Improving the Prediction Accuracy of Soil Mapping through Geostatistics

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ISSN Print: 2156-8359
ISSN Online: 2156-8367

Website: https://www.scirp.org/journal/ijg
E-mail: ijg@scirp.org

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Submission

"Improving the Prediction Accuracy of Soil Mapping through Geostatistics"
written by El-Sayed Ewis Omran,
published by International Journal of Geosciences, Vol.3 No.3, 2012

has been cited by the following article(s):

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[31]	Estudio de la distribución espacial y cartografía digital de algunas propiedades físicas, químicas e hidrodinámicas de suelos de la cuenca del Segura
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[36]	A precision nutrient variability study of an experimental plot in Mukono Agricultural Research and Development Institute, Mukono, Uganda
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[37]	Taylor diagram application for the evaluation of spatial interpolators in attributes of soil under cultivation with eucalyptus
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[38]	Particle Size Analysis of Soils and Its Interpolation using GIS Technique from Sangamner Area, Maharashtra, India
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[1]	Geostatistical Analysis on Spatial Variability of Soil Nutrients in Vertisols of Deccan Plateau Region of North Karnataka, India International Journal of Mathematical, Engineering and Management Sciences, 2020 DOI:10.33889/IJMEMS.2020.5.2.023

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[3]	Estimating topsoil texture fractions by digital soil mapping - a response to the long outdated soil map in the Philippines Sustainable Environment Research, 2019 DOI:10.1186/s42834-019-0032-5

[4]	Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS PLOS ONE, 2018 DOI:10.1371/journal.pone.0206350

[5]	New method to estimate total elements of chromium (VI), nickel and iron to analyze their mobility and spatial distribution from an open dump IOP Conference Series: Earth and Environmental Science, 2018 DOI:10.1088/1755-1315/191/1/012090

[6]	Accounting Spatial Variability of Soil Properties and Mapping Fertilizer Types Using Geostatistics in Southern Ethiopia Communications in Soil Science and Plant Analysis, 2018 DOI:10.1080/00103624.2017.1421656

[7]	Mapping shallow nearshore benthic features in a Caribbean marine-protected area: assessing the efficacy of using different data types (hydroacoustic versus satellite images) and classification techniques International Journal of Remote Sensing, 2018 DOI:10.1080/01431161.2017.1395924

[8]	Potassium (K)-to-magnesium (Mg) ratio, its spatial variability and implications to potential Mg-induced K deficiency in Nitisols of Southern Ethiopia Agriculture & Food Security, 2018 DOI:10.1186/s40066-018-0165-5

[9]	Modeling Variability of Alfisols Fertility Parameters in Micro-Watersheds of Harve, Chamarajanagara District in Semi-Arid, India Communications in Soil Science and Plant Analysis, 2018 DOI:10.1080/00103624.2018.1448414

[10]	The Handbook of Environmental Chemistry, 2017 DOI:10.1007/698_2017_43

[11]	Identifying Corrosion Zones in Coastal Regions for Metal Pipes—A GIS Approach Pipelines 2017, 2017 DOI:10.1061/9780784480885.057

[12]	A stochastic simulation model to early predict susceptible areas to water table level fluctuations in North Sinai, Egypt The Egyptian Journal of Remote Sensing and Space Science, 2016 DOI:10.1016/j.ejrs.2016.03.001

[13]	Spatial distribution of Pb in urban soil from Port Pirie, South Australia Environmental Technology & Innovation, 2015 DOI:10.1016/j.eti.2015.05.002

[14]	Comparing prediction accuracy of OK and RK for the soils of Surat talukas 2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR), 2015 DOI:10.1109/TIAR.2015.7358558

[15]	Aplicação do diagrama de Taylor para avaliação de interpoladores espaciais em atributos de solo em cultivo com eucalipto Revista Árvore, 2014 DOI:10.1590/S0100-67622014000500014

[16]	Integration of geoinformatics and wireless sensors for smart agriculture in tea Second International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2014), 2014 DOI:10.1117/12.2066366

[17]	A Proposed Model to Assess and Map Irrigation Water Well Suitability Using Geospatial Analysis Water, 2012 DOI:10.3390/w4030545