| 書(shū)目名稱(chēng) | Geomorphic Risk Reduction Using Geospatial Methods and Tools | | 編輯 | Raju Sarkar,Sunil Saha,Rajib Shaw | | 視頻video | http://file.papertrans.cn/384/383865/383865.mp4 | | 概述 | Highlights scientific methods to reduce the geomorphic hazard impact of different regions.Provides a pathway towards the management of different geomorphic hazards risk.Applies advanced machine learni | | 叢書(shū)名稱(chēng) | Disaster Risk Reduction | | 圖書(shū)封面 |  | | 描述 | This book explores the use of advanced geospatial techniques in geomorphic hazards modelling and risk reduction. It also compares the accuracy of traditional statistical methods and advanced machine learning methods and addresses the different ways to reduce the impact of geomorphic hazards..In recent years with the development of human infrastructures, geomorphic hazards are gradually increasing, which include landslides, flood and soil erosion, among others. They cause huge loss of human property and lives. Especially in mountainous, coastal, arid and semi-arid regions, these natural hazards are the main barriers for economic development. Furthermore, human pressure and specific human actions such as deforestation, inappropriate land use and farming have increased the danger of natural disasters and degraded the natural environment, making it more difficult for environmental planners and policymakers to develop appropriate long-term sustainability plans. The most challenging task is to develop a sophisticated approach for continuous inspection and resolution of environmental problems for researchers and scientists. However, in the past several decades, geospatial technology has u | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | Geomorphic hazard; Machine learning technique; Satellite image; Resilience process; Risk reduction techn | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-7707-9 | | isbn_softcover | 978-981-99-7709-3 | | isbn_ebook | 978-981-99-7707-9Series ISSN 2196-4106 Series E-ISSN 2196-4114 | | issn_series | 2196-4106 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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