TY  - JOUR
T1  - Combination of remote sensing and kriging to improve soil salinity mapping in the Hmadna plain (Algeria)
TT  - Combination of remote sensing and kriging to improve soil salinity mapping in the Hmadna plain (Algeria)
AU  - Douaoui, Abdelkader
AU  - Yahiaoui, İbrahim
PY  - 2015
DA  - January
DO  - 10.21657/tsd.79217
JF  - Toprak Su Dergisi
JO  - SWJ
PB  - Toprak Gübre ve Su Kaynakları Merkez Araştırma Enstitüsü
WT  - DergiPark
SN  - 2146-7072
VL  - 0
IS  - 0
LA  - en
AB  - The plain of Hmadna is located in the western part of the plains of Cheliff (North-western of Algeria)with a surface of more than 10,000 ha. The salinity mapping at the scale of whole plain is difficult to beperformed because it would be necessary to collect and analyse a large number of samples in order toreach a good spatial estimate. The satellite's remote–sensing capability, with the quantity of informationwhich it offers and its broad field of view, seems to be the most suitable tool to chart salinity, when thespectral data are combined with a reduced number of soil samples., The necessary precondition for theoperational use of this technique is the existence of a good correlation between the data measureddirectly from soil samples with that resulting from the remote-sensing. The objective of this work is toshow the importance of using optical sensors with a very high spatial and spectral resolution in theimprovement of the mapping surface layer soil salinity. In the first part of this paper we develop arelationship between the remote-sensed data (very high resolution) and the measured salinity of groundsamples (as expressed by sample electrical conductivity (EC), through statistical analysis (Ordinary Kriging)to create a salinity index just in the sample area for this dataset. Then in the second part of the paper, weapply this developed relationship to the whole of the WorldView-2 image set, to extrapolate a soil salinitymap for the whole area.
N2  - The plain of Hmadna is located in the western part of the plains of Cheliff (North-western of Algeria)with a surface of more than 10,000 ha. The salinity mapping at the scale of whole plain is difficult to beperformed because it would be necessary to collect and analyse a large number of samples in order toreach a good spatial estimate. The satellite's remote–sensing capability, with the quantity of informationwhich it offers and its broad field of view, seems to be the most suitable tool to chart salinity, when thespectral data are combined with a reduced number of soil samples., The necessary precondition for theoperational use of this technique is the existence of a good correlation between the data measureddirectly from soil samples with that resulting from the remote-sensing. The objective of this work is toshow the importance of using optical sensors with a very high spatial and spectral resolution in theimprovement of the mapping surface layer soil salinity. In the first part of this paper we develop arelationship between the remote-sensed data (very high resolution) and the measured salinity of groundsamples (as expressed by sample electrical conductivity (EC), through statistical analysis (Ordinary Kriging)to create a salinity index just in the sample area for this dataset. Then in the second part of the paper, weapply this developed relationship to the whole of the WorldView-2 image set, to extrapolate a soil salinitymap for the whole area.
UR  - https://doi.org/10.21657/tsd.79217
L1  - https://dergipark.org.tr/tr/download/article-file/199941
ER  -