Assessment of Water Quality in Lake Qaroun Using Ground-Based Remote Sensing Data and Artificial Neural Networks

Assessment of Water Quality in Lake Qaroun Using Ground-Based Remote Sensing Data and Artificial Neural Networks

Monitoring and managing water quality parameters (WQPs) in water bodies (e.g., lakes) on a large scale using sampling-point techniques is tedious, laborious, and not highly representative. Hyperspectral and data-driven technology have provided a potentially valuable tool for the precise measurement...

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Bibliographic Details
Main Authors: Salah Elsayed, Hekmat Ibrahim, Hend Hussein, Osama Elsherbiny, Adel H. Elmetwalli, Farahat S. Moghanm, Adel M. Ghoneim, Subhan Danish, Rahul Datta, Mohamed Gad
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Water
Subjects:
artificial neural networks models
total nitrogen
non-destructive technique
water quality
lakes
Online Access:https://www.mdpi.com/2073-4441/13/21/3094

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