Landsat data to estimate a model of water quality parameters in Tigris and Euphrates rivers – Iraq

Аббас,

doi:10.21833/ijaas.2019.05.009

Cited by 7 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The spectral signature is related by measuring changes in empirical or analytical models to WQPs. The optimal wavelength used in WQP measurement is a function of the constituent being measured and the sensor characteristics [145]. Researchers in [5,144] outlined the different approaches by which WQPs are extracted from remotely sensed spectral data.…”

Section: Rs Retrieval Of Water Quality Parametersmentioning

confidence: 99%

Overview of the Application of Remote Sensing in Effective Monitoring of Water Quality Parameters

et al. 2023

View full text Add to dashboard Cite

This study provides an overview of the techniques, shortcomings, and strengths of remote sensing (RS) applications in the effective retrieval and monitoring of water quality parameters (WQPs) such as chlorophyll-a concentration, turbidity, total suspended solids, colored dissolved organic matter, total dissolved solids among others. To be effectively retrieved by RS, these WQPs are categorized as optically active or inactive based on their influence on the optical characteristics measured by RS sensors. RS applications offer the opportunity for decisionmakers to quantify and monitor WQPs on a spatiotemporal scale effectively. The use of RS for water quality monitoring has been explored in many studies using empirical, analytical, semi-empirical, and machine-learning algorithms. RS spectral signatures have been applied for the estimation of WQPs using two categories of RS, namely, microwave and optical sensors. Optical RS, which has been heavily applied in the estimation of WQPs, is further grouped as spaceborne and airborne sensors based on the platform they are on board. The choice of a particular sensor to be used in any RS application depends on various factors including cost, and spatial, spectral, and temporal resolutions of the images. Some of the known satellite sensors used in the literature and reviewed in this paper include the Multispectral Instrument aboard Sentinel-2A/B, Moderate Resolution Imaging Spectroradiometer, Landsat Thematic Mapper, Enhanced Thematic Mapper, and Operational Land Imager.

show abstract

Section: Rs Retrieval Of Water Quality Parametersmentioning

confidence: 99%