STUDING THE VEGETATION AND SOIL SALINITY BASED ON REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM (CASE STUDY: KARADJ ROUDKHANEH SHOUR)

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ALAVIPANAH S.K.; MASHHADI N.; POUYAFAR A.M.; KHALILPOUR S.A.

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Journal: Desert Year:2001 | Volume:6 | Issue:1 Page(s): 69-84

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Title

STUDING THE VEGETATION AND SOIL SALINITY BASED ON REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM (CASE STUDY: KARADJ ROUDKHANEH SHOUR)

Author(s)

ALAVIPANAH S.K. | MASHHADI N. | POUYAFAR A.M. | KHALILPOUR S.A. | Issue Writer Certificate

Keywords

VEGETATIONQ2

LAND COVERQ2

SOIL SALINITYQ2

SPECTRAL CLASSQ4

INFORMATIUN CLASSQ4

REMOTELY SENSED DATAQ3

GEOGRAPHIC INFORMATION SYSTEM (GIS)Q4

Abstract

Soil degradation including SOIL SALINITY, erosion and waterlogging are among main factors of desertification. In this research, attempts are made to evaluate the efficiency of Landsat TM data dated 28 June 1987 and geographic information system for studying SOIL SALINITY and salt affected VEGETATION. The study area is a part of Qazvin plain, located in the Roudkhaneh Shour catchement. The optimum band combination was selected for image classification using optimum index factor, two dimensional feature space analysis and principal component analysis. The training classes were selected based on the type, density of VEGETATION and SOIL SALINITY classes. Then 18 SPECTRAL CLASSes were classified by maximum likelihood method. These classes were regrouped into three information classes and salt affected VEGETATION map was obtained. In order to calculate the correlation coefficient between the maps, the spectral and field SOIL SALINITY maps were crossed. The SOIL SALINITY map of the study area was elaborated in 1984. In order to map SOIL SALINITY, the salinity level of the soil was first measured for each horizon. Then a salinity rating is given for the layers: 0 -50 cm, 50 - 100 cm, 100 - 150 cm, by averaging the ECe data of the horizons. The three SOIL SALINITY ratings of the horizons were then converted into one final rating for the profile. The results have shown that the accuracy of spectral map obtained from REMOTELY SENSED DATA is about 86.4%, but its correlation with field SOIL SALINITY map is about 60% that is relatively low. The reason may be attributed to different approaches of mapping SOIL SALINITY and effect of some other soil physico - chemical properties on the surface reflectance.

Cites

References

COMPARISON BETWEEN THE TWO METHODS OF SOIL SALINITY SURVEYING MAP (A CASE STUDY: ARDAKAN AREA)

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APA: Copy

ALAVIPANAH, S.K., MASHHADI, N., POUYAFAR, A.M., & KHALILPOUR, S.A.. (2001). STUDING THE VEGETATION AND SOIL SALINITY BASED ON REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM (CASE STUDY: KARADJ ROUDKHANEH SHOUR). DESERT (BIABAN), 6(1), 69-84. SID. https://sid.ir/paper/5381/en

Vancouver: Copy

ALAVIPANAH S.K., MASHHADI N., POUYAFAR A.M., KHALILPOUR S.A.. STUDING THE VEGETATION AND SOIL SALINITY BASED ON REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM (CASE STUDY: KARADJ ROUDKHANEH SHOUR). DESERT (BIABAN)[Internet]. 2001;6(1):69-84. Available from: https://sid.ir/paper/5381/en

IEEE: Copy

S.K. ALAVIPANAH, N. MASHHADI, A.M. POUYAFAR, and S.A. KHALILPOUR, “STUDING THE VEGETATION AND SOIL SALINITY BASED ON REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM (CASE STUDY: KARADJ ROUDKHANEH SHOUR),” DESERT (BIABAN), vol. 6, no. 1, pp. 69–84, 2001, [Online]. Available: https://sid.ir/paper/5381/en

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