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Application of Machine Learning Model for Assessing Water Quality Index
Predicting water quality is essential for safeguarding public health, protect the environment, ensuring sustainable resource management, and meet...
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Surface Water Quality Forecasting Using Machine Learning Approach
Surface water resources play a crucial role in drinking, industrial and agricultural domains. Since anthropogenic and environmental pollution sources...
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A Literature Review on Machine Learning to Optimize Water Network Management Using Natural Language Processing
In this study, natural language processing is proposed to automatize the extraction of information from an extensive number of scientific manuscripts...
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Applications of Machine Learning Algorithms via Google Earth Engine Interface to Interpret Snowline Altitudes: A Case Study in Chandra Basin
Cryospheric components are sensitive to changes in climate and monitoring them is a challenging task in the rugged topography of the Himalaya. Many...
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Water Quality Assessment from Medium Resolution Satellite Data Using Machine Learning Methods
Primary productivity expressed as the abundance of phytoplankton measured by the chlorophyll-a concentration (Chl-a), and water clarity in terms of...
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Crop Classification in the Mixed Crop** Environment Using SAR Data and Machine Learning Algorithms
Timely preparation of crop inventory is required to ensure food security in the region. Conventional methods of crop inventory are time-consuming and...
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Evapotranspiration Importance in Water Resources Management Through Cutting-Edge Approaches of Remote Sensing and Machine Learning Algorithms
Evapotranspiration (ET) is an important component of the water cycle and agricultural water balance. Planning, managing, and regulating agricultural...
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Study on Fish Swimming Behavior Affected by Obstacles Based on Machine Learning
The characteristics of water flow under natural conditions are usually very complex, and the variability of their flow patterns are strongly...
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Study on Forecasting and Alarming Model of Flash Flood Based on Machine Learning
In the past decade, more than 300 people die a year due to mountain torrents in china on average. Flood forecast and early warning is an important...
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Regional Map** of Groundwater Potential Zones in the Saudi Arabia Using Remote Sensing and Machine Learning Algorithms
The Arabian PeninsulaArabian Peninsula desert is among the driest regions on Earth and climate and rainfall pattern changes might affect groundwater...
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Delineation and Monitoring of Wetlands Using Time Series Earth Observation Data and Machine Learning Algorithm: A Case Study in Upper Ganga River Stretch
Wetlands are unique and valuable ecosystems and are the traditional zones between land and water. They are considered to be one of the most important...
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Further Enhancement of Satellite DEM Resolution and Accuracy Using Machine Learning and Remote Sensing Data
Having a high-resolution and high-accuracy Digital Elevation Model (DEM) is essential for flood modelling to increase the reliability of the...
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Automatic Extraction of Surface Water Bodies from High-Resolution Multispectral Remote Sensing Imagery Using GIS and Deep Learning Techniques in Dubai
Acquiring vector feature layers such as surface water bodies from high-resolution remote sensing (HRRS) imagery has gained growing scientific...
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Deep Learning for Hydrometeorology and Environmental Science
This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural...
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Troubles in the Paradise: Hydrology Does not Respond to Newtonian Mechanics and the Rise of Machines
There are two broad approaches to doing science: deduction and induction. While the primary objective of a deductive approach is the application of a...
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Application of Machine Learning Techniques for Clustering of Rainfall Time Series Over Ganges River Basin
The active growing population and urbanization have resulted in some changes in climatic variables which may have some influence over the rainfall....
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Hydrometeorological Applications of Deep Learning
Deep learning models have been applied for hydrometeorological applications. In this chapter, a few of them are explained. In the field of...
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Surface and Groundwater Resources Development and Management in Semi-arid Region Strategies and Solutions for Sustainable Water Management
This book explains the challenges for efficient sustainable surface and groundwater development and management with the focus on India and other...
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Tensorflow and Keras Programming for Deep Learning
Tensorflow is an end-to-end open-source platform for machine learning containing a comprehensive, flexible ecosystem of tools, libraries, and...
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A Spatiotemporally-Mixed-Runoff-Model-Based Artificial Intelligence Parameter Regionalization Application in Henan Province of China
The small-sized catchment in China often characterized with complex topography and geomorphology. And the mountainous small-sized catchments has...