A neural network model for estimating soil phosphorus using terrain analysis

Egyptian Journal of Remote Sensing and Space Science

Volumn 18, Issue 2, 2015, Pages 127-135

  Keshavarzi, Ali ^a   Sarmadian, Fereydoon ^a   Omran, El Sayed Ewis ^b   Iqbal, Munawar ^c,d  

^a UNIVERSITY OF TEHRAN   (Iran)

^b University of Suez Canal   (Egypt)

^c UNIVERSITY OF PESHAWAR   (Pakistan)

^d Tobe Camp University Road Abbottabad   (Pakistan)

Author keywords

Artificial neural network; Digital elevation model; Soil phosphorus; Topography

Indexed keywords

DIGITAL INSTRUMENTS; FORESTRY; GEOMORPHOLOGY; LANDFORMS; NEURAL NETWORKS; PHOSPHORUS; SOILS; SURVEYING; TOPOGRAPHY; VEGETATION;

ARTIFICIAL NEURAL NETWORK MODELS; DIGITAL ELEVATION MODEL; HETEROGENEOUS LANDSCAPES; NEURAL NETWORK MODEL; NUTRIENT DEFICIENCY; PEDO-TRANSFER FUNCTIONS; PHOSPHORUS CONTENTS; SOIL PHOSPHORUS;

TRANSFER FUNCTIONS;

ARTIFICIAL NEURAL NETWORK; DIGITAL ELEVATION MODEL; ESTIMATION METHOD; PHOSPHORUS; SOIL CHEMISTRY; TERRAIN; TOPOGRAPHY;

IRAN; QAZVIN [IRAN];

EID: 84947867590     PISSN: 11109823     EISSN: 20902476     Source Type: Journal    
DOI: 10.1016/j.ejrs.2015.06.004     Document Type: Article

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