Surface moisture index by radiometric measurements and orbital data.
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144814 https://doi.org/10.1590/1809-4430-Eng.Agric.v42n2e20210043/2022 |
Resumo: | Abstract: As an indicator of surface moisture, TVDI has great potential for application in agriculture in different types of climates, but the best results have been obtained in arid climates, given the presence of areas with contrasting water conditions. Some studies under subtropical climate conditions have shown good results in the use of TVDI as an indicator of surface moisture but some uncertainties still need to be better understood. This study aimed to evaluate the coherence of temperature-vegetation dryness index (TVDI) values, obtained from sensors installed on the surface, compared to data obtained using orbital images in an agricultural area in southern Brazil under humid subtropical climate conditions. The analyses employed normalized difference vegetation index (NDVI) and surface temperature (TS) data obtained through sensors installed on the surface, with continuous monitoring, as well as Landsat OLI/TIRS images, covering the period of the soybean cycle. The TVDI values, obtained from NDVI and TS radiometric sensors installed in the field, indicated consistency of using Landsat-OLI/TIRS orbital images to map the surface moisture condition, representing the spatial and temporal variations of the water condition of soybean cultivations under subtropical climate conditions. |
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Surface moisture index by radiometric measurements and orbital data.Cultivo de sojaClima subtropicalTVDITemperature-vegetation dryness indexÍndice de secura temperatura-vegetaçãoGround-based NDVI systemSistema NDVI terrestreGlycine max LAgriculturaAgricultureAbstract: As an indicator of surface moisture, TVDI has great potential for application in agriculture in different types of climates, but the best results have been obtained in arid climates, given the presence of areas with contrasting water conditions. Some studies under subtropical climate conditions have shown good results in the use of TVDI as an indicator of surface moisture but some uncertainties still need to be better understood. This study aimed to evaluate the coherence of temperature-vegetation dryness index (TVDI) values, obtained from sensors installed on the surface, compared to data obtained using orbital images in an agricultural area in southern Brazil under humid subtropical climate conditions. The analyses employed normalized difference vegetation index (NDVI) and surface temperature (TS) data obtained through sensors installed on the surface, with continuous monitoring, as well as Landsat OLI/TIRS images, covering the period of the soybean cycle. The TVDI values, obtained from NDVI and TS radiometric sensors installed in the field, indicated consistency of using Landsat-OLI/TIRS orbital images to map the surface moisture condition, representing the spatial and temporal variations of the water condition of soybean cultivations under subtropical climate conditions.LUCIMARA W. SCHIRMBECK, UFRGS; DENISE C. FONTANA, UFRGS; JULIANO SCHIRMBECK, UNIVATES; GENEI ANTONIO DALMAGO, CNPT; JOSE MAURICIO CUNHA FERNANDES, CNPT.SCHIRMBECK, L. W.FONTANA, D. C.SCHIRMBECK, J.DALMAGO, G. A.FERNANDES, J. M. C.2022-07-19T17:19:44Z2022-07-19T17:19:44Z2022-07-192022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleEngenharia Agrícola, v. 42, n. 2, e20210043, 2022.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144814https://doi.org/10.1590/1809-4430-Eng.Agric.v42n2e20210043/2022enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2022-07-19T17:19:53Zoai:www.alice.cnptia.embrapa.br:doc/1144814Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-07-19T17:19:53falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-07-19T17:19:53Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Surface moisture index by radiometric measurements and orbital data. |
title |
Surface moisture index by radiometric measurements and orbital data. |
spellingShingle |
Surface moisture index by radiometric measurements and orbital data. SCHIRMBECK, L. W. Cultivo de soja Clima subtropical TVDI Temperature-vegetation dryness index Índice de secura temperatura-vegetação Ground-based NDVI system Sistema NDVI terrestre Glycine max L Agricultura Agriculture |
title_short |
Surface moisture index by radiometric measurements and orbital data. |
title_full |
Surface moisture index by radiometric measurements and orbital data. |
title_fullStr |
Surface moisture index by radiometric measurements and orbital data. |
title_full_unstemmed |
Surface moisture index by radiometric measurements and orbital data. |
title_sort |
Surface moisture index by radiometric measurements and orbital data. |
author |
SCHIRMBECK, L. W. |
author_facet |
SCHIRMBECK, L. W. FONTANA, D. C. SCHIRMBECK, J. DALMAGO, G. A. FERNANDES, J. M. C. |
author_role |
author |
author2 |
FONTANA, D. C. SCHIRMBECK, J. DALMAGO, G. A. FERNANDES, J. M. C. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
LUCIMARA W. SCHIRMBECK, UFRGS; DENISE C. FONTANA, UFRGS; JULIANO SCHIRMBECK, UNIVATES; GENEI ANTONIO DALMAGO, CNPT; JOSE MAURICIO CUNHA FERNANDES, CNPT. |
dc.contributor.author.fl_str_mv |
SCHIRMBECK, L. W. FONTANA, D. C. SCHIRMBECK, J. DALMAGO, G. A. FERNANDES, J. M. C. |
dc.subject.por.fl_str_mv |
Cultivo de soja Clima subtropical TVDI Temperature-vegetation dryness index Índice de secura temperatura-vegetação Ground-based NDVI system Sistema NDVI terrestre Glycine max L Agricultura Agriculture |
topic |
Cultivo de soja Clima subtropical TVDI Temperature-vegetation dryness index Índice de secura temperatura-vegetação Ground-based NDVI system Sistema NDVI terrestre Glycine max L Agricultura Agriculture |
description |
Abstract: As an indicator of surface moisture, TVDI has great potential for application in agriculture in different types of climates, but the best results have been obtained in arid climates, given the presence of areas with contrasting water conditions. Some studies under subtropical climate conditions have shown good results in the use of TVDI as an indicator of surface moisture but some uncertainties still need to be better understood. This study aimed to evaluate the coherence of temperature-vegetation dryness index (TVDI) values, obtained from sensors installed on the surface, compared to data obtained using orbital images in an agricultural area in southern Brazil under humid subtropical climate conditions. The analyses employed normalized difference vegetation index (NDVI) and surface temperature (TS) data obtained through sensors installed on the surface, with continuous monitoring, as well as Landsat OLI/TIRS images, covering the period of the soybean cycle. The TVDI values, obtained from NDVI and TS radiometric sensors installed in the field, indicated consistency of using Landsat-OLI/TIRS orbital images to map the surface moisture condition, representing the spatial and temporal variations of the water condition of soybean cultivations under subtropical climate conditions. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-19T17:19:44Z 2022-07-19T17:19:44Z 2022-07-19 2022 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Engenharia Agrícola, v. 42, n. 2, e20210043, 2022. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144814 https://doi.org/10.1590/1809-4430-Eng.Agric.v42n2e20210043/2022 |
identifier_str_mv |
Engenharia Agrícola, v. 42, n. 2, e20210043, 2022. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144814 https://doi.org/10.1590/1809-4430-Eng.Agric.v42n2e20210043/2022 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503526196445184 |