Continuous field soil moisture content mapping by means of apparent electrical conductivity (ECa) measurement

Title:

Continuous field soil moisture content mapping by means of apparent electrical conductivity (ECa) measurement

Creator:

Nagy, Viliam, Milics, Gábor, Smuk, Norbert, Kovács, Attila József, Balla, István, Jolánkai, Márton, Deákvári, József, Szalay, Kornél D., Fenyvesi , László, Štekauerová, Vlasta, Wilhelm, Zoltán, Rajkai, Kálmán, Németh, Tamás, and Neményi, Miklós

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:443cc9c1-536d-4fc0-a26b-b72175ba422b
uuid:443cc9c1-536d-4fc0-a26b-b72175ba422b
doi:10.2478/johh-2013-0039

Subject:

moisture content mapping, apparent electrical conductivity, data preparation and interpolation, and precision agriculture

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

A soil moisture content map is important for providing information about the distribution of moisture in a given area. Moisture content directly influences agricultural yield thus it is crucial to have accurate and reliable information about moisture distribution and content in the field. Since soil is a porous medium modified generalized Archie’s equation provides the basic formula to calculate moisture content data based on measured ECa. In this study we aimed to find a more accurate and cost effective method for measuring moisture content than manual field sampling. Locations of 25 sampling points were chosen from our research field as a reference. We assumed that soil moisture content could be calculated by measuring apparent electrical conductivity (ECa) using the Veris-3100 on-the-go soil mapping tool. Statistical analysis was carried out on the 10.791 ECa raw data in order to filter the outliers. The applied statistical method was ±1.5 interquartile (IRQ) distance approach. The visualization of soil moisture distribution within the experimental field was carried out by means of ArcGIS/ArcMAP using the inverse distance weighting interpolation method. In the investigated 25 sampling points, coefficient of determination between calculated volumetric moisture content data and measured ECa was R2 = 0.87. According to our results, volumetric moisture content can be mapped by applying ECa measurements in these particular soil types.

Language:

Slovak

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

305-312

Source:

Journal of hydrology and hydromechanics | 2013 Volume:61 | Number:4

Harvested from:

CDK

Metadata only:

false