Spatial prediction of soil particle size distribution in arid agricultural lands in central Iran-Reference-Cited by-同舟云学术

Spatial prediction of soil particle size distribution in arid agricultural lands in central Iran

Published:2022-09-29 Issue:19 Volume:15 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Zolfaghari Ali Asghar,Toularoud Ali Ashraf Soltani,Baghi Fatemeh,Mirzaee Salman

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-022-10847-3.pdf

Reference69 articles.

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3. Ahmed Z, Iqbal J (2014) Evaluation of Landsat TM5 multispectral data for automated mapping of surface soil texture and organic matter in GIS. Eur J Remote Sens 47:557–573. https://doi.org/10.5721/EuJRS20144731

4. Alavi Panah SK, Goossens R, Matinfar HR (2008) The efficiency of Landsat TM and ETM+ thermal data for extracting soil information in arid regions. J Agric Sci Technol 10(5):439–460

5. Amirian-Chakan A, Minasny B, Taghizadeh-Mehrjardi R (2019) Some practical aspects of predicting texture data in digital soil mapping. Soil Tillage Res 194:104289. https://doi.org/10.1016/j.still.2019.06.006

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