6 Result(s)
within
Earth Sciences
Artificial Intelligence
**li Zhang
Chapter
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Chapter
AI-Based Subsurface Thermohaline Structure Retrieval from Remote Sensing Observations
Observing the ocean’s interior is becoming extremely important since recent evidence suggests widespread warming in the subsurface and deeper ocean as a response to the Earth’s Energy Imbalance (EEI) in recent...
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Chapter
Automatic Waterline Extraction of Large-Scale Tidal Flats from SAR Images Based on Deep Convolutional Neural Networks
Extraction of the waterline in synthetic aperture radar (SAR) images, especially for the intertidal zones, is difficult to employ simple image processing operations such as grey-value thresholding due to speck...
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Chapter
Forecasting Tropical Instability Waves Based on Artificial Intelligence
The trend of quickly increasing volumes of satellite remote sensing big data and the successful application of deep learning (DL) technology to many research fields inspire us to develop a deep neural network-...
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Chapter
Satellite Data-Driven Internal Solitary Wave Forecast Based on Machine Learning Techniques
Internal solitary wave (ISW) has a great influence on marine engineering, navigation, and environment, etc. The forecast of ISWs calls for an urgent demand yet with little progress in recent years. Numerical s...
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Chapter
Reconstruction of pCO \(_{2}\) Data in the Southern Ocean Based on Feedforward Neural Network
The Southern Ocean accounts for 20% of the world’s ocean and nearly 40% of the global ocean’s total carbon sink, effectively reducing the impacts of anthropogenic carbon dioxide emissions. Due to the scarcity ...
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Chapter
Information Fusion using the Kalman Filter based on Karhunen-Loève Decomposition
Properties of porous media, such as hydraulic conductivity and porosity, are intrinsically deterministic. However, due to the high cost associated with direct measurements, these properties are usually measure...
