TVDI spatiotemporal pattern of a soybean growing area in humid subtropical climate

Schirmbeck, Lucimara Wolfarth; Fontana, Denise Cybis; Schirmbeck, Juliano

doi:10.1590/1678-4499.193

Bragantia

2017

DOI: 10.1590/1678-4499.193

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TVDI spatiotemporal pattern of a soybean growing area in humid subtropical climate

Lucimara Wolfarth Schirmbeck

Denise Cybis Fontana

Juliano Schirmbeck

Abstract: ABSTRACT:The most southern Brazilian state, Rio Grande do Sul, is characterized by high crop yield and is, currently, the third leading soybean producer in the country. Therefore, agriculture is very important to the economy of the region. Because agriculture is highly dependent on variable weather parameters, the present study aimed to test the Vegetation Index (NDVI) images available from MODIS products, which were correlated to obtain a triangular scatter plot. Rainfall data from surface weather stations w… Show more

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Cited by 4 publications

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References 19 publications

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“…NDVI for the maize crop seasonThe NDVI (Figure 2) and the surface temperature (Ts), shown inFigure 3, are important to help us to understand the behavior of the two products of evapotranspiration (ET-SEBAL and ET-EEFLUX), since NDVI and Ts are one of the key parameters in evapotranspiration phenomena(FILGUEIRAS et al, 2019b(FILGUEIRAS et al, , 2019aSCHIRMBECK, 2017SCHIRMBECK, , 2018.…”

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confidence: 99%

Dynamics of Actual Crop Evapotranspiration Based in the Comparative Analysis of Sebal and Metric-Eeflux

Filgueiras¹,

Mantovani

Althoff

et al. 2019

R_I

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DYNAMICS OF ACTUAL CROP EVAPOTRANSPIRATION BASED IN THE COMPARATIVE ANALYSIS OF SEBAL AND METRIC-EEFLUX ROBERTO FILGUEIRAS1; EVERARDO CHARTUNI MANTOVANI2; DANIEL ALTHOFF3; RAYSSA BALIEIRO RIBEIRO4; LUAN PERONI VENANCIO5 E ROBSON ARGOLO DOS SANTOS6 1 Department of Agricultural Engineering, Federal University of Viçosa, Peter Henry Rolfs avenue, s/n –University Campus, Viçosa - MG, 36570-900, Viçosa, MG, Brazil, roberto.f.filgueiras@ufv.br. 2 Department of Agricultural Engineering, Federal University of Viçosa , Peter Henry Rolfs avenue, s/n –University Campus, Viçosa - MG, 36570-900, Viçosa, MG, Brazil, everardo@ufv.br. 3 Department of Agricultural Engineering, Federal University of Viçosa , Peter Henry Rolfs avenue, s/n –University Campus, Viçosa - MG, 36570-900, Viçosa, MG, Brazil, daniel.althoff@ufv.br. 4 Department of Agricultural Engineering, Federal University of Viçosa , Peter Henry Rolfs avenue, s/n –University Campus, Viçosa - MG, 36570-900, Viçosa, MG, Brazil, rayssa.ribeiro@ufv.br. 5 Department of Agricultural Engineering, Federal University of Viçosa , Peter Henry Rolfs avenue, s/n –University Campus, Viçosa - MG, 36570-900, Viçosa, MG, Brazil, luan.venancio@ufv.br. 6 Department of Agricultural Engineering, Federal University of Viçosa , Peter Henry Rolfs avenue, s/n –University Campus, Viçosa - MG, 36570-900, Viçosa, MG, Brazil, robson.argolo@ufv.br. 1 ABSTRACT Obtaining spatial evapotranspiration requires that the user has knowledge of the energy balance equation, as well as digital image processing. This fact has made researchers create and make available an actual evapotranspiration (ETa) product for scientific community, EEFLUX (Earth Engine Evapotranspiration Flux). Based on this, the present work aimed to compare ETa from the SEBAL (ETa-SEBAL) algorithm, with ETa based on the METRIC algorithm, which is available by EEFLUX (ETA-EEFLUX). For this, 14 Landsat images were used throughout the 2018 crop season, for maize crop irrigated by central pivot, in western Bahia, Brazil. The results showed that the product available by EEFLUX presents a higher estimate of evapotranspiration, when compared to SEBAL, for the areas with lower NDVI values and higher surface temperature, and the opposite was also observed. In addition, the SEBAL algorithm was more correlated with the NDVI variables and surface temperature. However, ET-EEFLUX showed agreement with the results obtained by the SEBAL algorithm, being an important information available to the scientific community and decision makers in the practice of irrigated agriculture, since it does not require in-depth technical knowledge. Keywords: water demand, crop monitoring, remote sensing FILGUEIRAS, R.; MANTOVANI, E. C.; ALTHOFF, D.; RIBEIRO, R. B.; VENANCIO, L. P.; SANTOS, R. A. DINÂMICA DA EVAPOTRANSPIRAÇÃO BASEADO NA ANÁLISE COMPARATIVA DO ALGORITMO SEBAL E DO METRIC-EEFLUX 2 RESUMO A obtenção da evapotranspiração espacializada requer que o usuário tenha conhecimento da equação do balanço de energia, bem como de processamento digital de imagens. Este fato fez com que pesquisadores criassem e disponibilizassem um produto de evapotranspiração real (ETa) para a comunidade científica, o EEFLUX (Earth Engine Evapotranspiration Flux). Baseado nisso, o presente trabalho teve como objetivo comparar a ETa proveniente do algoritmo SEBAL (ETa-SEBAL), com a ETa baseada no algoritmo METRIC, que está disponível pelo EEFLUX (ETa-EEFLUX). Para isso, utilizaram-se 14 imagens Landsat. Os resultados demonstraram que o produto disponível pelo EEFLUX apresenta uma estimativa maior de evapotranspiração, quando comparado com o SEBAL, para as áreas que apresentam valores de NDVI mais baixos e de temperatura da superfície mais elevada, sendo o contrário também observado. Além disso, o algoritmo SEBAL se mostrou mais correlacionado com as variáveis NDVI e temperatura de superfície. Entretanto, o ET-EEFLUX apresentou concordância com os resultados obtidos pelo algoritmo SEBAL, sendo uma importante informação disponível para comunidade científica e tomadores de decisão na prática da agricultura irrigada, visto que dispensa conhecimento técnico aprofundado. Palavras-chave: demanda hídrica, monitoramento de cultura, sensoriamento remoto.

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confidence: 99%

Dynamics of Actual Crop Evapotranspiration Based in the Comparative Analysis of Sebal and Metric-Eeflux

Filgueiras¹,

Mantovani

Althoff

et al. 2019

R_I

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Effects of land use on groundwater recharge of a loess terrace under long-term irrigation

Zhao

Liu

et al. 2021

Science of The Total Environment

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Surface Moisture Index by Radiometric Measurements and Orbital Data

et al. 2022

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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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TVDI spatiotemporal pattern of a soybean growing area in humid subtropical climate

Cited by 4 publications

References 19 publications

Dynamics of Actual Crop Evapotranspiration Based in the Comparative Analysis of Sebal and Metric-Eeflux

Dynamics of Actual Crop Evapotranspiration Based in the Comparative Analysis of Sebal and Metric-Eeflux

Effects of land use on groundwater recharge of a loess terrace under long-term irrigation

Surface Moisture Index by Radiometric Measurements and Orbital Data

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