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

Hesham M. Aboelsoud, Mohamed A. E. AbdelRahman, Ahmed M. S. Kheir, Mona S. M. Eid, Khalil A. Ammar, Tamer H. Khalifa and Antonio Scopa
Additional contact information
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
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

Land, 2022, vol. 11, issue 7, 1-19

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 .

Keywords: soil salinity; sodicity; GIS; RS; leaching and gypsum requirement (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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