Retrieval of Turbidity on a Spatio-Temporal Scale Using Landsat 8 SR: A Case Study of the Ramganga River in the Ganges Basin, India

Qingyan Meng,Mona Allam,Mohd Yawar Ali Khan

doi:10.3390/app10113702

Abstract

Nowadays, space-borne imaging spectro-radiometers are exploited for many environmental applications, including water quality monitoring. Turbidity is a standout amongst the essential parameters of water quality that affect productivity. The current study aims to utilize Landsat 8 surface reflectance (L8SR) to retrieve turbidity in the Ramganga River, a tributary of the Ganges River. Samples of river water were collected from 16 different locations on 13 March and 27 November 2014. L8SR images from 6 March and 17 November 2014 were downloaded from the United States Geological Survey (USGS) website. The algorithm to retrieve turbidity is based on the correlation between L8SR reflectance (single and ratio bands) and insitu data. The b2/b4 and b2/b3 bands ratio are proven to be the best predictors of turbidity, with R2 = 0.560 (p < 0.05) and R2 = 0.726 (p < 0.05) for March and November, respectively. Selected models are validated by comparing the concentrations of predicted and measured turbidity. The results showed that L8SR is a promising tool for monitoring surface water from space, even in relatively narrow river channels, such as the Ramganga River.

Highlights

Turbidity is animportant parameter for water quality and a surrogate for the transparency of water [1,2,3,4,5]
The results showed that Landsat 8 surface reflectance (L8SR) is a promising tool for monitoring surface water from space, even in relatively narrow river channels, such as the Ramganga River
Turbidity been used to show the general forms of these experimental equations: Statistical techniques for the derivation ofYchlorophylla (Chl-a) concentration and turbidity have

Summary

Introduction

Turbidity is animportant parameter for water quality and a surrogate for the transparency of water [1,2,3,4,5]. A decrease or increase in water transparency can adversely affect the organic components of systems that adjustto light-dispersing environments [7,8,9,10,11,12,13,14,15]. In estuarine waters with high turbidity, dissolved oxygen concentrations can significantly decrease due to irregularities in heterotrophic and autotrophic processes, which may contribute to the depletion ofmarine organisms [16,17]. Turbidity is assessed visually using aSecchi disk, or presumably through nephelometry [1,5]. These methods only represent the locations from which the sample was collected. The traditional method of water monitoring does not provide the spatial or temporal view of the entire body of water that is necessary for proper management [22]

Objectives

Results

Discussion

Conclusion