Surface moisture index by radiometric measurements and orbital data.

Detalhes bibliográficos
Autor(a) principal: SCHIRMBECK, L. W.
Data de Publicação: 2022
Outros Autores: FONTANA, D. C., SCHIRMBECK, J., DALMAGO, G. A., FERNANDES, J. M. C.
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.
id EMBR_9d6c22b3de9ac007a590796314442b65
oai_identifier_str oai:www.alice.cnptia.embrapa.br:doc/1144814
network_acronym_str EMBR
network_name_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository_id_str 2154
spelling 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
_version_ 1794503526196445184