Hassan et al. (2025) Land use and land cover analysis for climate-resilient disaster management with remote sensing and geographic information system approach

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-11-28
• Authors: Afrakhteh Hassan, Ashwani Kumar Tiwari, Harshita Jain, Deepak Kumar
• DOI: 10.1016/b978-0-443-29216-3.00009-6

Research Groups

• Amity Institute of Environment Sciences, Amity University, Noida, Uttar Pradesh, India
• School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, India
• Atmospheric Sciences Group, Department of Geosciences, College of Arts & Sciences, Texas Tech University, Lubbock, TX, United States
• Center of Excellence in Weather & Climate Analytics, Atmospheric Sciences Research Center (ASRC), University at Albany, State University of New York (SUNY), Albany, NY, United States

Short Summary

This paper focuses on analyzing land use and land cover changes, particularly those driven by rapid urbanization in India, utilizing remote sensing and Geographic Information System (GIS) approaches to support climate-resilient disaster management.

Objective

• To analyze land use and land cover changes, especially those resulting from rapid and unplanned urbanization, using remote sensing and GIS for climate-resilient disaster management in India.

Study Configuration

• Spatial Scale: India (general, no specific region defined in the provided text).
• Temporal Scale: Not specified in the provided text.

Methodology and Data

• Models used: Image classification techniques (implied), Geographic Information System (GIS).
• Data sources: Remote sensing (RS) technology (visual observations, repeatable facts, reliable and unbiased information, likely satellite imagery).

Main Results

• The provided text is an introduction and does not contain main results.

Contributions

• Proposing the application of remote sensing and GIS for effective and efficient land use and land cover analysis to inform climate-resilient disaster management strategies, particularly in the context of rapid urbanization in India, addressing the limitations of traditional field surveys.

Funding

• Not mentioned in the provided text.

Citation

@article{Hassan2025Land,
  author = {Hassan, Afrakhteh and Tiwari, Ashwani Kumar and Jain, Harshita and Kumar, Deepak},
  title = {Land use and land cover analysis for climate-resilient disaster management with remote sensing and geographic information system approach},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-29216-3.00009-6},
  url = {https://doi.org/10.1016/b978-0-443-29216-3.00009-6}
}