Characterization of field‐scale dryland salinity with depth by quasi‐3d inversion of DUALEM‐1 data

To understand the limitations of saline soil and determine best management practices, simple methods need to be developed to determine the salinity distribution in a soil profile and map this variation across the landscape. Using a field study in southwestern Australia, we describe a method to map t...

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Veröffentlicht in:	Soil use and management Jg. 33; H. 2; S. 205 - 215
Hauptverfasser:	Huang, J., Kilminster, T., Barrett‐Lennard, E. G., Triantafilis, J., Goss, Michael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bedfordshire Wiley Subscription Services, Inc 01.06.2017
Schlagworte:	Accuracy Algorithms arid lands Arid zones Australia best management practices Bias Calibration Computer programs computer software Damping Data acquisition Depth Dimensions Distribution DUALEM‐1 Electrical conductivity Electrical resistivity Estimates landscapes Management methods Mathematical models Modelling normal and inverted salinity profiles Parameter identification prediction Predictions quasi‐3d inversion Regression analysis Saline soils Salinity Salinity effects Software Soil Soil conductivity Soil profiles Soil salinity Soils Three dimensional models Australia
ISSN:	0266-0032, 1475-2743
Online-Zugang:	Volltext
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