Monitoring crop evapotranspiration and crop coefficients over an almond and pistachio orchard throughout remote sensing

In California, water is a perennial concern. As competition for water resources increases due to growth in population, California’s tree nut farmers are committed to improving the efficiency of water used for food production. There is an imminent need to have reliable methods that provide informatio...

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Autores: Bellvert, Joaquim, Adeline, Karine, Baram, Shahar, Pierce, Lars, Sanden, Blake L., Smart, David R.
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
Repositorio:IRTA Pubpro. Open Digital Archive
OAI Identifier:oai:repositori.irta.cat:20.500.12327/379
Acceso en línea:http://hdl.handle.net/20.500.12327/379
https://doi.org/10.3390/rs10122001
Access Level:acceso abierto
Palabra clave:631
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spelling Monitoring crop evapotranspiration and crop coefficients over an almond and pistachio orchard throughout remote sensingBellvert, JoaquimAdeline, KarineBaram, ShaharPierce, LarsSanden, Blake L.Smart, David R.631In California, water is a perennial concern. As competition for water resources increases due to growth in population, California’s tree nut farmers are committed to improving the efficiency of water used for food production. There is an imminent need to have reliable methods that provide information about the temporal and spatial variability of crop water requirements, which allow farmers to make irrigation decisions at field scale. This study focuses on estimating the actual evapotranspiration and crop coefficients of an almond and pistachio orchard located in Central Valley (California) during an entire growing season by combining a simple crop evapotranspiration model with remote sensing data. A dataset of the vegetation index NDVI derived from Landsat-8 was used to facilitate the estimation of the basal crop coefficient (Kcb), or potential crop water use. The soil water evaporation coefficient (Ke) was measured from microlysimeters. The water stress coefficient (Ks) was derived from airborne remotely sensed canopy thermal-based methods, using seasonal regressions between the crop water stress index (CWSI) and stem water potential (Ψstem). These regressions were statistically-significant for both crops, indicating clear seasonal differences in pistachios, but not in almonds. In almonds, the estimated maximum Kcb values ranged between 1.05 to 0.90, while for pistachios, it ranged between 0.89 to 0.80. The model indicated a difference of 97 mm in transpiration over the season between both crops. Soil evaporation accounted for an average of 16% and 13% of the total actual evapotranspiration for almonds and pistachios, respectively. Verification of the model-based daily crop evapotranspiration estimates was done using eddy-covariance and surface renewal data collected in the same orchards, yielding an R2 ≥ 0.7 and average root mean square errors (RMSE) of 0.74 and 0.91 mm·day−1 for almond and pistachio, respectively. It is concluded that the combination of crop evapotranspiration models with remotely-sensed data is helpful for upscaling irrigation information from plant to field scale and thus may be used by farmers for making day-to-day irrigation management decisions.info:eu-repo/semantics/publishedVersionMDPIProducció VegetalÚs Eficient de l'Aigua en Agricultura201920192018info:eu-repo/semantics/article22application/pdfhttp://hdl.handle.net/20.500.12327/379https://doi.org/10.3390/rs10122001reponame:IRTA Pubpro. Open Digital Archiveinstname:Institut de Recerca i Tecnologia Agroalimentàries (IRTA)InglésRemote SensingAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.irta.cat:20.500.12327/3792026-06-16T08:51:17Z
dc.title.none.fl_str_mv Monitoring crop evapotranspiration and crop coefficients over an almond and pistachio orchard throughout remote sensing
title Monitoring crop evapotranspiration and crop coefficients over an almond and pistachio orchard throughout remote sensing
spellingShingle Monitoring crop evapotranspiration and crop coefficients over an almond and pistachio orchard throughout remote sensing
Bellvert, Joaquim
631
title_short Monitoring crop evapotranspiration and crop coefficients over an almond and pistachio orchard throughout remote sensing
title_full Monitoring crop evapotranspiration and crop coefficients over an almond and pistachio orchard throughout remote sensing
title_fullStr Monitoring crop evapotranspiration and crop coefficients over an almond and pistachio orchard throughout remote sensing
title_full_unstemmed Monitoring crop evapotranspiration and crop coefficients over an almond and pistachio orchard throughout remote sensing
title_sort Monitoring crop evapotranspiration and crop coefficients over an almond and pistachio orchard throughout remote sensing
dc.creator.none.fl_str_mv Bellvert, Joaquim
Adeline, Karine
Baram, Shahar
Pierce, Lars
Sanden, Blake L.
Smart, David R.
author Bellvert, Joaquim
author_facet Bellvert, Joaquim
Adeline, Karine
Baram, Shahar
Pierce, Lars
Sanden, Blake L.
Smart, David R.
author_role author
author2 Adeline, Karine
Baram, Shahar
Pierce, Lars
Sanden, Blake L.
Smart, David R.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Producció Vegetal
Ús Eficient de l'Aigua en Agricultura
dc.subject.none.fl_str_mv 631
topic 631
description In California, water is a perennial concern. As competition for water resources increases due to growth in population, California’s tree nut farmers are committed to improving the efficiency of water used for food production. There is an imminent need to have reliable methods that provide information about the temporal and spatial variability of crop water requirements, which allow farmers to make irrigation decisions at field scale. This study focuses on estimating the actual evapotranspiration and crop coefficients of an almond and pistachio orchard located in Central Valley (California) during an entire growing season by combining a simple crop evapotranspiration model with remote sensing data. A dataset of the vegetation index NDVI derived from Landsat-8 was used to facilitate the estimation of the basal crop coefficient (Kcb), or potential crop water use. The soil water evaporation coefficient (Ke) was measured from microlysimeters. The water stress coefficient (Ks) was derived from airborne remotely sensed canopy thermal-based methods, using seasonal regressions between the crop water stress index (CWSI) and stem water potential (Ψstem). These regressions were statistically-significant for both crops, indicating clear seasonal differences in pistachios, but not in almonds. In almonds, the estimated maximum Kcb values ranged between 1.05 to 0.90, while for pistachios, it ranged between 0.89 to 0.80. The model indicated a difference of 97 mm in transpiration over the season between both crops. Soil evaporation accounted for an average of 16% and 13% of the total actual evapotranspiration for almonds and pistachios, respectively. Verification of the model-based daily crop evapotranspiration estimates was done using eddy-covariance and surface renewal data collected in the same orchards, yielding an R2 ≥ 0.7 and average root mean square errors (RMSE) of 0.74 and 0.91 mm·day−1 for almond and pistachio, respectively. It is concluded that the combination of crop evapotranspiration models with remotely-sensed data is helpful for upscaling irrigation information from plant to field scale and thus may be used by farmers for making day-to-day irrigation management decisions.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12327/379
https://doi.org/10.3390/rs10122001
url http://hdl.handle.net/20.500.12327/379
https://doi.org/10.3390/rs10122001
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Remote Sensing
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 22
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:IRTA Pubpro. Open Digital Archive
instname:Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
instname_str Institut de Recerca i Tecnologia Agroalimentàries (IRTA)
reponame_str IRTA Pubpro. Open Digital Archive
collection IRTA Pubpro. Open Digital Archive
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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