The box diagram (Box Plot) applied to the analysis of the temporal distribution of
            rainfall in Januária, Belo Horizonte and Sete Lagoas, Minas Gerais, Brazil

Silva, Marina Rozendo; Moura, Felipe Pereira de; Jardim, Carlos Henrique

doi:10.5935/1984-2295.20170003

Cited by 10 publications

(3 citation statements)

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“…Regarding climate, the region is characterized as having a dry season lasting approximately six months, between April and September, with around 80% of the total accumulated annual precipitation -nearly 1460 mm (Silva et al, 2017) -occurring during the rainy season (October to March). In the summer, continental warming generates intense, low-pressure, spatially distributed cells, favoring the formation of heavy rains, which are often accompanied by winds, thunderstorms, and hail (Abreu, 1998).…”

Section: Characterization Of the Study Areamentioning

confidence: 99%

Intensity-duration-frequency curves in the municipality of Belo Horizonte from the perspective of non-stationarity

Nunes

Pinto

Baptista

et al. 2021

RBRH

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The study of changes in hydrological data series is of great scientific and practical importance for water resources systems, since these are normally projected based on the assumption that time series is statistically stationary. However, such assumption may not be verified when aspects as changes or climatic variability are considered. In this sense, the present study sought to identify trends in maximum rainfall intensities in Belo Horizonte (MG) and propose, in view of the observed results, a new intensity-duration-frequency (IDF) curve from the perspective of non-stationarity. For the trend analysis, statistical tests were applied, and an adaptation of the concept “Minimax Design Life Level” was proposed to quantify rainfall intensities and fit a non-stationary IDF curve. As a result, different trends were detected, with an increase in rainfall intensities for durations equal to or less than 1 hour starting in 2000. Regarding the IDF relationships, the obtained rain intensities were up to 48% higher than current estimates. Our results emphasize the need to periodically review IDF relationships in order to avoid under or overestimation in the design of hydraulic structures.

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Section: Characterization Of the Study Areamentioning

confidence: 99%

Intensity-duration-frequency curves in the municipality of Belo Horizonte from the perspective of non-stationarity

Nunes

Pinto

Baptista

et al. 2021

RBRH

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“…, Spinelli et al, (2016). Souza et al, (2016), Costa e Silva (2017), muitos deles para avaliação multitemporal, Araújo e Fonseca (2016), Silva et al, (2017), Schirmbeck (2017). Vieira et al, (2017), Yurovskaya et al, (2018), Kotivuori et al, (2020), Bandini et al, (2020).…”

Section: Introductionmentioning

confidence: 99%

Estimation of NDVI with visible images (RGB) obtained with drones

Galvíncio

Naue²

2020

Jour. Hypers. Rem. Sensg.

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The NDVI (Normalized Difference Vegetation Index) is a vegetation index widely used to evaluate the health conditions of vegetation, whether preserved or derived from anthropic actions, such as agriculture. NDVI's estimation with drones is still quite precarious as it requires different studies to assess their accuracy. The aim of this study is to evaluate the NDVI estimate obtained with images of the visible attention to radiometric calibrations. Radiometric calibration equations that were widely disseminated for the use of Landsat 5 satellite were used. These equations were used to calibrate drone images. The results showed that the calibrations raised the level of accuracy of NDVI estimates with drone images. It is concluded that it is of paramount importance the radiometric calibration of the images obtained with drones so that they allow more accurate estimates, such as NDVI. The use of drone products to estimate NDVI is quite promising. But it is necessary to study more robust radiometric calibration procedures, increasing the quality of data products from drones and making it more comparable between sites, sensors, and schedules.Estimativa do NDVI com imagens do visível (RGB) obtidas com drones R E S U M OO NDVI (Normalized Difference Vegetation Index) é um índice de vegetação muito utilizado para avaliação das condições de saúde da vegetação, seja ela preservada ou advinda das ações antrópicas, como por exemplo, agricultura. A estimativa do NDVI com drones ainda é bastante precária uma vez que necessita de diferentes estudos para avaliar a precisão deles. O objetivo deste estudo é avaliar a estimativa do NDVI obtidas com imagens do visível atentando para as calibrações radiométricas. Foram utilizadas equações de calibração radiométricas bastantes difundidas para uso do satélite Landsat 5. Essas equações foram utilizadas para calibração de imagens de drones. Os resultados mostraram que as calibrações elevaram o nível de acurácia das estimativas do NDVI com imagens de drones. Conclui-se que é de suma importância a calibração radiométrica das imagens obtidas com drones para que elas possibilitem estimativas mais precisas, como por exemplo o NDVI. O uso de produtos de drones para estimativa de NDVI é bastante promissor. Mas, se faz necessário o estudo de mais procedimentos robustos de calibração radiométrica, aumentando a qualidade dos produtos de dados advindos de drones e tornando mais comparáveis entre sites, sensores e horários.Palavras-chave: Calibração radiométrica, condições ambientais, monitoramento.

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“…Em Januária, por exemplo, no limite sul dessa unidade, chove em média 826,5 mm para o período de 1961-1990, valor acima do semiárido típico. E o ritmo também é diferenciado como mostraSilva et al (2017). Como mostram os autores, embora guarde estreita relação com qualquer situação.…”

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Unidades Climáticas Em Unaí, Noroeste Do Estado De Minas Gerais-Brasil: Proposta Preliminar

Silva

Jardim

2019

Geogr. Opport. Temp.

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A compreensão dos processos que organizam as relações entre os componentes atmosféricos (atributos climáticos e massas de ar) e os fatores de superfície (solos, relevo, vegetação etc.) é fundamental para a identificação das unidades climáticas. Nesse sentido, o objetivo deste artigo foi apresentar proposta de compartimentação climática para a região de Unaí, noroeste do estado de Minas Gerais, considerando as variações dos atributos climáticos (chuva e temperatura do ar) em interação com a dinâmica das massas de ar e relevo (topografia). O documento produzido teve a finalidade de suprir lacunas na caracterização do clima dessa região quanto aos mecanismos e processos atuantes para compreensão da variabilidade temporal e espacial da chuva e temperatura do ar.

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The box diagram (Box Plot) applied to the analysis of the temporal distribution of rainfall in Januária, Belo Horizonte and Sete Lagoas, Minas Gerais, Brazil

Cited by 10 publications

References 0 publications

Intensity-duration-frequency curves in the municipality of Belo Horizonte from the perspective of non-stationarity

Intensity-duration-frequency curves in the municipality of Belo Horizonte from the perspective of non-stationarity

Estimation of NDVI with visible images (RGB) obtained with drones

Unidades Climáticas Em Unaí, Noroeste Do Estado De Minas Gerais-Brasil: Proposta Preliminar

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