Afranium/Water-Monitoring-Research-Satellite-and-Machine-learning-framework-

Domain:

environment and energygeospatial

Record type:

project

Creator:

Afr

Host:

This research proposes a satellite remote sensing and machine learning framework for monitoring Weija Reservoir in Accra, Ghana, as a cost-effective and spatially comprehensive alternative to the traditional water quality monitoring methods currently used at the reservoir.

Visit

github.com

Languages

Monitoring hydropower reliability in Malawi with satellite data and machine learning

Abstract Hydro-climatic extremes can affect the reliability of electricity supply,

watex: Machine learning research in water exploration

WATex is a Python librar

Satellite Remote Sensing and Machine Learning to Monitor Surface Water Resources in Ethiopia

This study demonstrates that integrating cloud-based remote sensing and machine learning provides a

A Convergent Satellite and Machine Learning Framework for Discharge Estimation in Ungauged Wetland Basins

Research Data and Model Outputs: A Convergent Satellite and Machine Learning

Akajiaku11/Hybrid-Machine-Learning-Framework-for-Water-Quality-Assessment-and-Contamination-Clustering

Hybrid Machine Learning Framework for Water Quality Assessment and Contamination Clustering in the N

A framework for grassroots research collaboration in machine learning and global health

Traditional top-down approaches for global health have historically failed to achieve socia