TVDI Obtido de Imagens OLI/TIRS e MODIS

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

doi:10.1590/0102-7786344070

Cited by 2 publications

(10 citation statements)

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“…Grain yield achieved 4,629 kg ha -1 . More details on farming practices are described in Schirmbeck et al (2019).…”

Section: Methodsmentioning

confidence: 99%

“…Wet and dry limit delimitation and triangle-shaped dispersion are called index parameterization. This study covered the entire soybean cycle, as proposed by Schirmbeck et al (2018). As TVDI is an index that provides moisture estimation relative to wet and dry limits, a parameterization per season, using all images available during the period of interest, is required to assess TVDI variations at different dates throughout the season.…”

Section: Obtaining Tvdimentioning

confidence: 99%

“…One of the major challenges for effective agricultural activity monitoring systems is defining robust indicators of spatial and temporal variability for the main risk factors associated with crop production (Fraisse et al, 2016;Radin & Matzenauer, 2016). In the case of soybeans grown in southern Brazil, the most important risk factor is water deficit (Sentelhas et al, 2015, Zanon et al, 2016, Matzenauer et al, 2020.…”

Section: Introductionmentioning

confidence: 99%

“…Sandholt et al (2002) proposed to estimate surface moisture using an empirical approach that relates, in a two-dimensional space, the Normalized Difference Vegetation Index (NDVI) and Surface Temperature (Ts), resulting in the TVDI (Temperature-Vegetation Dryness Index). Studies have shown that TVDI is a robust indicator of surface moisture in both dry (Sandholt et al, 2002) and wet (Holzman et al, 2014, Uniyal et al, 2017, Schirmbeck et al, 2018 climates. This is because this index uses information on vegetation status and temperature changes, both determined by the moisture factor (Sandholt et al, 2002, Chen et al, 2015, Wang et al, 2020.…”

Section: Introductionmentioning

confidence: 99%

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Use of MODIS and OLI/TIRS to estimate TVDI and Surface Moisture in Agricultural Monitoring Programs

Schirmbeck,

Fontana,

Schirmbeck

et al. 2023

Rev. bras. meteorol.

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One of the major challenges for effective agricultural activity monitoring systems is defining robust indicators of spatial and temporal variability for the main risk factors associated with crop production. In this context, this study aimed to analyze the potential of the Temperature-Vegetation Dryness Index (TVDI), obtained by terrestrial and orbital sensors from soybean production areas in southern Brazil, in generating spatial and temporal patterns of the main risk factor, surface moisture, to be incorporated in operational agricultural monitoring systems. For this purpose, MODIS Terra and Landsat-8 OLI/TIRS sensor images were used, as well as data from surface positioned sensors to serve as a reference. The study area encompassed one soybean crop area, soybean mapped crop areas near the experimental area, and the municipality of Carazinho-RS. The experimental area was analyzed during the soybean growing season. As the TVDI data estimated by OLI/TIRS and MODIS sensors were coherent and robust, both sensors can be used in conjunction for agricultural risk monitoring. Its main features are continuous monitoring of large production regions by TVDIMODIS and spatial distribution detailing by TVDIOLI/TIRS in critical periods to water deficit.

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“…Grain yield achieved 4,629 kg ha -1 . More details on farming practices are described in Schirmbeck et al (2019).…”

Section: Methodsmentioning

confidence: 99%

Section: Obtaining Tvdimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Use of MODIS and OLI/TIRS to estimate TVDI and Surface Moisture in Agricultural Monitoring Programs

Schirmbeck,

Fontana,

Schirmbeck

et al. 2023

Rev. bras. meteorol.

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“…Para a obtenção do TVDI é necessário somente o uso de informações provenientes de imagens digitais, por exemplo, dados de faixas de luz visível, infravermelho próximo e infravermelho térmico, que quando associadas são capazes de estimar a umidade da superfície, isso torna a utilização do índice mais atrativa e computacionalmente simples de ser calculado Schirmbeck et al, 2019;Shashikant et al, 2021).…”

Section: Introductionunclassified

Estimativa do TVDI para avaliação das condições hídricas em áreas de produção de cana-de-açúcar no semiárido brasileiro.

Martins

Lopes

Martins

2022

Rev. Bras. Geog. Fis.

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da sua demanda hídrica é fundamental para o manejo adequado, podendo-se, a partir dela, avaliar e mensurar o desenvolvimento morfofisiológico das plantas, acompanhando seu crescimento ao longo de todo o ciclo. Existem diversos parâmetros biofísicos que estimam as condições hídricas da cultura, dentre eles o Temperature Vegetation Dryness Index-TVDI. O objetivo deste trabalho é utilizar o TVDI para avaliar as condições hídricas em áreas de produção de cana-de-açúcar no semiárido brasileiro, por meio da relação de parâmetros biofísicos, utilizando técnicas de geoprocessamento e sensoriamento remoto. Como resultado, obteve-se o valor de 0,64 como a maior média de TVDI em 22/09/2014 e 10/08/2016, ambas com 64,0% de superfície ressecada. A menor média de TVDI foi 0,41 em 30/05/2013. O TVDI elevado está relacionado com as fases iniciais e após a colheita, períodos em que o solo está mais exposto à radiação global aumentando o ressecamento. Os menores valores de TVDI foram encontrados nas fases de desenvolvimento avançando quando a cultura apresentou grande densidade, cobrindo o solo e diminuindo o nível de ressecamento. O TVDI se mostrou um índice capaz de analisar a complexidade das condições de ressecamento da superfície condicionada às diferentes temperaturas e diferentes níveis de biomassa da cana-de-açúcar que recobrem o solo, auxiliando no manejo da irrigação, tornando-a mais efetiva e precisaPalavras-chave: método do triângulo, geotecnologia, irrigação, ressecamento TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region.ABSTRACTSugarcane is one of the most important agricultural crops for the Brazilian market. Monitoring its water demand is essential for proper management, and from this, it is possible to evaluate and measure the morphophysiological development of plants, following their growth throughout the cycle. There are several biophysical parameters that estimate the water conditions of the crop, including the Temperature Vegetation Dryness Index – TVDI. The objective of this work was used TVDI to evaluate water conditions in sugarcane production areas in Brazil semiarid through the relationship of biophysical parameters using geoprocessing and remote sensing techniques. The highest average of 0.64 TVDI was found on the dates 2014/09/22 and 2016/08/10 both with 64.0% of dry area. The lowest TVDI average, 0.41, occurred on 2013/30/05. Elevated TVDI is related to the initial stages and after harvest, periods when the soil is most exposed to high global radiation and dryness. The lowest values of TVDI were found in the advanced development stages when the crop showed high density, covering the soil and decreasing the level of dryness. TVDI proved to be able to characterize the complexity of the dryness of the surface conditioned to the different differences and levels of sugar cane biomass that covered the soil, helping in the irrigation management, leading to more effective and accurate actions.

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TVDI Obtido de Imagens OLI/TIRS e MODIS

Cited by 2 publications

References 16 publications

Use of MODIS and OLI/TIRS to estimate TVDI and Surface Moisture in Agricultural Monitoring Programs

Use of MODIS and OLI/TIRS to estimate TVDI and Surface Moisture in Agricultural Monitoring Programs

Estimativa do TVDI para avaliação das condições hídricas em áreas de produção de cana-de-açúcar no semiárido brasileiro.

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