe Ciraolo Marco Mancini
author_facet	Nicola Paciolla Chiara Corbari Antonino Maltese Giuseppe Ciraolo Marco Mancini
author_sort	Nicola Paciolla
title	Proximal-Sensing-Powered Modelling of Energy-Water Fluxes in a Vineyard: A Spatial Resolution Analysis
title_short	Proximal-Sensing-Powered Modelling of Energy-Water Fluxes in a Vineyard: A Spatial Resolution Analysis
title_full	Proximal-Sensing-Powered Modelling of Energy-Water Fluxes in a Vineyard: A Spatial Resolution Analysis
title_fullStr	Proximal-Sensing-Powered Modelling of Energy-Water Fluxes in a Vineyard: A Spatial Resolution Analysis
title_full_unstemmed	Proximal-Sensing-Powered Modelling of Energy-Water Fluxes in a Vineyard: A Spatial Resolution Analysis
title_sort	proximal-sensing-powered modelling of energy-water fluxes in a vineyard: a spatial resolution analysis
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/cdf01501161e40e38f716e9b1bdd6791
work_keys_str_mv	AT nicolapaciolla proximalsensingpoweredmodellingofenergywaterfluxesinavineyardaspatialresolutionanalysis AT chiaracorbari proximalsensingpoweredmodellingofenergywaterfluxesinavineyardaspatialresolutionanalysis AT antoninomaltese proximalsensingpoweredmodellingofenergywaterfluxesinavineyardaspatialresolutionanalysis AT giuseppeciraolo proximalsensingpoweredmodellingofenergywaterfluxesinavineyardaspatialresolutionanalysis AT marcomancini proximalsensingpoweredmodellingofenergywaterfluxesinavineyardaspatialresolutionanalysis
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Proximal-Sensing-Powered Modelling of Energy-Water Fluxes in a Vineyard: A Spatial Resolution Analysis

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