Advanced GIScience in Hydro-Geological Hazards Applications, Modelling and Management /
In recent decades, natural hazards have increasingly threatened lives, livelihoods, and economies, with annual losses totalling billions of dollars globally. According to the Insurance Information Institute (III) and the Zebra, USA, natural disaster losses reached $74.4 billion in 2020, and an avera...
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| Altri autori: | , , |
| Natura: | Elettronico eBook |
| Lingua: | inglese |
| Pubblicazione: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edizione: | 1st ed. 2025. |
| Serie: | GIScience and Geo-environmental Modelling,
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| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/978-3-031-76189-8 |
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Sommario:
- GIScience and Earth observation Technology in Hydro-Geological hazard Analysis-An Overview
- Application of Advanced Geoinformation Science-A Disaster Risk Reduction Perspective
- New Paradigms of Decision Support Systems through Applications Leveraging Earth Observations and Machine Learning Approaches
- Soil erosion susceptibility modelling using machine learning in Guwahati urban watershed
- Flood vulnerability assessment in Jamuna (Brahmaputra) river basin, Bangladesh using remote sensing data, frequency ratio and machine learning based geospatial approach towards management strategies
- Introducing Autoencoder-Convolutional neural network for landslide susceptibility modelling in Kalimpong hill
- Artificial Neural Networks for combined forecasting of Tropical Cyclone track and intensity in the Bay of Bengal
- Geospatial approach to assess possible impact of groundwater abstraction in Bharatpur metropolitan city, Nepal
- Application of aerial photographs to monitor the dynamicsof fluvial tidal island and coastal erosion hazard in the Sundarbans delta plain of Bangladesh
- RS and GIS modelling for disaster management: Opportunities and challenges-A case study from Kerala, India
- Coastal Area Vulnerability to Cyclone Hazard-A Geoinformation and IPCC approach based study
- Spatial and Temporal Distribution of Drought in Bangladesh Using Novel China Z Index
- Livelihood vulnerability modelling with deep learning in erosion and flooding induced river islands in Ganga River corridor
- Assessment of soil erosion and landslide hazards in Rohingya refugee areas of Bangladesh: An integrated remote sensing and field observation approach
- Geospatial Analysis of River Bank Erosion-Accretion and Land Use Change of Teesta River, Bangladesh using Fuzzy ARTMAP Neural Network
- Landslides Vulnerability Assessment using Fuzzy logic based Spatial Multi-criteria Evaluation (Fuzzy-SMCE)-A Case Study from Hill Tract Districts, Bangladesh
- Impact of wetland transformation on fishing community in floodplain of Tangan River
- Multi-hazard risk assessment using Geo-statistical and Machine Learning Algorithm
- GNSS remote sensing in disaster management
- Land subsidence estimation using SAR time series data.