Locally tuned model to map the chlorophyll-a and the trophic state in Porto Primavera reservoir using MODIS/Terra images

Eraso, Ricardo Javier Moncayo; Galo, Maria de Lourdes Bueno Trindade; Alcântara, Enner; Shimabukuro, Milton Hirokazu; Carmo, Alisson Fernando Coelho do

doi:10.1007/s40808-018-0415-3

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…Unlike conventional water quality monitoring methods, remote sensing can monitor a wide range of quality parameters in real time, saving time and effort [11][12][13][14]. Remote sensing has been widely used in monitoring water bodies, including water quality parameter inversion and cyanobacteria bloom monitoring [15][16][17][18][19][20][21]. Among them, the common water quality parameters that can be accurately estimated are chlorophyll a (chl-a) levels, TSM, color dissolved organic matter (CDOM), and turbidity [22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of the Total Suspended Matter Concentration in the Hongze Lake during 1984–2019 Based on Landsat Data

Lyu

et al. 2022

Remote Sensing

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The Hongze Lake is the fourth largest freshwater lake in China and an important lake for the East Route of the South-to-North Water Diversion Project. The water quality of the lake affects social development and the lives of residents. To assess the impacts of environmental changes and human activities on the distribution of the total suspended matter (TSM) in the Hongze Lake, we developed an algorithm that utilizes the near-infrared (NIR) band to estimate TSM based on in situ measurements. The algorithm was applied to Landsat images to derive TSM distribution maps from 1984 to 2019, revealing significant inter-annual, seasonal, and spatial variability. The relationship between TSM, precipitation, and wind speed was analyzed, and we found that: (1) The estimation model of TSM concentration in the Hongze Lake constructed for TM and OLI has a high accuracy, and it can be used to jointly monitor TSM concentration in the Hongze Lake for long-term series; (2) From 1984 to 2019, the concentration of TSM in the Hongze Lake showed a trend of first rising and then falling, with the maximum value in 2010 at 100.18 mg/L mainly caused by sand mining activities. Precipitation and wind speed weakly influence the inter-annual variation of TSM concentration; (3) The concentration of TSM in the Hongze Lake in summer is easily affected by flooding in the Huai River, and the concentration of TSM in other seasons is significantly negatively correlated with precipitation; (4) TSM is highest in the Huaihe Bay, followed by the Lihe Bay and Chengzi Bay. The main reason for this is that the input of the Huaihe Bay flows directly into this lake area and is also the main navigation channel. The results of this study are of great significance for the protection and management of the water environment of the Hongze Lake.

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Section: Introductionmentioning

confidence: 99%

Characteristics of the Total Suspended Matter Concentration in the Hongze Lake during 1984–2019 Based on Landsat Data

Lyu

et al. 2022

Remote Sensing

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Pollutant load discharge from a Southwestern Mediterranean river (Mazafran River, Algeria) and its impact on the coastal environment

Billal¹,

Inal²,

Mesbaiah³

et al. 2023

Arab J Geosci

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Optimización del monitoreo de la transparencia del agua, por medio de MOD09GA

Eraso¹,

Martínez

2021

Cien.Ing.Neogranadina

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El lago Guamués (LG) es considerado humedal Ramsar desde el 2000. Debido a su importancia, los ecosistemas lénticos como el LG requieren de programas de monitoreo que sobrepasen su cobertura espacial y temporal. En este estudio se demuestra que usar productos de reflectancia de superficie, generados por el sensor Modis, puede ser útil para verificar la dinámica espaciotemporal de la profundidad medida con el disco de Secchi (PDS), en el periodo 2001-2020. Para calibrar el modelo, se utilizó una imagen coincidente con los trabajos de campo realizados; se correlacionaron los datos de transparencia de la columna de agua medida con el disco de Secchi con los píxeles de la imagen captados en la banda centrada en los 858,5 nm. Para validar el modelo, se utilizó el método Leave out One Cross Validation (LOOCV). Así, se determinó que el modelo cuadrático presenta mejores resultados con un ajuste en su R2 = 0,74 y un error asociado a las observaciones inferior a los 0,013 m. El análisis espacial reveló que el LG presenta zonas localizadas en sus márgenes donde la PDS puede ser inferior a los 0,5 m. De la misma forma el promedio en su PDS para la imagen del 24 de abril es de 3,87 m. El análisis temporal del lago indica que en 2006-2008 y 2017-2020, se ha presentado mayor variabilidad para los puntos observados, con valores de 3,3 y 2,8 m, respectivamente.

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Locally tuned model to map the chlorophyll-a and the trophic state in Porto Primavera reservoir using MODIS/Terra images

Cited by 5 publications

References 19 publications

Characteristics of the Total Suspended Matter Concentration in the Hongze Lake during 1984–2019 Based on Landsat Data

Characteristics of the Total Suspended Matter Concentration in the Hongze Lake during 1984–2019 Based on Landsat Data

Pollutant load discharge from a Southwestern Mediterranean river (Mazafran River, Algeria) and its impact on the coastal environment

Optimización del monitoreo de la transparencia del agua, por medio de MOD09GA

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