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Titlebook: Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems; Tanupriya Choudhury,Bappaditya Koley,Atul

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發(fā)表于 2025-3-21 19:47:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems
編輯Tanupriya Choudhury,Bappaditya Koley,Atul Kumar Pa
視頻videohttp://file.papertrans.cn/384/383016/383016.mp4
概述Offers a multidisciplinary approach to assess impacts of geo-environmental hazards.Describes the stages needed to progress from a pile of data to an actionable plan.Explains how to use data-driven tec
叢書(shū)名稱(chēng)Advances in Geographic Information Science
圖書(shū)封面Titlebook: Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems;  Tanupriya Choudhury,Bappaditya Koley,Atul
描述.This edited collection provides a comprehensive exploration of cutting-edge ideas, approaches, simulations, evaluations of risk, and systems that enhance the practicality of current geospatial technologies for reducing hazard risks. The various sections within this book delve into subjects such as the foundational principles of Earth Observation Systems (EOS) and geospatial methodologies. Additionally, the text serves as an advisory resource on the collaborative use of satellite-derived data and artificial intelligence to track and alleviate geo-environmental threats.?.The volume imparts extensive understanding regarding geo-environmental dangers and their analysis via EOS along with geospatial strategies. It encompasses key hazard-related themes including coastal degradation, predisposition to landslides, mapping vegetation coverages, tropical storm patterns, soil depletion due to erosion processes, vulnerability to rapid or extended flooding events, variations in oceansurface temperatures alongside chlorophyll-a levels; it also addresses assessments related to groundwater reserves and quality measures as well as sustainable management practices for watersheds that support commun
出版日期Book 2024
關(guān)鍵詞Artificial intelligence; Earth observation systems; Remote sensing; Sustainable management; Geospatial t
版次1
doihttps://doi.org/10.1007/978-3-031-53763-9
isbn_softcover978-3-031-53765-3
isbn_ebook978-3-031-53763-9Series ISSN 1867-2434 Series E-ISSN 1867-2442
issn_series 1867-2434
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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發(fā)表于 2025-3-21 20:47:16 | 只看該作者
https://doi.org/10.1007/978-3-642-94305-8ted in the Southern Ethiopian Rift Valley. Consequently, land becomes degraded, biodiversity declines, and agricultural production decreases. Identification of susceptible soil erosion zones is highly needed to develop effective soil erosion management and conservation plans. The present study mainl
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https://doi.org/10.1007/978-3-663-16117-2s such as net shoreline movement (NSM) and linear regression rate (LRR) were computed along 37.8 km stretch of the BS coast using the Digital Shoreline Analysis System (DSAS) software. About 81.7% of the shore eroded between 1975 and 1989, but between 1989 to 2005 and 2005 to 2020, this percentage s
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,Die Niederdruckentladung mit Glühkathode,nthropogenic activities have put the bio–geo ecosystems under tremendous stress. The deterioration of coastal waters has become a global occurrence due to pollution and coastal eutrophication, negatively impacting marine biodiversity. This work uses remote sensing datasets to quantitatively demonstr
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https://doi.org/10.1007/978-3-663-04622-6m plains. Due to landslides, the lives of human beings get endangered along with economic loss to a large extent. Susceptibility assessment and mapping are crucial aspects of the mitigation and management of landslide catastrophes in a region. This study was undertaken in a quest to assess the perfo
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發(fā)表于 2025-3-22 14:24:27 | 只看該作者
https://doi.org/10.1007/978-3-662-26277-1one hilly states. Nainital, Udham Singh Nagar, and Haridwar are the three main districts prone to flood. Also, the National Institute of Disaster Management Report on Uttarakhand’s disaster in 2013 mentions that Nainital and Udham Singh Nagar districts witnessed major flash floods several times. The
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https://doi.org/10.1007/978-3-322-88418-3looding that affects millions of Filipinos. Mapping flooding hazards, especially in remote areas of the country, can provide essential inputs to manage and reduce the risk and impact of flooding on different infrastructures, properties, and people. Statistical and machine learning approaches have pr
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發(fā)表于 2025-3-23 01:07:30 | 只看該作者
Beratungsangebot der Hanauer Hilfe e.V.th urban and rural areas, protecting groundwater from harmful factors is a top priority. Managing groundwater quality, however, requires a variety of methods, including hydrochemical mapping and quality monitoring to understand its variability over time and space as well as its long-term trend, the
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