The spatial distribution of soil salinity: Detection and prediction
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Sprache:Englisch
Fr. 16.90
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Ja
Text-to-Speech
Nein
Erscheinungsdatum
01.12.2005
Verlag
Cuvillier Verlag eBooksSeitenzahl
137 (Printausgabe)
Dateigröße
1846 KB
Sprache
Englisch
EAN
9783736916548
Soils of irrigated lands in the Aral Sea Basin are often plagued by high salinity, hampering profitable agriculture on these soils. In this context, the present study has three specific objectives: to identify techniques that enable a rapid estimation of soil salinity, to characterize its spatial distribution and to estimate its spatial distribution based on readily obtainable environmental parameters using a Neural Network Model Approach. Topsoil salinity was highly variable at short distances and terrain attributes were the most influential factors. The use of relationships between environmental attributes and soil salinity for upscaling spatial distribution of soil salinity from farm to district level proved to be satisfactory. A possible application is the development of salinity prediction tools for farm-level decision making.
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