Modeling and Mapping of Soil Salinity and Alkalinity Using Remote Sensing Data and Topographic Factors: a Case Study in Iran
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s10666-022-09823-8.pdf
Reference73 articles.
1. Li, H. Y., Webster, R., & Shi, Z. (2015). Mapping soil salinity in the Yangtze delta: REML and universal kriging (E-BLUP) revisited. Geoderma, 237, 71–77. https://doi.org/10.1016/j.geoderma.2014.08.008
2. Gorji, T., Sertel, E., & Tanik, A. (2017). Monitoring soil salinity via remote sensing technology under data scarce conditions: A case study from Turkey. Ecological Indicators, 74, 384–391. https://doi.org/10.1016/j.ecolind.2016.11.043
3. Shahrayini, E., Fallah, M., Shabanpour, M., Ebrahimi, E., & Saadat, S. (2018). Investigation of soil compaction on yield and agronomic traits of wheat under saline and non-saline soils. Archives of Agronomy and Soil Science, 64, 1329–1340. https://doi.org/10.1080/03650340.2018.1431832
4. FAO. (2008). The State of Food Insecurity in the World. Food and Agriculture Organization of the United Nations ISBN 978-92-5-106049-0.
5. Gorji, T., Alganci, U., Sertel, E., & Tanik, A. (2018). Comparing two different spatial interpolation approaches to characterize spatial variability of soil properties in Tuz Lake Basin – Turkey. In Environmental and health inequities-socio-economic determinants of exposure. https://www.researchgate.net/publication/320755488
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