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Mapping of soils and land-related environmental attributes in modern agriculture systems using geomatics

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Abstract

The need for reliable information about soil water has become increasingly necessary in recent times. Which represent an important input data into ecological, hydrological, or land surface models. A total number of 460 soil samples were collected to perform inverse distance weighting (IDW) estimates to map some soil quality properties. Moreover, soil profiles were used to apply geo-statistical analysis. Maps were produced with available soil information on soil texture and organic matter. Their unknown reliability hampers the estimation of the accuracy of models that rely on soil information. The hydraulic properties of field soils can improve predictions for such models using remote sensing data (RS). Scientific study and models application at various geographic scales can both benefit from a reliable soil water map. It is also essential for the development and spatial implementation of the comprehensive soil quality index (SQ) planned in the examined study. The assessment of soil suitability for agricultural purposes was based on important physical, chemical and environmental parameters. It is indicated that 81% of the samples fall within the moderately appropriate category S2. These samples are found in the upper and middle parts of the investigated area. The remaining percentage (19%), located in the south of the region, was marginally suitable for class S3. The calculated coefficients were also used in addition to estimating the suitability of irrigation. Accordingly, most areas are unsuitable for (surface) irrigation under natural conditions and require a special type of irrigation method. Improving irrigation management techniques and using appropriate plants is the basis of irrigation water management according to soil characteristics.

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Acknowledgements

This paper is based upon work supported by Science, Technology & Innovation Funding Authority (STDF) under grant (ESIP 2019) project ID (33547).

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Authors and Affiliations

  1. National Authority for Remote Sensing and Space Sciences, Cairo, Egypt

    Mohamed A. E. AbdelRahman, Eslam Farg, Ahmed M. Saleh, Marwa Sayed, Khaled Abutaleb & Sayed M. Arafat

  2. Agricultural Research Council-Natural Resources and Engineering, Arcadia, Private Bag X79, Pretoria, 0001, South Africa

    Khaled Abutaleb

  3. Faculty of Agriculture, Beni-Suef University, Beni Suef, Egypt

    Mohamed M. Elsharkawy

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  1. Mohamed A. E. AbdelRahman
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AbdelRahman, M.A.E., Farg, E., Saleh, A.M. et al. Mapping of soils and land-related environmental attributes in modern agriculture systems using geomatics. Sustain. Water Resour. Manag. 8, 116 (2022). https://doi.org/10.1007/s40899-022-00704-2

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  • DOI: https://doi.org/10.1007/s40899-022-00704-2

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