Geomorphic Risk Reduction Using Geospatial Methods and Tools

Lingua: inglese

Editore: SPRINGER NATURE, 2024

9819977061 / 9789819977062

Da: Buchpark, Trebbin, GermaniaBuchpark

Venditore con 5 stelle

Venditore AbeBooks dal 30 settembre 2021

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Descrizione dell’articolo da parte del venditore

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 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 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.…

Codice articolo 42493975/1

Titolo
Geomorphic Risk Reduction Using Geospatial Methods and Tools
Autore
Unbekannt
Editore
SPRINGER NATURE
Anno di pubblicazione
2024
Condizione
Hervorragend
Rilegatura
Rilegato
Lingua
inglese
ISBN 10
9819977061
ISBN 13
9789819977062
Cataloghi dei venditori
Bücher

Buchpark

Trebbin, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 30 settembre 2021

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 60 a 60 giorni lavorativiDa 60 a 60 giorni lavorativi
Primo articoloEUR 105,00EUR 130,00
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