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Quantitative Estimation of Saline-Soil Amelioration Using Remote-Sensing Indices in Arid Land for Better Management

Author

Listed:
  • Hesham M. Aboelsoud

    (Soil, Water and Environment Research Institute (SWERI), Agricultural Research Centre (ARC), Giza 12112, Egypt)

  • Mohamed A. E. AbdelRahman

    (Division of Environmental Studies and Land Use, National Authority for Remote Sensing and Space Sciences (NARSS), Cairo 11769, Egypt)

  • Ahmed M. S. Kheir

    (Soil, Water and Environment Research Institute (SWERI), Agricultural Research Centre (ARC), Giza 12112, Egypt
    International Center for Biosaline Agriculture, Dubai 14660, United Arab Emirates)

  • Mona S. M. Eid

    (Soil, Water and Environment Research Institute (SWERI), Agricultural Research Centre (ARC), Giza 12112, Egypt)

  • Khalil A. Ammar

    (International Center for Biosaline Agriculture, Dubai 14660, United Arab Emirates)

  • Tamer H. Khalifa

    (Soil, Water and Environment Research Institute (SWERI), Agricultural Research Centre (ARC), Giza 12112, Egypt)

  • Antonio Scopa

    (Scuola di Scienze Agrarie, Forestali, Alimentari ed Ambientali (SAFE), Università degli Studi della Basilicata, Viale dell’Ateneo Lucano 10, 85100 Potenza, Italy)

Abstract

Soil salinity and sodicity are significant issues worldwide. In particular, they represent the most dominant types of degraded lands, especially in arid and semi-arid regions with minimal rainfall. Furthermore, in these areas, human activities mainly contribute to increasing the degree of soil salinity, especially in dry areas. This study developed a model for mapping soil salinity and sodicity using remote sensing and geographic information systems (GIS). It also provided salinity management techniques (leaching and gypsum requirements) to ameliorate soil and improve crop productivity. The model results showed a high correlation between the soil electrical conductivity (ECe) and remote-sensing spectral indices SI A , SI3, VSSI, and SI9 (R 2 = 0.90, 0.89, 0.87, and 0.83), respectively. In contrast, it showed a low correlation between ECe and SI5 (R 2 = 0.21). The salt-affected soils in the study area cover about 56% of cultivated land, of which the spatial distribution of different soil salinity levels ranged from low soil salinity of 44% of the salinized cultivated land, moderate soil salinity of 27% of salinized cultivated land, high soil salinity of 29% of the salinized cultivated land, and extreme soil salinity of 1% of the salinized cultivated land. The leaching water requirement (LR) depths ranged from 0.1 to 0.30 m ha −1 , while the gypsum requirement (GR) ranged from 0.1 to 9 ton ha −1 .

Suggested Citation

  • Hesham M. Aboelsoud & Mohamed A. E. AbdelRahman & Ahmed M. S. Kheir & Mona S. M. Eid & Khalil A. Ammar & Tamer H. Khalifa & Antonio Scopa, 2022. "Quantitative Estimation of Saline-Soil Amelioration Using Remote-Sensing Indices in Arid Land for Better Management," Land, MDPI, vol. 11(7), pages 1-19, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:1041-:d:858902
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    References listed on IDEAS

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    1. Mohamed A. E. AbdelRahman & Mohamed M. Metwaly & Ahmed A. Afifi & Paola D’Antonio & Antonio Scopa, 2022. "Assessment of Soil Fertility Status under Soil Degradation Rate Using Geomatics in West Nile Delta," Land, MDPI, vol. 11(8), pages 1-23, August.
    2. Mohamed A. E. AbdelRahman & Mohamed R. Metwalli & Maofang Gao & Francesco Toscano & Costanza Fiorentino & Antonio Scopa & Paola D’Antonio, 2023. "Determining the Extent of Soil Degradation Processes Using Trend Analyses at a Regional Multispectral Scale," Land, MDPI, vol. 12(4), pages 1-19, April.
    3. Meng Luo & Shengwei Zhang & Lei Huang & Zhiqiang Liu & Lin Yang & Ruishen Li & Xi Lin, 2022. "Temporal and Spatial Changes of Ecological Environment Quality Based on RSEI: A Case Study in Ulan Mulun River Basin, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    4. Ahmed S. Abuzaid & Mostafa S. El-Komy & Mohamed S. Shokr & Ahmed A. El Baroudy & Elsayed Said Mohamed & Nazih Y. Rebouh & Mohamed S. Abdel-Hai, 2023. "Predicting Dynamics of Soil Salinity and Sodicity Using Remote Sensing Techniques: A Landscape-Scale Assessment in the Northeastern Egypt," Sustainability, MDPI, vol. 15(12), pages 1-17, June.

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