Water Quality Parameters for Khadakwasala Dam derived using Landsat 8 OLI Surface Reflectance
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https://data.mendeley.com/datasets/nwp835npgk
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资源简介:
Format of the Data:
The data consists of images in .tiff format.
Description:
This dataset contains images representing the concentrations of Chlorophyll, Turbidity, Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD) and Dissolved Oxygen (DO) for the Khadakwasala Dam. The concentrations have been derived from various surface reflectance bands obtained from Landsat 8 OLI.
The relationship between Landsat surface reflectance and optically sensitive water quality parameters such as turbidity and chlorophyll, using a stepwise regression model, is developed. Parameters that are optically non-sensitive, such as COD, BOD and DO, are not directly inferred from the surface reflectance. The process entails formulating a secondary interrelation between the optically sensitive and non-sensitive parameters.
Equations Used:
Chlorophyll=-0.1551*B3/B2 - 0.9551*B4 + 1.5376*(B3+B4) - 2.1244*B2 - 0.4921*B5 + 0.3683*B2 + 0.3141
Turbidity =1.012*B2/B1 + 1.021
Where B1, B2, B3, B4 and B5 are Top of Atmospheric Surface Reflectance derived from Landsat 8 OLI surface reflectance bands
COD = -233.1802*Chlorophyll - 17.1638*Turbidity + 89.4429
BOD = -0.869*Turbidity + 5.6707
DO = -0.6339*Turbidity + 8.9572
Where Chlorophyll and Turbidity derived in eralier equation above using Surface Reflectance bands of Landsat 8 OLI
Time Span for Availability
From: 20th October 2022
To: 22nd April 2023
Nomenclature
The files in this dataset follow the naming convention:
Water Quality Parameter_YEARMMDD_Khadakwasala.tiff
Caution Note:
These equations are specific to the conditions at the Khadakwasala Dam and may not accurately predict concentrations for other water bodies. Users should exercise caution when applying these equations to different contexts.
Acknowledgement:
Thanks to Water Resource Department Maharashtra, India Pune Division for permission to access the site for the periodic water sampling for testing purpose.
创建时间:
2024-08-06



