Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models

Author:

Taghizadeh-Mehrjardi Ruhollah,Schmidt Karsten,Toomanian Norair,Heung Brandon,Behrens Thorsten,Mosavi Amirhosein,S. Band Shahab,Amirian-Chakan Alireza,Fathabadi Aboalhasan,Scholten ThomasORCID

Funder

Deutsche Forschungsgemeinschaft

Alexander von Humboldt-Stiftung

Publisher

Elsevier BV

Subject

Soil Science

Reference144 articles.

1. Abbas, A., Khan, S., 2007. Using remote sensing techniques for appraisal of irrigated soil salinity, in: Oxley, L., Kulasiri, D., (Eds.), MODSIM 2007 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007, pp. 2632-2638.

2. Modeling soil salinity using direct and indirect measurement techniques: a comparative analysis;Abdullah;Environ. Dev.,2019

3. Combination of proximal and remote sensing methods for rapid soil salinity quantification;Aldabaa;Geoderma,2015

4. Aldrich, E., 2020. Package ‘wavelets’. Functions for Computing Wavelet Filters, Wavelet Transforms and Multiresolution Analyses, Version 0.3-0.2. https://cran.r-project.org/web/packages/wavelets/wavelets.pdf (accessed 15 March 2020).

5. Soil salinity mapping and monitoring in arid and semi-arid regions using remote sensing technology: a review;Allbed;ARS,2013

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