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Updated: May 7, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

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不同的像素大小的地形数据用于预测土壤盐度

Shima Esmailpour1, Ebrahim Mahmoudabadi2, Mohammad Ghasemzadeh Ganjehie3

  • 1Department of Soil Science, College of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.

PloS one
|December 31, 2024
PubMed
概括

这项研究表明,使用人工神经网络 (ANN) 预测土壤盐度的最佳细胞大小取决于地形. 较小的单元尺寸可以在的地区提高准确性,而较大的单元尺寸更适合平坦地区.

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Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil12:03

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