Comparison of Geostatistical and Random Forest Methods in Mapping Soil Salinity in the Lands of Zahak County of Sistan Plain

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

PAHLAVAN RAD M.R.; AKBARI MOGHADDAM A.R.; DAHMARDEH KH.; KEYKHA G.A.; DAVATGAR N.; TEHRANI M.M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Soil Research Year:2017 | Volume:31 | Issue:3 Page(s): 363-373

Download Full-Text

Persian Verion

View:

689

Download:

Cites:

Information Journal Paper

Title

Comparison of Geostatistical and Random Forest Methods in Mapping Soil Salinity in the Lands of Zahak County of Sistan Plain

Author(s)

Keywords

Flat landQ1

Digital soil mappingQ1

GeostatisticsQ2

Abstract

Soil maps are the major source of information for land management, natural resources, and environment. Soil salinity is one of the most important factors limiting crop production in Sistan plain. In this research, geostatistical and random forest methods were compared to produce soil salinity maps. Preparation of accurate maps for soil salinity conditions is of great help in proper management of lands in this area. For this purpose, 460 composite soil samples were collected from 0-30 cm depth in 41000 ha of Zahak region of Sistan plain, using 750 m grid network. Then, the electrical conductivity of saturation paste was measured. Afterwards, 361 samples were used for training and 99 for testing. In the geostatistical model, different semi-variogram including circular, spherical, exponential, and Gaussian and different interpolation methods including inverse distance weighting, ordinary kriging, simple kriging, universal kriging and co-kriging were fitted and the best models were selected. In random forest model, Digital soil mapping technique was used and environmental covariates were derived from digital elevation model (DEM) map and A Landsat 8 ETM+ image. The results of geostatistical method showed that soil salinity had a medium spatial correlation in the study area and the best semi-variogram and interpolation model were spherical and ordinary kriging, respectively. In random forest model, aspect, NDVI, and NDSI were the most important covariate in predicting soil salinity. The results Root Mean Square Error and Mean Error for the training and testing data showed that random forest method was slightly better than Geostatistics. The use of other covariates such as land use and soil series maps can increase accuracy of the maps based on random forest methods, thereby improving decision-making. Using other environmental covariates that were not used in this study such as land unit and soil series map can also improve the accuracy of the map.

Cites

No record.

References

No record.

Cite

APA: Copy

PAHLAVAN RAD, M.R., AKBARI MOGHADDAM, A.R., DAHMARDEH, KH., KEYKHA, G.A., DAVATGAR, N., & TEHRANI, M.M.. (2017). Comparison of Geostatistical and Random Forest Methods in Mapping Soil Salinity in the Lands of Zahak County of Sistan Plain. IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES), 31(3 ), 363-373. SID. https://sid.ir/paper/159097/en

Vancouver: Copy

PAHLAVAN RAD M.R., AKBARI MOGHADDAM A.R., DAHMARDEH KH., KEYKHA G.A., DAVATGAR N., TEHRANI M.M.. Comparison of Geostatistical and Random Forest Methods in Mapping Soil Salinity in the Lands of Zahak County of Sistan Plain. IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES)[Internet]. 2017;31(3 ):363-373. Available from: https://sid.ir/paper/159097/en

IEEE: Copy

M.R. PAHLAVAN RAD, A.R. AKBARI MOGHADDAM, KH. DAHMARDEH, G.A. KEYKHA, N. DAVATGAR, and M.M. TEHRANI, “Comparison of Geostatistical and Random Forest Methods in Mapping Soil Salinity in the Lands of Zahak County of Sistan Plain,” IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES), vol. 31, no. 3 , pp. 363–373, 2017, [Online]. Available: https://sid.ir/paper/159097/en

Related Journal Papers