Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements
Autor(a) principal: | |
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Data de Publicação: | 2016 |
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/10362/154279 |
Resumo: | Navarro, A., Rolim, J., Miguel, I., Catalão, J., Silva, J., Painho, M., & Vekerdy, Z. (2016). Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements. Remote Sensing, 8(6), [525]. DOI: 10.3390/rs8060525 |
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Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirementsAgricultureEvapotranspirationLand cover changeSentinel-1ASPOT-5 Take-5TIGER initiativeEarth and Planetary Sciences(all)Navarro, A., Rolim, J., Miguel, I., Catalão, J., Silva, J., Painho, M., & Vekerdy, Z. (2016). Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements. Remote Sensing, 8(6), [525]. DOI: 10.3390/rs8060525Optical and microwave images have been combined for land cover monitoring in different agriculture scenarios, providing useful information on qualitative and quantitative land cover changes. This study aims to assess the complementarity and interoperability of optical (SPOT-5 Take-5) and synthetic aperture radar (SAR) (Sentinel-1A) data for crop parameter (basal crop coefficient (Kcb) values and the length of the crop's development stages) retrieval and crop type classification, with a focus on crop water requirements, for an irrigation perimeter in Angola. SPOT-5 Take-5 images are used as a proxy of Sentinel-2 data to evaluate the potential of their enhanced temporal resolution for agricultural applications. In situ data are also used to complement the Earth Observation (EO) data. The Normalized Difference Vegetation Index (NDVI) and dual (VV + VH) polarization backscattering time series are used to compute the Kcb curve for four crop types (maize, soybean, bean and pasture) and to estimate the length of each phenological growth stage. The Kcb values are then used to compute the crop's evapotranspiration and to subsequently estimate the crop irrigation requirements based on a soil water balance model. A significant R2 correlation between NDVI and backscatter time series was observed for all crops, demonstrating that optical data can be replaced by microwave data in the presence of cloud cover. However, it was not possible to properly identify each stage of the crop cycle due to the lack of EO data for the complete growing season.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNNavarro, AnaRolim, JoãoMiguel, IrinaCatalão, JoãoSilva, JoelPainho, MarcoVekerdy, Zoltán2023-06-22T22:16:38Z2016-06-222016-06-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttp://hdl.handle.net/10362/154279eng2072-4292PURE: 2559056https://doi.org/10.3390/rs8060525info: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:RCAAP2024-03-11T05:36:44Zoai:run.unl.pt:10362/154279Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:55:33.859606Repositório 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 |
Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements |
title |
Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements |
spellingShingle |
Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements Navarro, Ana Agriculture Evapotranspiration Land cover change Sentinel-1A SPOT-5 Take-5 TIGER initiative Earth and Planetary Sciences(all) |
title_short |
Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements |
title_full |
Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements |
title_fullStr |
Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements |
title_full_unstemmed |
Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements |
title_sort |
Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements |
author |
Navarro, Ana |
author_facet |
Navarro, Ana Rolim, João Miguel, Irina Catalão, João Silva, Joel Painho, Marco Vekerdy, Zoltán |
author_role |
author |
author2 |
Rolim, João Miguel, Irina Catalão, João Silva, Joel Painho, Marco Vekerdy, Zoltán |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
dc.contributor.author.fl_str_mv |
Navarro, Ana Rolim, João Miguel, Irina Catalão, João Silva, Joel Painho, Marco Vekerdy, Zoltán |
dc.subject.por.fl_str_mv |
Agriculture Evapotranspiration Land cover change Sentinel-1A SPOT-5 Take-5 TIGER initiative Earth and Planetary Sciences(all) |
topic |
Agriculture Evapotranspiration Land cover change Sentinel-1A SPOT-5 Take-5 TIGER initiative Earth and Planetary Sciences(all) |
description |
Navarro, A., Rolim, J., Miguel, I., Catalão, J., Silva, J., Painho, M., & Vekerdy, Z. (2016). Crop monitoring based on SPOT-5 Take-5 and sentinel-1A data for the estimation of crop water requirements. Remote Sensing, 8(6), [525]. DOI: 10.3390/rs8060525 |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06-22 2016-06-22T00:00:00Z 2023-06-22T22:16:38Z |
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/10362/154279 |
url |
http://hdl.handle.net/10362/154279 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2072-4292 PURE: 2559056 https://doi.org/10.3390/rs8060525 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
20 application/pdf |
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 |
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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 |
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1799138142818664448 |