MONITORING SOIL SALINITY AROUND BAKHTEGAN LAKE, FARS PROVINCE, IRAN, USING LANDSAT DATA

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SALMANPOUR A.; SALEHI M.H.; MOHAMMADI J.; NADERI M.

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Journal: Journal of Soil Management and Sustainable Production Year:2016 | Volume:6 | Issue:1 Page(s): 177-190

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Title

MONITORING SOIL SALINITY AROUND BAKHTEGAN LAKE, FARS PROVINCE, IRAN, USING LANDSAT DATA

Author(s)

SALMANPOUR A. | SALEHI M.H. | MOHAMMADI J. | NADERI M. | Issue Writer Certificate

Keywords

SALINITY DISTRIBUTIONQ1

LANDSAT IMAGEQ1

BAKHTEGAN LAKEQ1

Abstract

Background and Objectives: Primary and secondary soil salinization is one of the main reasons of land degradation and desertification in arid and semi-arid regions. Change detection of salt-affected soils, helps find salt distribution and salinization trends. Present study was arranged for monitoring soil salinity status of agricultural lands located on southeastern part of BAKHTEGAN LAKE in Fars province, Iran using remote sensing techniques in last two decades.Materials and Methods: To fulfill the goal, electrical conductivity data from technical reports in years 1995 and 2007 was obtained and soil sampling was done on 2014. Composite and randomly 0-30 cm soil samples were collected. Electrical conductivity of 1: 2.5 soil: water extracts were measured. Landsat 5 data scanned in 1995 and 2007 and Landsat 8 data scanned in 2014 were used. Different indices and false color composite images were calculated with ILWIS 3.3 software. For year 2014, principal component analysis was done, too. Before correlation and regression analysis, digital number of satellite bands transformed to atmospheric reflectance.80 percent of data was used for classification of imagery data and 20 percent was used for validation the images for all procedures. Salinity maps was obtained, compared and the best model was chosen.Results: Results showed that the minimum Mahalanobis distance method (with overall accuracy of 62.5%) and maximum likelihood method (with overall accuracy of 44.8%) were the best approaches for mapping soil salinity for years 1995 and 2014, respectively, while for the year 2007, the linear regression model (with overall accuracy of 62.5%) increased the accuracy of image classification compared to other methods. Statistical description of soil EC showed that in 1995 more than 50 percent of studied area has Electrical Conductivity less than 2 dSm-1, while in 2014 more than 50 percent of the soils have EC more than 4 dSm-1. Results also showed that during 20 years, saline soils extended from soils around lake and center part of studied region to the Neyriz city.Conclusion: The present study showed that, during 20 years, the area of soils with salinity less than 4 dsm-1 reduced and the area of saline soils increased and salinity expansion was from Bakhtaran lake toward Neyriz city. According to soil salinization trend in studied site, it seems, on the case of continuation of the present land management in studied area, in a short time, the existing orchards would be out of economic cycle. Therefore, to prevent the soil salinization and the loss of farm and orchards in the region, serious efforts of authorities are required

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APA: Copy

SALMANPOUR, A., SALEHI, M.H., MOHAMMADI, J., & NADERI, M.. (2016). MONITORING SOIL SALINITY AROUND BAKHTEGAN LAKE, FARS PROVINCE, IRAN, USING LANDSAT DATA. ELECTRONIC JOURNAL OF SOIL MANAGEMENT AND SUSTAINABLE PRODUCTION, 6(1), 177-190. SID. https://sid.ir/paper/209861/en

Vancouver: Copy

SALMANPOUR A., SALEHI M.H., MOHAMMADI J., NADERI M.. MONITORING SOIL SALINITY AROUND BAKHTEGAN LAKE, FARS PROVINCE, IRAN, USING LANDSAT DATA. ELECTRONIC JOURNAL OF SOIL MANAGEMENT AND SUSTAINABLE PRODUCTION[Internet]. 2016;6(1):177-190. Available from: https://sid.ir/paper/209861/en

IEEE: Copy

A. SALMANPOUR, M.H. SALEHI, J. MOHAMMADI, and M. NADERI, “MONITORING SOIL SALINITY AROUND BAKHTEGAN LAKE, FARS PROVINCE, IRAN, USING LANDSAT DATA,” ELECTRONIC JOURNAL OF SOIL MANAGEMENT AND SUSTAINABLE PRODUCTION, vol. 6, no. 1, pp. 177–190, 2016, [Online]. Available: https://sid.ir/paper/209861/en

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