Artificial Intelligence Methods in the Environmental Sciences

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AI algorithms — computer systems that learn and act in response to their environment — can improve detection rates in Earth observation. In machine learning, computer algorithms are trained, in the statistical sense, to split, sort and transform data to improve dataset classification, prediction, or pattern discovery. Thanks to Earth observation projects like the CCI programme, we have huge, multi-dimensional datasets to explore. Neural networks are used to take account of cloud cover by the ESA Climate Change Initiative Ocean Colour project when generating global monthly composite map of chlorophyll concentration August AI helps by building up connections automatically.

Machine Learning Methods in the Environmental Sciences Neural Networks and Kernels

Dr Thomas Popp, who is science leader for the aerosol project, thinks there could be further benefits by using AI to retrieve additional aerosol parameters, such as their composition or absorption from several sensors at once. This would mean gathering aerosol measurements across visible, thermal, and ultraviolet spectral range, from sensors with different viewing angles. In explainable AI, techniques are being developed to shine a light into this black box to understand the physical connections.

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He is an expert of complex systems and neural network modelling and applies his studies to several environmental problems, with a particular emphasis to climate change applications. He received his Ph.

SENSE symposium: 'Innovative research techniques in Environmental Sciences'

The early segment of his research career was in quantum gravity and string theory, but then he saw the light and began learning and applying statistics and machine learning techniques to any problem he can get his hands on. See All Customer Reviews. Shop Textbooks. Add to Wishlist. USD Ship This Item — This item is available online through Marketplace sellers.

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Artificial intelligence

Buy Online, Pick up in Store is currently unavailable, but this item may be available for in-store purchase. Temporarily Out of Stock Online Please check back later for updated availability. Overview How can environmental scientists and engineers use the increasing amount of available data to enhance our understanding of planet Earth, its systems and processes? About the Author Dr.

How AI could save the environment - TechRepublic

Show More. Table of Contents Preface.


  • ISBN 13: 9780521791922.
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On performance assessment. Decision Trees.

Table of contents

Introduction to Genetic Algorithms. Introduction to Fuzzy Logic Algorithms. Nonlinear principal component analysis. Improving Computational Efficiency of Numerical Models.

Neural network modeling in climate change studies.