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Advanced machine learning and deep learning approaches for remote sensing
Provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These techniques are computationally intensive and require the help of high-performance computing devices. With the development of devices such as GPUs, remote sensing technology, and aerial sensing technology, it is possible to monitor the Earth with high-resolution images and to obtain vast amounts of Earth observation data. The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology.
Managing Forest Ecosystems : The Challenge of Climate Change
With climate change now charging up the political agenda, there are three issues commonly making the headlines: carbon budgets, renewable energy, and the anticipated impacts of climate change. Equally important, though currently less well covered, is the issue how these effects might be mitigated. Given the significant role that forests play in the climate system – as sources, sinks, and through carbon trading – this book discusses the current scientific evidence on the relationships between climate, forest resources and forest management practices around the world. Drawing on expertise from forest scientists from several continents, the book presents both in depth analysis of the current knowledge, and a series of case studies which assess the biological and the economic impacts of climate change. It includes sections on forest responses to climate change, monitoring and modeling changes, economic and management implications, and carbon sequestration under specific management systems.
Climate and Land Degradation
In many parts of the world, climatic variations are recognized as one of the major factors contributing to land degradation impacting on agricultural systems performance and management. To accurately assess sustainable land management practices, the climate resources and the risk of climate-related or induced natural disasters in a region must be known. Only when climate resources are paired with management or development practices can the land degradation potential be assessed and appropriate mitigation technologies be developed. This book is based on an International Workshop held in Arusha, Tanzania and should be of interest to all organizations and agencies interested in sustainable land management to arrest land degradation.
