Showing 1 - 6 results of 6 for search 'Fereydoon SARMADIAN', query time: 0.03s Refine Results
  1. 1
    Estimation of infiltration rate and deep percolation water using feed-forward neural networks in Gorgan Province

    Estimation of infiltration rate and deep percolation water using feed-forward neural networks in Gorgan Province by Fereydoon Sarmadian, Ruhollah Taghizadeh-Mehrjardi

    Published 2014-01-01
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  2. 2
    Soil suitability evaluation for crop selection using fuzzy sets methodology

    Soil suitability evaluation for crop selection using fuzzy sets methodology by Amin SHARIFIFAR, Hadi GHORBANI, Fereydoon SARMADIAN

    Published 2016-04-01
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  3. 3
    Validation of satellite-based soil moisture retrievals from SMAP with in situ observation in the Simineh-Zarrineh (Bokan) Catchment, NW of Iran

    Validation of satellite-based soil moisture retrievals from SMAP with in situ observation in the Simineh-Zarrineh (Bokan) Catchment, NW of Iran by Khaled Haji Maleki, Ali Reza Vaezi, Fereydoon Sarmadian, Wade T. Crow

    Published 2019-10-01
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  4. 4
    Land Use Classification using Support Vector Machine and Maximum Likelihood Algorithms by Landsat 5 TM Images

    Land Use Classification using Support Vector Machine and Maximum Likelihood Algorithms by Landsat 5 TM Images by Abbas TAATI, Fereydoon SARMADIAN, Amin MOUSAVI, Chamran Taghati Hossien POUR, Amir Hossein Esmaile SHAHIR

    Published 2014-12-01
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  5. 5
    Land Use Classification using Support Vector Machine and Maximum Likelihood Algorithms by Landsat 5 TM Images

    Land Use Classification using Support Vector Machine and Maximum Likelihood Algorithms by Landsat 5 TM Images by Abbas TAATI, Fereydoon SARMADIAN, Amin MOUSAVI, Chamran Taghati Hossien POUR, Amir Hossein Esmaile SHAHIR

    Published 2015-08-01
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  6. 6
    Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

    Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space by Ruhollah Taghizadeh-Mehrjardi, Karsten Schmidt, Alireza Amirian-Chakan, Tobias Rentschler, Mojtaba Zeraatpisheh, Fereydoon Sarmadian, Roozbeh Valavi, Naser Davatgar, Thorsten Behrens, Thomas Scholten

    Published 2020-03-01
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