Estimation of Soil Texture and Amount of Free Iron Oxides Using Landsat 8 Satellite Bands and Regression Analysis

Moradi, Rozhin; Souri, Bubak; Reisi, Marzieh

doi:10.52547/gisj.14.1.73

Document Type : Original Article

Authors

¹ M.Sc. Student, Dep. of Environmental Sciences, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran

² Associate Prof., Dep. of Environmental Sciences, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran

³ Assistant Prof., Dep. of Environmental Sciences, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran

https://doi.org/10.52547/gisj.14.1.73

Abstract

The aim of this study was to estimate soil properties using Landsat 8 satellite bands in part of farmlands of Qorveh-Dehgolan plain in western Iran. Soil sampling was conducted at a total number of 107 points from 0-15cm depth throughout the study area and their physicochemical properties were measured in the laboratory. In order to extract information from the Landsat 8 satellite image following application of the vegetation mask; DOS values for bands 1-7 were extracted for the sampling points. Correlation Analysis, Stepwise Linear Regression and Principal Component Regression were used to determine the relationship between soil properties and digital value of Landsat 8 bands. Validation of Regression Analysis was evaluated using two parameters of Coefficient of Determination and Root Mean Square Error. The results showed that there was a positive and significant correlation between the digital value of most Landsat8 bands to the amounts of sand and free iron oxides in the soil but a negative and significant of it to amounts of clay and silt in the soil. There was no significant correlation between heavy metals concentration and digital value in visible and near infrared bands while Regression Analysis did not provide acceptable performance in estimating soil properties of the study area. According to the obtained results, it seems that Landsat 8 satellite images can be used to estimate the soil texture and the amount of free iron oxides across the study area.

Keywords

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Iranian Journal of Remote Sensing & GIS

Estimation of Soil Texture and Amount of Free Iron Oxides Using Landsat 8 Satellite Bands and Regression Analysis

References

References

Asadzadeh, F., Khosraviaqdam, K., Yaghmaeian Mahabadi, N., & Ramezanpour, H., 2019, Sapatial Variation of Mineral Particles of the Soil using Remote Sensing Data and Geostatistics to the Soil Texture Inter-polation, Water and Soil, 32(6), 1207-1222.

Leghaei, H., Pahmanpour, H., 2013, Urban Ecology, University of Tehran, Tehran, Iran.

Noorian, M., Delawar, M.A., 2012, Geo-Statistical Evaluation of Total Cadmium Concentration in Dizajabad Region, Zanjan Province, Sixth National Conference of Environmental Engineering.

Pourkhiz, I., 2011, Application of Geographical Information System (GIS) for more Precise Management on Farms and Crops, National Conference of New Achievements on Cultivation, pp: 1-7.

Touzandejani, M., Soffianian, A., Mirghafari, N., 2018, Arsenic Contamination Risk Assessment in Hamedan Plain-spring Using the Fuzzy Method,Journal of Water and Soil Science, 22(2), 53-66.

Yari, Y., Momtaz, H., Taheri, M., 2016, Spatial Distribution of Some Heavy Metals in Soils of Zanjan Industrial Zone, Water and Soil Science, 26(1), 223-236.

Volume 14, Issue 1 - Serial Number 53
June 2022
Pages 73-88

Estimation of Soil Texture and Amount of Free Iron Oxides Using Landsat 8 Satellite Bands and Regression Analysis

References

References

Asadzadeh, F., Khosraviaqdam, K., Yaghmaeian Mahabadi, N., & Ramezanpour, H., 2019, Sapatial Variation of Mineral Particles of the Soil using Remote Sensing Data and Geostatistics to the Soil Texture Inter-polation, Water and Soil, 32(6), 1207-1222.

Leghaei, H., Pahmanpour, H., 2013, Urban Ecology, University of Tehran, Tehran, Iran.

Noorian, M., Delawar, M.A., 2012, Geo-Statistical Evaluation of Total Cadmium Concentration in Dizajabad Region, Zanjan Province, Sixth National Conference of Environmental Engineering.

Pourkhiz, I., 2011, Application of Geographical Information System (GIS) for more Precise Management on Farms and Crops, National Conference of New Achievements on Cultivation, pp: 1-7.

Touzandejani, M., Soffianian, A., Mirghafari, N., 2018, Arsenic Contamination Risk Assessment in Hamedan Plain-spring Using the Fuzzy Method,Journal of Water and Soil Science, 22(2), 53-66.

Yari, Y., Momtaz, H., Taheri, M., 2016, Spatial Distribution of Some Heavy Metals in Soils of Zanjan Industrial Zone, Water and Soil Science, 26(1), 223-236.

Volume 14, Issue 1 - Serial Number 53June 2022Pages 73-88

Volume 14, Issue 1 - Serial Number 53
June 2022
Pages 73-88