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Titlebook: Snow Cover Distribution and Dynamics; The Trans-Himalayan Stanzin Passang Book 2024 The Editor(s) (if applicable) and The Author(s), under

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书目名称Snow Cover Distribution and Dynamics
副标题The Trans-Himalayan
编辑Stanzin Passang
视频video
概述Understanding the changing nature of snow distribution in Ladakh.Examines availability of freshwater from seasonal snow melt.Results from‘Moderate Resolution Imaging Spectroradiometer (MODIS) daily sn
丛书名称Advances in Asian Human-Environmental Research
图书封面Titlebook: Snow Cover Distribution and Dynamics; The Trans-Himalayan  Stanzin Passang Book 2024 The Editor(s) (if applicable) and The Author(s), under
描述.This comprehensive book examines a high mountain snow-covered expanse, spanning an investigation period of almost two decades. Leveraging advanced remote sensing and innovative algorithms, it meticulously maps the temporal and spatial dimensions of the snow cover extent of Ladakh, India. Rigorous statistical analyses, terrain examinations, and a groundbreaking snowfall prediction model contribute to a nuanced understanding. Grounded in empirical data, the volume not only enriches the research framework but also serves as a guiding compass for sustainable development amid the challenges of global warming. Seamlessly blending scientific rigour with a passion for discovery, the book invites readers to immerse themselves in a captivating snow-clad terrain, unlocking the secrets of its unique environment...Snow Cover Distribution and Dynamics: The Trans-Himalayan Region of Ladakh, India is divided into five chapters. The book begins with an introduction and a comprehensive overview of the materials and methods used in the study. The focus is on the application of the MODIS NDSI snow mapping algorithm, validated using Landsat images. The research also involves the development of innovat
出版日期Book 2024
关键词snow cover; snow cover detection; snow cover distribution; seasonal snow patterns; cryosphere research
版次1
doihttps://doi.org/10.1007/978-3-031-57692-8
isbn_softcover978-3-031-57694-2
isbn_ebook978-3-031-57692-8Series ISSN 1879-7180 Series E-ISSN 1879-7199
issn_series 1879-7180
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-031-57692-8snow cover; snow cover detection; snow cover distribution; seasonal snow patterns; cryosphere research
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Introduction,, this chapter provides insights into the local climate, socio-economic conditions, flora, and fauna. Through this study, we gain a deeper understanding of the intricate interplay between changing snow cover and Ladakh’s distinct socio-environmental context, emphasising the indispensable role of the
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Data and Methods for Snow Cover Detection,atersheds through an assortment of statistical approaches. These range from linear regression to the Mann-Kendall (MK) test with a two-variance correction, Sen’s slope trend, and Pearson’s r and Spearman’s . correlation coefficient tests. In situ field survey data and meteorological data of custom-m
发表于 2025-3-22 21:46:46 | 显示全部楼层
Snow Cover Distribution in Ladakh,ed on altitude, slope inclination, and orientation. An Autoregressive Integrated Moving Average (ARIMA) model predicts snow cover dynamics, comparing measured and modelled data. Field-collected snow thickness and water equivalent data validate findings. The snow line for the winter of 2016 presents
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Synthesis and Insights Charting the Future of Cryospheric Research in Ladakh,k propounds the future research direction, including deploying high-resolution data and time-lapse cameras for nuanced, subregional analyses and maintaining Sentinel-3 and MODIS data continuity to monitor environmental changes. These efforts are vital for sustainable development and informed decisio
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Book 2024ivided into five chapters. The book begins with an introduction and a comprehensive overview of the materials and methods used in the study. The focus is on the application of the MODIS NDSI snow mapping algorithm, validated using Landsat images. The research also involves the development of innovat
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