Raj sarkar (9 Ergebnisse)
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Taschenbuch. Zustand: Neu. Neuware - In October of 2023, Prem Chowdhury, a charismatic twenty-three year old architect, travels to the picturesque town of Dayrise in Himachal Pradesh to construct a luxurious hotel only to learn about a spine-chilling secret that is lurking within its depths- an ancient vampire plagues the town.…Therefore, teaming up with newfound friends- Richard Hutson, a young graduate, Brandon Harper, a college dropout, and his younger brother, Matt Harper- the courageous quartet embarks on a thrilling adventure, risking their lives to protect the town's innocent inhabitants who are entirely dependent on them.As their battle intensifies, Prem's own inner demons emerge, giving birth to a darker personality that is the complete antithesis of his original charming nature. This burdens him even more, along with the responsibility of safeguarding his friends throughout the process while their bond strengthens.Journey with Prem and his friends in the Gothic-Horror drama as they fight together to protect everyone in the town's dark whispers.Genre - Gothic-Horror, Drama, Action, and Thriller.Category - Fiction.Reading level: (12-15)+Note - Despite the mature psychological subject matter, the narrative avoids strong language and explicit sexual content, maintaining a clean nature that makes it suitable for both mature and potentially under-aged audiences.The sequel is scheduled to release in December, 2026.
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Taschenbuch. Zustand: Neu. Geomorphic Risk Reduction Using Geospatial Methods and Tools | Raju Sarkar (u. a.) | Taschenbuch | Disaster Risk Reduction | xvii | Englisch | 2025 | Springer | EAN 9789819977093 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]spri…nger[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2025
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | 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 addresse…s 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 undergone dramatic advances, opening up new opportunities for handling environmental challenges in a more comprehensive manner. With the help of geographic information system (GIS) tools, high and moderate resolution remote sensing information, such as visible imaging, synthetic aperture radar, global navigation satellite systems, light detection and ranging, Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine and others deliver state-of-the-art investigations in the identification of multiple natural hazards. For a thorough examination, advanced computer approaches focusing on cutting-edge data processing, machine learning and deep learning may be employed. To detect and manage various geomorphic hazards and their impact, several models with a specific emphasis on natural resources and the environment may be created.
Sprache: Englisch
Verlag: Springer Nature Singapore, Springer Nature Singapore, 2024
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 reduc…e 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 undergone dramatic advances, opening up new opportunities for handling environmental challenges in a more comprehensive manner.With the help of geographic information system (GIS) tools, high and moderate resolution remote sensing information, such as visible imaging, synthetic aperture radar, global navigation satellite systems, light detection and ranging, Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine and others deliver state-of-the-art investigations in the identification of multiple natural hazards. For a thorough examination, advanced computer approaches focusing on cutting-edge data processing, machine learning and deep learning may be employed. To detect and manage various geomorphic hazards and their impact, several models with a specific emphasis on natural resources and the environment may be created.
Geomorphic Risk Reduction Using Geospatial Methods and Tools
Sarkar, Raju (Editor)/ Saha, Sunil (Editor)/ Adhikari, Basanta Raj (Editor)/ Shaw, Rajib (Editor)
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Hardcover. Zustand: Brand New. 342 pages. 9.25x6.10x9.21 inches. In Stock.
