Author: Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
SAGE 2 Satellite Data Set Validation Final Report
Author: SAGE 2 Satellite Data Set Validation
Author: Validation of SAM 2 and SAGE Satellite
Author: Scientific and Technical Aerospace Reports
Author: Atlas of Satellite Observations Related to Global Change
Author: Robert J. GurneyPublisher: Cambridge University Press
ISBN: 9780521434676
Category : Nature
Languages : en
Pages : 496
Book Description
Global environmental change is one of the most pressing international issues of the next century. There is a need to monitor the Earth's vital signs, from atmospheric ozone to tropical deforestation to sea level change. Models used to predict global changes have not yet fully used global observational data sets. Satellite data sets will be vital in addressing global change issues, in determining natural variability and monitoring global and regional changes. This timely volume provides an illustration of the variety of satellite-derived global data sets now available, their uses, advantages and limitations, and the range of variation that has already been observed with these data. A team of distinguished contributors provide a highly illustrated and accessible account suitable for the general scientific reader.
Departments of Veterans Affairs and Housing and Urban Development, and Independent Agencies Appropriations for 2000
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on VA, HUD, and Independent AgenciesPublisher:
ISBN:
Category : United States
Languages : en
Pages : 880
Book Description
The Earth Observer
Author: Publisher:
ISBN:
Category : Artificial satellites in earth sciences
Languages : en
Pages : 200
Book Description
Machine Learning Techniques for Space Weather
Author: Enrico CamporealePublisher: Elsevier
ISBN: 0128117893
Category : Science
Languages : en
Pages : 454
Book Description
Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning community, offering a bridge between the fields. As this volume demonstrates, real advances in space weather can be gained using nontraditional approaches that take into account nonlinear and complex dynamics, including information theory, nonlinear auto-regression models, neural networks and clustering algorithms. Offering practical techniques for translating the huge amount of information hidden in data into useful knowledge that allows for better prediction, this book is a unique and important resource for space physicists, space weather professionals and computer scientists in related fields. Collects many representative non-traditional approaches to space weather into a single volume Covers, in an accessible way, the mathematical background that is not often explained in detail for space scientists Includes free software in the form of simple MATLAB® scripts that allow for replication of results in the book, also familiarizing readers with algorithms
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