Assessment of soil quality in arid zones using principal component analysis and GIS-based modeling
Decision-makers can identify regions with very good, good, and poor soil quality by examining the generated spatial distribution maps. Additionally, they can learn how each characteristic influences plant growth. In addition, The methodology outlined in this work can be readily replicated in similar situations in arid regions, enabling local authorities and decision-makers to make use of the quantitative results achieved to guarantee long-term development.
Authors
- Mohamed E. M. Jalhoum (ORCID: https://orcid.org/0000-0002-0627-1448)
- Ibraheem A. H. Yousif (ORCID: https://orcid.org/0000-0003-2001-6264)
- Nazih Y. Rebouh (ORCID: https://orcid.org/0000-0002-8621-6595)
- Hend H. Abdelhameed
- Mohamed S. Shokr (ORCID: https://orcid.org/0000-0003-0328-7679)
- Elsayed Said Mohamed (ORCID: https://orcid.org/0000-0001-5703-4621)
- Mohammed Saeed
- Ahmed S. A. Sayed
Institutions
- National Authority for Remote Sensing and Space Sciences (EG)
- Peoples' Friendship University of Russia (RU)
- Cairo University (EG)
- Al-Azhar University (EG)
- Tanta University (EG)
- Arish University (EG)
- Desert Research Center (EG)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1371/journal.pone.0337063
- Citations
- 2
- Primary Topic
- Soil Geostatistics and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 1.60