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Natural Resource Monitoring, Planning and Management Based on Advanced Programming

This book focuses on cloud-based platforms such as Google Earth Engine (GEE) for big data analysis using machine learning models and programming approaches to assess water and other natural resources, flood impact, land use land cover (LULC), global forest change, global forest canopy height and pan...

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Bibliografiska uppgifter
Institutionell upphovsman: SpringerLink (Online service)
Övriga upphovsmän: Mishra, Arun Pratap (Utgivare, redaktör, sammanställare), Kaushik, Atul (Utgivare, redaktör, sammanställare), Pande, Chaitanya B. (Utgivare, redaktör, sammanställare)
Materialtyp: Elektronisk E-bok
Språk:engelska
Publicerad: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Upplaga:1st ed. 2024.
Serie:Advances in Geographical and Environmental Sciences,
Ämnen:
Climatology.
Natural disasters.
Power resources.
Machine learning.
Quantitative research.
Climate Sciences.
Natural Hazards.
Natural Resource and Energy Economics.
Machine Learning.
Data Analysis and Big Data.
Länkar:https://doi.org/10.1007/978-981-97-2879-4
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Innehållsförteckning:
  • Introduction
  • A Geographical Investigation of the Rishiganga Disaster in Uttarakhand, India
  • Multi-temporal analysis of vegetation extent using Google Earth Engine
  • Spatial Prediction Modelling of Landslide Susceptibility Assessment Using Statistical Information Value Model-A Case Study of Dharchula, Pithoragarh District Uttarakhand, India
  • Spatiotemporal change analysis of urbanization in Gurugram District of Haryana, India using a geospatial technique
  • Rapid assessment of flood inundation due to tropical cyclones in part of Sundarbans in Google Earth Engine environment
  • Random Tree Classifier for Land Use Classification in Hilly Terrain Using Sentinel-2 Imagery: A Case Study of Almora Town, Uttarakhand, India
  • Temporal Investigation of Chlorophyll-a in the Bhimgoda Barrage and Wetland Landscape Using Remote Sensing and GIS
  • People’s perception-based identification of climate change risks faced by the smallholder community of the western Indian Himalayan region
  • Development of a new built-up index: Studying the impact of tree and building height variation on Urban thermal field variance index
  • Spectroscopy and Machine Learning: Revolutionizing Soil Quality Monitoring for Sustainable Resource Management
  • Quantification of sedimentation of a tropical reservoir through satellite altimetry: A case study of Maithon reservoir
  • Conclusion.

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