Kumar et al. (2025) Integrating climate data for agricultural resilience using geospatial approaches

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-12-05
• Authors: Kishan Kumar, Ghazaala Yasmin
• DOI: 10.1016/b978-0-443-34113-7.00003-1

Research Groups

• Department of CSIS, University of Limerick, Limerick, Ireland
• Department of Computer Science and Engineering/Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India

Short Summary

This chapter explores the integration of climate data using geospatial approaches, specifically remote sensing and Geographic Information Systems (GIS), to enhance agricultural resilience against climate change-induced natural disasters. It highlights how these technologies improve disaster response, prevention, and the creation of timely, precise assessments for agricultural communities.

Objective

• To demonstrate how integrating climate data with geospatial approaches (remote sensing and GIS) can improve agricultural resilience, disaster response, and prevention against climate change effects and natural disasters.

Study Configuration

• Spatial Scale: Large geographical areas, including sensitive agricultural regions and vital infrastructure.
• Temporal Scale: Implied real-time or near real-time for early warning systems and timely data collection for disaster response.

Methodology and Data

• Models used: Geospatial approaches, remote sensing, Geographic Information Systems (GIS), spatial analytical analysis.
• Data sources: Climate data, remote sensing images, aerial drone data (for spatial analytical analysis).

Main Results

• Geospatial technologies, particularly remote sensing and GIS, are increasingly effective for agricultural disaster response and prevention.
• These technologies enable accurate and timely data collection over large geographical areas, improving assessments of agricultural disaster effects.
• GIS streamlines the creation of precise and rapid maps for sensitive areas, vital infrastructure, and agricultural damage assessments.
• The integration of climate data through these approaches supports efficient early warning systems and disaster risk reduction planning for agricultural producers.

Contributions

• This article emphasizes the critical role and rising popularity of geospatial technologies in building agricultural resilience against climate change and natural disasters.
• It highlights the practical benefits of remote sensing and GIS in providing accurate, timely, and spatially explicit information for disaster response and prevention in agriculture.
• It underscores the importance of data integration and collaborative approaches for comprehensive disaster management in rural communities.

Funding

• Not specified in the provided text.

Citation

@article{Kumar2025Integrating,
  author = {Kumar, Kishan and Yasmin, Ghazaala},
  title = {Integrating climate data for agricultural resilience using geospatial approaches},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-34113-7.00003-1},
  url = {https://doi.org/10.1016/b978-0-443-34113-7.00003-1}
}