Shridhar D. Jawak – författare
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2 produkter
2 163 kr
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ADVANCES IN REMOTE SENSING TECHNOLOGY AND THE THREE POLES Covers recent advances in remote sensing technology applied to the “Three Poles”, a concept encompassing the Arctic, Antarctica, and the Himalayas Advances in Remote Sensing Technology and the Three Poles is a multidisciplinary approach studying the lithosphere, hydrosphere (encompassing both limnosphere, and oceanosphere), atmosphere, biosphere, and anthroposphere, of the Arctic, the Antarctic and the Himalayas. The drastic effects of climate change on polar environments bring to the fore the often subtle links between climate change and processes in the hydrosphere, biosphere, and lithosphere, while unanswered questions of the polar regions will help plan and formulate future research projects. Sample topics covered in the work include: Terrestrial net primary production of the Arctic and modeling of Arctic landform evolutionGlaciers and glacial environments, including a geological, geophysical, and geospatial survey of Himalayan glaciersSea ice dynamics in the Antarctic region under a changing climate, the Quaternary geology and geomorphology of AntarcticaContinuous satellite missions, data availability, and the nature of future satellite missions, including scientific data sharing policies in different countriesSoftware, tools, models, and remote sensing technology for investigating polar and other environmentsFor postgraduates and researchers working in remote sensing, photogrammetry, and landscape evolution modeling, Advances in Remote Sensing Technology and the Three Poles is a crucial resource for understanding current technological capabilities in the field along with the latest scientific research that has been conducted in polar areas.
2 971 kr
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This book introduces the reader to applications of machine learning (ML) in Earth Sciences. In detail, it describes the basic application of machine learning algorithms and models and their potential in Earth Sciences. It discusses the use of several tools and software and the typical workflow for ML applications in Earth Sciences. This book provides a comparative analysis of how standard processes and ML algorithms work in several Earth Sciences applications. Case studies from the various fields of Earth Sciences are presented to illustrate how to apply ML and Deep Learning, these include regression, forecasting, time series analysis in Climate studies, classification methods using multi-spectral data clustering, and dimensionality reduction in classification. This book reviews ML/AI models, algorithms, and methods, analyse case studies, and examine methods of application of ML/AI techniques to specific areas of Earth Sciences. It aims to serve all professionals, and researchers, scientists alike in academics, industries, government, and beyond.