Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator

Detalhes bibliográficos
Autor(a) principal: Santos, Francisco L.
Data de Publicação: 2013
Outros Autores: Correia, Maria Manuela, Pôcas, Isabel, Valverde, Pedro C., Coelho, Renato, Vaz, Margarida, Paço, Teresa A.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/8776
Resumo: The use of remote sensing for obtaining evapotranspiration (ET) from natural and agricultural surfaces is already widely used. For irrigated agriculture the two basic approaches are: (1) the solution of the energy balance equation, using remotely sensed surface temperatures and reflectances to estimate variables and components of this equation, and (2) the crop coefficient and reference evapotranspiration (ETo) approach where the crop coefficient is obtained through canopy reflectance measurements. For the latter, theoretical and field studies have shown that satellite reflectance-derived vegetation indices (VIs) are closely relate to carbon and moisture fluxes and, when combined with ground data or appropriately calibrated models, they can produce valuable estimates of crop transpiration and related processes at the canopy or ecosystem scale (D ́Urso and Calera, 2006). In this study the crop coefficient approach was used. For estimation of actual transpiration of irrigated and very high tree-density hedgerow orchards grown in Alentejo the procedure correlates (a) the basal crop transpiration coefficients (Kcb = Tmax/ETo) of the unstressed full irrigated treatment to the normalized difference vegetation index (NDVI) values assessed from Landsat5 TM and Landsat7 ETM+ (r2 = 0.86) and (b) the crop stress coefficient (Ks = Ta/KcbETo), obtained from the ratio of the sustained deficit irrigation (Ta) and fully irrigated (Tmax) daily transpiration rates, to a plant stress indicator, in the case, the basal leaf water potential (r2= 0.85). Daily tree transpiration rates on both treatments were obtained from sap flow measurements. The unstressed crop status of the full irrigation treatment was warranted from the high Willmott index of agreement (IA = 0.88) obtained with transpiration values simulated with the Penman-Monteith “big leaf” model (Willmott, 1982). In this algorithm, a specific model of bulk daily canopy conductance (Gc) for unstressed olive canopies was used (Orgaz et al., 2007). From the resulting relationship equations, known field values of leaf basal water potential and satellite-derived NDVI ́s suffice to get estimates of Ks and Kcb, respectively and from them derive and map the actual olive tree transpiration (Ta = Kcb Ks ETo) rates. The study is under way, and thus further validation applications are planned prior to using the approach for mapping olive transpiration orchards of different tree density and scale areas.
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spelling Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicatorArbequinamapping transpirationtranspirationcrop coefficientThe use of remote sensing for obtaining evapotranspiration (ET) from natural and agricultural surfaces is already widely used. For irrigated agriculture the two basic approaches are: (1) the solution of the energy balance equation, using remotely sensed surface temperatures and reflectances to estimate variables and components of this equation, and (2) the crop coefficient and reference evapotranspiration (ETo) approach where the crop coefficient is obtained through canopy reflectance measurements. For the latter, theoretical and field studies have shown that satellite reflectance-derived vegetation indices (VIs) are closely relate to carbon and moisture fluxes and, when combined with ground data or appropriately calibrated models, they can produce valuable estimates of crop transpiration and related processes at the canopy or ecosystem scale (D ́Urso and Calera, 2006). In this study the crop coefficient approach was used. For estimation of actual transpiration of irrigated and very high tree-density hedgerow orchards grown in Alentejo the procedure correlates (a) the basal crop transpiration coefficients (Kcb = Tmax/ETo) of the unstressed full irrigated treatment to the normalized difference vegetation index (NDVI) values assessed from Landsat5 TM and Landsat7 ETM+ (r2 = 0.86) and (b) the crop stress coefficient (Ks = Ta/KcbETo), obtained from the ratio of the sustained deficit irrigation (Ta) and fully irrigated (Tmax) daily transpiration rates, to a plant stress indicator, in the case, the basal leaf water potential (r2= 0.85). Daily tree transpiration rates on both treatments were obtained from sap flow measurements. The unstressed crop status of the full irrigation treatment was warranted from the high Willmott index of agreement (IA = 0.88) obtained with transpiration values simulated with the Penman-Monteith “big leaf” model (Willmott, 1982). In this algorithm, a specific model of bulk daily canopy conductance (Gc) for unstressed olive canopies was used (Orgaz et al., 2007). From the resulting relationship equations, known field values of leaf basal water potential and satellite-derived NDVI ́s suffice to get estimates of Ks and Kcb, respectively and from them derive and map the actual olive tree transpiration (Ta = Kcb Ks ETo) rates. The study is under way, and thus further validation applications are planned prior to using the approach for mapping olive transpiration orchards of different tree density and scale areas.Sociedade Portuguesa de Horticultura, Sociedade Espanhola de AgroEngenharia (SEAAgIng); Acta do VII Congresso Ibérico de Agro Engenharia e Ciências Hortícolas, Madrid, 26-29 Agosto de 20132013-09-23T14:10:10Z2013-09-232013-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/8776http://hdl.handle.net/10174/8776engFrancisco L. Santos, Maria Manuela Correia, Isabel Pôças, Pedro C. Valverde, Renato R. Coelho, Margarida Vaz, Teresa do Paço, 2013. Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator. VII Congresso Ibérico de AgroEngenharia e Ciências Hortícolas, Madrid 26-29 Agosto 2013.simnaonaoICAAMfls@uevora.ptmmsc@uevora.ptndndrcoelho@uevora.ptmvaz@uevora.ptnd580Santos, Francisco L.Correia, Maria ManuelaPôcas, IsabelValverde, Pedro C.Coelho, RenatoVaz, MargaridaPaço, Teresa A.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:50:12Zoai:dspace.uevora.pt:10174/8776Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:03:00.680141Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator
title Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator
spellingShingle Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator
Santos, Francisco L.
Arbequina
mapping transpiration
transpiration
crop coefficient
title_short Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator
title_full Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator
title_fullStr Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator
title_full_unstemmed Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator
title_sort Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator
author Santos, Francisco L.
author_facet Santos, Francisco L.
Correia, Maria Manuela
Pôcas, Isabel
Valverde, Pedro C.
Coelho, Renato
Vaz, Margarida
Paço, Teresa A.
author_role author
author2 Correia, Maria Manuela
Pôcas, Isabel
Valverde, Pedro C.
Coelho, Renato
Vaz, Margarida
Paço, Teresa A.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santos, Francisco L.
Correia, Maria Manuela
Pôcas, Isabel
Valverde, Pedro C.
Coelho, Renato
Vaz, Margarida
Paço, Teresa A.
dc.subject.por.fl_str_mv Arbequina
mapping transpiration
transpiration
crop coefficient
topic Arbequina
mapping transpiration
transpiration
crop coefficient
description The use of remote sensing for obtaining evapotranspiration (ET) from natural and agricultural surfaces is already widely used. For irrigated agriculture the two basic approaches are: (1) the solution of the energy balance equation, using remotely sensed surface temperatures and reflectances to estimate variables and components of this equation, and (2) the crop coefficient and reference evapotranspiration (ETo) approach where the crop coefficient is obtained through canopy reflectance measurements. For the latter, theoretical and field studies have shown that satellite reflectance-derived vegetation indices (VIs) are closely relate to carbon and moisture fluxes and, when combined with ground data or appropriately calibrated models, they can produce valuable estimates of crop transpiration and related processes at the canopy or ecosystem scale (D ́Urso and Calera, 2006). In this study the crop coefficient approach was used. For estimation of actual transpiration of irrigated and very high tree-density hedgerow orchards grown in Alentejo the procedure correlates (a) the basal crop transpiration coefficients (Kcb = Tmax/ETo) of the unstressed full irrigated treatment to the normalized difference vegetation index (NDVI) values assessed from Landsat5 TM and Landsat7 ETM+ (r2 = 0.86) and (b) the crop stress coefficient (Ks = Ta/KcbETo), obtained from the ratio of the sustained deficit irrigation (Ta) and fully irrigated (Tmax) daily transpiration rates, to a plant stress indicator, in the case, the basal leaf water potential (r2= 0.85). Daily tree transpiration rates on both treatments were obtained from sap flow measurements. The unstressed crop status of the full irrigation treatment was warranted from the high Willmott index of agreement (IA = 0.88) obtained with transpiration values simulated with the Penman-Monteith “big leaf” model (Willmott, 1982). In this algorithm, a specific model of bulk daily canopy conductance (Gc) for unstressed olive canopies was used (Orgaz et al., 2007). From the resulting relationship equations, known field values of leaf basal water potential and satellite-derived NDVI ́s suffice to get estimates of Ks and Kcb, respectively and from them derive and map the actual olive tree transpiration (Ta = Kcb Ks ETo) rates. The study is under way, and thus further validation applications are planned prior to using the approach for mapping olive transpiration orchards of different tree density and scale areas.
publishDate 2013
dc.date.none.fl_str_mv 2013-09-23T14:10:10Z
2013-09-23
2013-08-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/8776
http://hdl.handle.net/10174/8776
url http://hdl.handle.net/10174/8776
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Francisco L. Santos, Maria Manuela Correia, Isabel Pôças, Pedro C. Valverde, Renato R. Coelho, Margarida Vaz, Teresa do Paço, 2013. Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator. VII Congresso Ibérico de AgroEngenharia e Ciências Hortícolas, Madrid 26-29 Agosto 2013.
sim
nao
nao
ICAAM
fls@uevora.pt
mmsc@uevora.pt
nd
nd
rcoelho@uevora.pt
mvaz@uevora.pt
nd
580
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Sociedade Portuguesa de Horticultura, Sociedade Espanhola de AgroEngenharia (SEAAgIng); Acta do VII Congresso Ibérico de Agro Engenharia e Ciências Hortícolas, Madrid, 26-29 Agosto de 2013
publisher.none.fl_str_mv Sociedade Portuguesa de Horticultura, Sociedade Espanhola de AgroEngenharia (SEAAgIng); Acta do VII Congresso Ibérico de Agro Engenharia e Ciências Hortícolas, Madrid, 26-29 Agosto de 2013
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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