A neural network model for estimating soil phosphorus using terrain analysis

A neural network model for estimating soil phosphorus using terrain analysis

Artificial neural network (ANN) model was developed and tested for estimating soil phosphorus (P) in Kouhin watershed area (1000 ha), Qazvin province, Iran using terrain analysis. Based on the soil distribution correlation, vegetation growth pattern across the topographically heterogeneous landscape...

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Bibliographic Details
Main Authors: Ali Keshavarzi, Fereydoon Sarmadian, El-Sayed Ewis Omran, Munawar Iqbal
Format: Article
Language:English
Published: Elsevier 2015-12-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Soil phosphorus
Topography
Artificial neural network
Digital elevation model
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982315000277

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http://www.sciencedirect.com/science/article/pii/S1110982315000277

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