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Titlebook: Hydro-Climatic Extremes in the Anthropocene; Christopher Ndehedehe Book 2023 The Editor(s) (if applicable) and The Author(s), under exclus

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發(fā)表于 2025-3-21 18:57:54 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Hydro-Climatic Extremes in the Anthropocene
編輯Christopher Ndehedehe
視頻videohttp://file.papertrans.cn/431/430307/430307.mp4
概述Examines changes in hydro-climatic extremes in the Anthropocene.Explores extreme events and methods to improve understanding of climate processes.Provides fundamental understanding of the impacts of h
叢書名稱Springer Climate
圖書封面Titlebook: Hydro-Climatic Extremes in the Anthropocene;  Christopher Ndehedehe Book 2023 The Editor(s) (if applicable) and The Author(s), under exclus
描述This book explores how human civilization has contributed to changes in the Anthropocene, an era that marks a fundamental change in the way mankind has interacted with the Earth system. It examines the 21st century in the context of human development of water infrastructures, climate change impacts on freshwater resources, groundwater depletion, rising population, land use change, extreme events (droughts, floods, and wildfires). The implications of climate change impacts on environmental assets and the global water cycle are also highlighted. The book takes a pragmatically trans-disciplinary and holistic approach to the discussion of these issues, and the Earth system in the Anthropocene, drawing from a plethora of case studies. The capabilities of machine learning tools in satellite hydrology applications have been demonstrated as well as the feasibility of remote sensing data and innovative geospatial tools in environmental assessment.? The book further showcases the multiple strengths and potential of new multi-disciplinary satellite radar programmes and geodetic missions, to measure and characterize extreme events, and their links to global climate, as well as in remote sensin
出版日期Book 2023
關(guān)鍵詞Climate change; Anthropocene; Earth observation; Machine learning; Extreme events
版次1
doihttps://doi.org/10.1007/978-3-031-37727-3
isbn_softcover978-3-031-37729-7
isbn_ebook978-3-031-37727-3Series ISSN 2352-0698 Series E-ISSN 2352-0701
issn_series 2352-0698
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Springer Climatehttp://image.papertrans.cn/h/image/430307.jpg
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978-3-031-37729-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Hydro-Climatic Extremes in the Anthropocene978-3-031-37727-3Series ISSN 2352-0698 Series E-ISSN 2352-0701
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Integrated Machine Learning in Satellite Hydrologyruction process of TWS using this technique, this chapter discusses how the reconstruction of GRACE data can help improve understanding of the influence of climate variability on terrestrial hydrology.
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