Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/13820 |
Resumo: | A new procedure is proposed for estimating actual basal crop coefficients from vegetation indices (Kcb VI) considering a density coefficient (Kd) and a crop coefficient for bare soil. Kd is computed using the fraction of ground cover by vegetation (fc VI), which is also estimated from vegetation indices derived from remote sensing. A combined approach for estimating actual crop coefficients from vegetation indices (Kc VI) is also proposed by integrating the Kcb VI with the soil evaporation coefficient (Ke) derived from the soil water balance model SIMDualKc. Results for maize, barley and an olive orchard have shown that the approaches for estimating both fc VI and Kcb VI compared well with results obtained using the SIMDualKc model after calibration with ground observation data. For the crops studied, the correlation coefficients relative to comparing the actual Kcb VI and Kc VI with actual Kcb and Kc obtained with SIMDualKc were larger than 0.73 and 0.71, respectively. The corresponding regression coefficients were close to 1.0. The methodology herein presented and discussed allowed for obtaining information for the whole crop season, including periods when vegetation cover is incomplete, as the initial and development stages. Results show that the proposed methods are adequate for supporting irrigation management |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled dataactual basal crop coefficientevapotranspirationevaporation coefficientfraction of ground coverremote sensingSIMDualKc modelwater stress coefficientNDVISAVIA new procedure is proposed for estimating actual basal crop coefficients from vegetation indices (Kcb VI) considering a density coefficient (Kd) and a crop coefficient for bare soil. Kd is computed using the fraction of ground cover by vegetation (fc VI), which is also estimated from vegetation indices derived from remote sensing. A combined approach for estimating actual crop coefficients from vegetation indices (Kc VI) is also proposed by integrating the Kcb VI with the soil evaporation coefficient (Ke) derived from the soil water balance model SIMDualKc. Results for maize, barley and an olive orchard have shown that the approaches for estimating both fc VI and Kcb VI compared well with results obtained using the SIMDualKc model after calibration with ground observation data. For the crops studied, the correlation coefficients relative to comparing the actual Kcb VI and Kc VI with actual Kcb and Kc obtained with SIMDualKc were larger than 0.73 and 0.71, respectively. The corresponding regression coefficients were close to 1.0. The methodology herein presented and discussed allowed for obtaining information for the whole crop season, including periods when vegetation cover is incomplete, as the initial and development stages. Results show that the proposed methods are adequate for supporting irrigation managementMDPIRepositório da Universidade de LisboaPôças, IsabelPaço, TeresaParedes, PaulaCunha, MárioPereira, L.S.2017-06-28T10:25:23Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/13820engRemote Sens. 2015, 7, 2373-24002072-429210.3390/rs70302373info: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:RCAAP2023-03-06T14:43:53ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data |
title |
Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data |
spellingShingle |
Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data Pôças, Isabel actual basal crop coefficient evapotranspiration evaporation coefficient fraction of ground cover remote sensing SIMDualKc model water stress coefficient NDVI SAVI |
title_short |
Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data |
title_full |
Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data |
title_fullStr |
Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data |
title_full_unstemmed |
Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data |
title_sort |
Estimation of actual crop coefficients using remotely sensed vegetation indices and soil water balance modelled data |
author |
Pôças, Isabel |
author_facet |
Pôças, Isabel Paço, Teresa Paredes, Paula Cunha, Mário Pereira, L.S. |
author_role |
author |
author2 |
Paço, Teresa Paredes, Paula Cunha, Mário Pereira, L.S. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Pôças, Isabel Paço, Teresa Paredes, Paula Cunha, Mário Pereira, L.S. |
dc.subject.por.fl_str_mv |
actual basal crop coefficient evapotranspiration evaporation coefficient fraction of ground cover remote sensing SIMDualKc model water stress coefficient NDVI SAVI |
topic |
actual basal crop coefficient evapotranspiration evaporation coefficient fraction of ground cover remote sensing SIMDualKc model water stress coefficient NDVI SAVI |
description |
A new procedure is proposed for estimating actual basal crop coefficients from vegetation indices (Kcb VI) considering a density coefficient (Kd) and a crop coefficient for bare soil. Kd is computed using the fraction of ground cover by vegetation (fc VI), which is also estimated from vegetation indices derived from remote sensing. A combined approach for estimating actual crop coefficients from vegetation indices (Kc VI) is also proposed by integrating the Kcb VI with the soil evaporation coefficient (Ke) derived from the soil water balance model SIMDualKc. Results for maize, barley and an olive orchard have shown that the approaches for estimating both fc VI and Kcb VI compared well with results obtained using the SIMDualKc model after calibration with ground observation data. For the crops studied, the correlation coefficients relative to comparing the actual Kcb VI and Kc VI with actual Kcb and Kc obtained with SIMDualKc were larger than 0.73 and 0.71, respectively. The corresponding regression coefficients were close to 1.0. The methodology herein presented and discussed allowed for obtaining information for the whole crop season, including periods when vegetation cover is incomplete, as the initial and development stages. Results show that the proposed methods are adequate for supporting irrigation management |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z 2017-06-28T10:25:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/13820 |
url |
http://hdl.handle.net/10400.5/13820 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Remote Sens. 2015, 7, 2373-2400 2072-4292 10.3390/rs70302373 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
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 |
|
repository.mail.fl_str_mv |
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_version_ |
1777302136080564224 |