Mokhtarisabet et al. (2025) Comparison of water and flood spreading area against nonspreading and control area using remote sensing, GIS, and statistical analysis

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-11-28
• Authors: Sadegh Mokhtarisabet, Mahbobeh Kamelnarestan, Ali Akbar Jamali
• DOI: 10.1016/b978-0-443-29104-3.00008-2

Research Groups

• Department of Remote Sensing and GIS, Yazd Branch Islamic Azad University, Yazd, Iran
• Department of Natural Resources and Environment, Birjand University, Birjand, Iran
• Department of GIS-RS and Watershed Management, Islamic Azad University, Meybod, Yazd, Iran

Short Summary

This study aims to compare the characteristics of water and flood spreading areas against non-spreading and control areas using remote sensing, GIS, and statistical analysis.

Objective

• To compare water and flood spreading areas against non-spreading and control areas using remote sensing, GIS, and statistical analysis.

Study Configuration

• Spatial Scale: Not explicitly stated, but implies a local or regional scale based on the nature of the study area.
• Temporal Scale: Not explicitly stated, but involves analysis of satellite images over an unspecified period.

Methodology and Data

• Models used: Land Change Modeler (LCM), NDVI classification, Statistical analysis of systematic points.
• Data sources: Remote sensing (satellite images), GIS.

Main Results

Not provided in the given text, which is an outline/abstract.

Contributions

The study's contribution lies in providing a comparative analysis of water and flood spreading areas against non-spreading and control areas using remote sensing, GIS, and statistical methods. Specific novel contributions are not detailed in the provided outline.

Funding

Not provided in the given text, which is an outline/abstract.

Citation

@article{Mokhtarisabet2025Comparison,
  author = {Mokhtarisabet, Sadegh and Kamelnarestan, Mahbobeh and Jamali, Ali Akbar},
  title = {Comparison of water and flood spreading area against nonspreading and control area using remote sensing, GIS, and statistical analysis},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-29104-3.00008-2},
  url = {https://doi.org/10.1016/b978-0-443-29104-3.00008-2}
}