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      Water monitoring of soybean crops using the TVDI obtained from surface radiometric sensors Translated title: Monitoramento hídrico de lavoura de soja com uso do TVDI obtido de sensores radiométricos de superfície

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          Abstract

          Abstract The objective of this work was to evaluate the use of the surface moisture data generated by the temperature-vegetation dryness index (TVDI), obtained from sensors positioned on the surface of a soybean (Glycine max) agricultural field. The dry and wet limits of the index were obtained using Landsat-8 images covering the region around the crop. To assess the quality and consistency of the TVDI, a correlation analysis was carried out between the TVDI, the normalized difference vegetation index (NDVI), surface temperature (TS), and the variables that are usually used to express surface moisture. The TVDI showed a significant correlation with soil moisture, water storage in the soil, water deficit, real evapotranspiration, and the real evapotranspiration/potential evapotranspiration ratio. The displacement of radiometric data measured on the surface (NDVI and TS) within the evaporative triangle, adjusted with orbital data, consistently describes the variability of water conditions during the study period, being a tool to support decision-making in crop management.

          Translated abstract

          Resumo O objetivo deste trabalho foi avaliar o uso dos dados de umidade da superfície gerados pelo índice “temperature-vegetation dryness index” (TVDI), obtido de sensores posicionados na superfície de uma área agrícola de soja (Glycine max). Os limites seco e úmido do índice foram obtidos com uso de imagens Landsat-8 que abrangem a região em torno da lavoura. Para avaliar a qualidade e a coerência do TVDI, foi realizada análise de correlação entre o TVDI, o “normalized difference vegetation index” (NDVI), a temperatura da superfície (TS), e as variáveis usualmente utilizadas para expressar a umidade da superfície. O TVDI mostrou correlação significativa com umidade do solo, armazenamento de água no solo, deficit hídrico, evapotranspiração real e relação evapotranspiração real/evapotranspiração potencial. O deslocamento dos dados radiométricos medidos na superfície (NDVI e TS) dentro do triângulo evaporativo, ajustado com dados orbitais, descreve de forma consistente a variabilidade das condições hídricas no período de estudo, sendo uma ferramenta para apoio à tomada de decisões no manejo de culturas.

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          Most cited references35

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          Köppen's climate classification map for Brazil

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            A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status

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              Wheat canopy temperature: A practical tool for evaluating water requirements

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                Author and article information

                Journal
                pab
                Pesquisa Agropecuária Brasileira
                Pesq. agropec. bras.
                Embrapa Secretaria de Pesquisa e Desenvolvimento; Pesquisa Agropecuária Brasileira (Brasília, DF, Brazil )
                0100-204X
                1678-3921
                2022
                : 57
                : e02581
                Affiliations
                [1] Alegre Rio Grande do Sul orgnameUniversidade Federal do Rio Grande do Sul Brazil lucimaraws@ 123456gmail.com
                [2] Porto Alegre Rio Grande do Sul orgnameUniversidade Federal do Rio Grande do Sul Brazil dfontana@ 123456ufrgs.br
                [4] Passo Fundo Rio Grande do Sul orgnameEmbrapa Trigo Brazil genei.dalmago@ 123456embrapa.br
                [3] Lajeado RS orgnameUniversidade do Vale do Taquari orgdiv1Centro de Ciências Exatas e Tecnológicas Brazil schirmbeck.j@ 123456gmail.com
                Article
                S0100-204X2022000101001 S0100-204X(22)05700001001
                10.1590/s1678-3921.pab2022.v57.02581
                3cc6d6e2-dbd6-436b-a591-9259dd5f8145

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 31 May 2021
                : 17 September 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 35, Pages: 0
                Product

                SciELO Brazil

                Categories
                Agrometeorology

                Landsat-8,NDVI,remote sensing,soil moisture,surface temperature,sensoriamento remoto,umidade do solo,temperatura superficial

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