Comparison of statistical prediction methods for characterizing the spatial variability of apparent electrical conductivity in coastal salt-affected farmland-Reference-Cited by-同舟云学术

Comparison of statistical prediction methods for characterizing the spatial variability of apparent electrical conductivity in coastal salt-affected farmland

Published:2013-04-11 Issue:1 Volume:71 Page:233-243
ISSN:1866-6280
Container-title:Environmental Earth Sciences
language:en
Short-container-title:Environ Earth Sci

Author:

Yao R. J.,Yang J. S.,Gao P.,Shao H. B.,Liu G. M.,Yu S. P.

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Link

http://link.springer.com/content/pdf/10.1007/s12665-013-2427-7.pdf

Reference34 articles.

1. Aragüés R, Urdanoz V, Cetin M, Kirda C, Daghari H, Ltifi W, Lahlou M, Douaik A (2011) Soil salinity related to physical soil characteristics and irrigation management in four Mediterranean irrigation districts. Agric Water Manag 98:959–966

2. Castrignanò A, Buttafuoco G, Canu A, Zucca C, Madrau S (2008) Modelling spatial uncertainty of soil erodibility factor using joint stochastic simulation. Land Degrad Deviat 19:198–213

3. Cheng MS, Di HW (2004) Study on optimal wavelet decomposition level for multi-focus image fusion. Opto-Electron Eng 31:64–67

4. Cordeiro MRC, Ranjan RS, Cicek N (2011) Assessment of potential nutrient build-up around beef cattle production areas using electromagnetic induction. Environ Technol 32:1–9

5. Corwin DL, Lesch SM (2003) Application of soil electrical conductivity to precision agriculture: theory, principles, and guidelines. Agron J 95:455–471

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