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The STEREO Mission
C. T. Russell Originally published in the journal Space Science Reviews, Volume 136, Nos 1–4. DOI: 10. 1007/s11214-008-9344-1 © Springer Science+Business Media B. V. 2008 The Sun-Earth Connection is now an accepted fact. It has a signi cant impact on our daily lives, and its underpinnings are being pursued vigorously with missions such as the Solar TErrestrial RElations Observatory, commonly known as STEREO. This was not always so. It was not until the middle of the nineteenth century that Edward Sabine connected the 11-year geomagnetic cycle with Heinrich Schwabe’s deduction of a like periodicity in the sunspot record. The clincher for many was Richard Carrington’s sighting of a grea...
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.
Sugarcane
This book provides a precise and meticulous overview of the technology of developing energy cane. It highlights how technology has transformed the opinion of growers to cultivate sugarcane from an agronomic to a purpose-grown crop. Chapters in this book provide essentials for developing sugarcane for high-sugar contents, bioethanol, and biodiesel to meet the emerging demands of the world.
