Estimation and mapping transpiration with basal and stress crop coefficients derived from remote sensing and ground-based plant water stress indicator
Autor(a) principal: | |
---|---|
Data de Publicação: | 2013 |
Outros Autores: | , , , , , |
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. |
id |
RCAP_d9e03424286b63295e7ae9d858bdf442 |
---|---|
oai_identifier_str |
oai:dspace.uevora.pt:10174/8776 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
format |
conferenceObject |
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 |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) 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 |
repository.mail.fl_str_mv |
|
_version_ |
1799136513498284032 |