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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
19/07/2022 |
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Data da última atualização: |
19/07/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SCHIRMBECK, L. W.; FONTANA, D. C.; SCHIRMBECK, J.; DALMAGO, G. A.; FERNANDES, J. M. C. |
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Afiliação: |
LUCIMARA W. SCHIRMBECK, UFRGS; DENISE C. FONTANA, UFRGS; JULIANO SCHIRMBECK, UNIVATES; GENEI ANTONIO DALMAGO, CNPT; JOSE MAURICIO CUNHA FERNANDES, CNPT. |
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Título: |
Surface moisture index by radiometric measurements and orbital data. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Engenharia Agrícola, v. 42, n. 2, e20210043, 2022. |
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DOI: |
https://doi.org/10.1590/1809-4430-Eng.Agric.v42n2e20210043/2022 |
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Idioma: |
Inglês |
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Conteúdo: |
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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Palavras-Chave: |
Clima subtropical; Cultivo de soja; Glycine max L; Ground-based NDVI system; Índice de secura temperatura-vegetação; Sistema NDVI terrestre; Temperature-vegetation dryness index; TVDI. |
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Thesagro: |
Agricultura. |
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Thesaurus Nal: |
Agriculture. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1144814/1/Surface.pdf
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Marc: |
LEADER 02253naa a2200301 a 4500
001 2144814
005 2022-07-19
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/1809-4430-Eng.Agric.v42n2e20210043/2022$2DOI
100 1 $aSCHIRMBECK, L. W.
245 $aSurface moisture index by radiometric measurements and orbital data.$h[electronic resource]
260 $c2022
520 $aAbstract: 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.
650 $aAgriculture
650 $aAgricultura
653 $aClima subtropical
653 $aCultivo de soja
653 $aGlycine max L
653 $aGround-based NDVI system
653 $aÍndice de secura temperatura-vegetação
653 $aSistema NDVI terrestre
653 $aTemperature-vegetation dryness index
653 $aTVDI
700 1 $aFONTANA, D. C.
700 1 $aSCHIRMBECK, J.
700 1 $aDALMAGO, G. A.
700 1 $aFERNANDES, J. M. C.
773 $tEngenharia Agrícola$gv. 42, n. 2, e20210043, 2022.
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