Integrating Sentinel-2 Imagery with AquaCrop for Dynamic Assessment of Tomato Water Requirements in Southern Italy

A research study was conducted in an open field tomato crop in order to: (i) Evaluate the capability of Sentinel-2 imagery to assess tomato canopy growth and its crop water requirements; and (ii) explore the possibility to predict crop water requirements by assimilating the canopy cover estimated by...

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Main Authors: Anna Dalla Marta, Giovanni Battista Chirico, Salvatore Falanga Bolognesi, Marco Mancini, Guido D’Urso, Simone Orlandini, Carlo De Michele, Filiberto Altobelli
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/9/7/404
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author Anna Dalla Marta
Giovanni Battista Chirico
Salvatore Falanga Bolognesi
Marco Mancini
Guido D’Urso
Simone Orlandini
Carlo De Michele
Filiberto Altobelli
author_facet Anna Dalla Marta
Giovanni Battista Chirico
Salvatore Falanga Bolognesi
Marco Mancini
Guido D’Urso
Simone Orlandini
Carlo De Michele
Filiberto Altobelli
author_sort Anna Dalla Marta
collection DOAJ
description A research study was conducted in an open field tomato crop in order to: (i) Evaluate the capability of Sentinel-2 imagery to assess tomato canopy growth and its crop water requirements; and (ii) explore the possibility to predict crop water requirements by assimilating the canopy cover estimated by Sentinel-2 imagery into AquaCrop model. The pilot area was in Campania, a region in the south west of Italy, characterized by a typical Mediterranean climate, where field campaigns were conducted in seasons 2017 and 2018 on processing tomato. Crop water use and irrigation requirement were estimated by means of three different methods: (i) The AquaCrop model; (ii) an irrigation advisory service based on Sentinel-2 imagery known as IRRISAT and (iii) assimilating the canopy cover estimated by Sentinel-2 imagery into AquaCrop model Sentinel-2 imagery proved to be effective for monitoring canopy growth and for predicting irrigation water requirements during mid-season stage of the crop, when the canopy is fully developed. Conversely, the integration of the Sentinel-2 imagery with a crop growth model can contribute to improve the irrigation water requirement predictions in the early and development stage of the crop, when the soil evaporation is not negligible with respect to the total evapotranspiration.
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spelling doaj.art-d3cce20fb0574e0b94586b518bb508c02022-12-21T22:04:57ZengMDPI AGAgronomy2073-43952019-07-019740410.3390/agronomy9070404agronomy9070404Integrating Sentinel-2 Imagery with AquaCrop for Dynamic Assessment of Tomato Water Requirements in Southern ItalyAnna Dalla Marta0Giovanni Battista Chirico1Salvatore Falanga Bolognesi2Marco Mancini3Guido D’Urso4Simone Orlandini5Carlo De Michele6Filiberto Altobelli7Department of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine 18, 50144 Firenze, ItalyDepartment of Agricultural Sciences, University of Naples “Federico II”, Via Università 100, 80055 Portici (NA), ItalyAriespace s.r.l., Spin off Company, University of Napoli “Federico II”, Centro Direzionale IS A3, 80143 Napoli, ItalyDepartment of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine 18, 50144 Firenze, ItalyDepartment of Agricultural Sciences, University of Naples “Federico II”, Via Università 100, 80055 Portici (NA), ItalyDepartment of Agriculture, Food, Environment and Forestry, University of Florence, Piazzale delle Cascine 18, 50144 Firenze, ItalyAriespace s.r.l., Spin off Company, University of Napoli “Federico II”, Centro Direzionale IS A3, 80143 Napoli, ItalyCREA Research Centre for Agricultural Policies and Bioeconomy, Via Po 14, 00198 Roma, ItalyA research study was conducted in an open field tomato crop in order to: (i) Evaluate the capability of Sentinel-2 imagery to assess tomato canopy growth and its crop water requirements; and (ii) explore the possibility to predict crop water requirements by assimilating the canopy cover estimated by Sentinel-2 imagery into AquaCrop model. The pilot area was in Campania, a region in the south west of Italy, characterized by a typical Mediterranean climate, where field campaigns were conducted in seasons 2017 and 2018 on processing tomato. Crop water use and irrigation requirement were estimated by means of three different methods: (i) The AquaCrop model; (ii) an irrigation advisory service based on Sentinel-2 imagery known as IRRISAT and (iii) assimilating the canopy cover estimated by Sentinel-2 imagery into AquaCrop model Sentinel-2 imagery proved to be effective for monitoring canopy growth and for predicting irrigation water requirements during mid-season stage of the crop, when the canopy is fully developed. Conversely, the integration of the Sentinel-2 imagery with a crop growth model can contribute to improve the irrigation water requirement predictions in the early and development stage of the crop, when the soil evaporation is not negligible with respect to the total evapotranspiration.https://www.mdpi.com/2073-4395/9/7/404fractional coverirrigationsatellitecrop simulation modelAquaCrop
spellingShingle Anna Dalla Marta
Giovanni Battista Chirico
Salvatore Falanga Bolognesi
Marco Mancini
Guido D’Urso
Simone Orlandini
Carlo De Michele
Filiberto Altobelli
Integrating Sentinel-2 Imagery with AquaCrop for Dynamic Assessment of Tomato Water Requirements in Southern Italy
Agronomy
fractional cover
irrigation
satellite
crop simulation model
AquaCrop
title Integrating Sentinel-2 Imagery with AquaCrop for Dynamic Assessment of Tomato Water Requirements in Southern Italy
title_full Integrating Sentinel-2 Imagery with AquaCrop for Dynamic Assessment of Tomato Water Requirements in Southern Italy
title_fullStr Integrating Sentinel-2 Imagery with AquaCrop for Dynamic Assessment of Tomato Water Requirements in Southern Italy
title_full_unstemmed Integrating Sentinel-2 Imagery with AquaCrop for Dynamic Assessment of Tomato Water Requirements in Southern Italy
title_short Integrating Sentinel-2 Imagery with AquaCrop for Dynamic Assessment of Tomato Water Requirements in Southern Italy
title_sort integrating sentinel 2 imagery with aquacrop for dynamic assessment of tomato water requirements in southern italy
topic fractional cover
irrigation
satellite
crop simulation model
AquaCrop
url https://www.mdpi.com/2073-4395/9/7/404
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