Mapping Soil Salinity Using Remote Sensing Technology (Case Study: South Lands of West Azarbaijan province)

Document Type : Research Paper

Authors

1 M.Sc. Graduate of Agroecology, Mahabad Branch, Islamic Azad University, Mahabad, Iran

2 Assist. Prof., Faculty of Agriculture and Natural Resources, Mahabad Branch, Islamic Azad University, Mahabad, Iran

3 Ph.D. Student of Plant Breeding, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

Soil salinity is one of the most important limiting factors in crop production and more than 50% of the world irrigated lands have different levels of salinity. Also, one of the most important agricultural problems in Iran is soil salinty where West Azerbaijan province is no exception from this problem. The aim of present study was investigating the possibility of surface soil salinity mapping in an area of 68000 ha in the south of West Azarbaijan province using remote sensing. A systematic random sampling method was used to prepare a ground truth map of surface soil salinity (including 147 soil samples from a depth of 0-15 cm). In this research, IRS-P6 satellite data (multispectral and panchromatic bands) were used. Geometric correction of images was done using digital elevation model and road and river maps. Various indices were generated, using ratioing and principal component analysis methods, and were used in the classifications. After selection of suitable training samples, classification was performed with different number of classes by a supervised method and different algorithms. The results of the accuracy assessment showed that the highest overall accuracy percentage and Kappa coefficient (87.96% and 0.77) were related to the classification of the two classes with 4-band combination and the maximum likelihood algorithm. Also, the results revealed high potential of remote sensing and IRS-P6 data for surface soil salinity mapping on a local scale.

Keywords

References

Abbas A, Khan S, Hussain N, Hanjra MA and Akbar S. 2013. Characterizing soil salinity in irrigated agriculture using a remote sensing approach. Physics and Chemistry of Earth 55: 43-52.
Abdalsamad A, David CW, Somsubhra C, Aakriti S and Bin L. 2015. Combination of proximal and remote sensing methods for rapid soil salinity quantification. Geoderma 239: 34-46.
Abdizadeh S, Toranjzar H and Ahmadi A. 2014. Evaluation of SI and BI index in soil salinity mapping in arid and semiarid areas using remote sensing data. Pp. 1-8. Proceedings of the National Conference on Sustainable Ecosystem and Development, Environment office of the Markazi Province. 8 May, Arak, Iran. (In Persian).
Afrasinei GM, Melis MT, Buttau C, Arras C and Ghiglieri G. 2017.  Assessment of remote sensing-based classification methods for change detection of salt-affected areas (Biskra, Algeria). Journal of Applied Remote Sensing 11: 16-25.
Akbari A, Ebrahimi M and Amirahmadi A. 2013. Land use mapping of Sabzevar city using Maximum Liklihood and artificial neural network of Multi-layer Perceptron methods. Environmental Based Terretorial Planning (Amayesh) 23(6): 127-148 (In Persian).
Akhzari D and Asadi Meyabadi A. 2016. Soil salinity map preparation using spectral analysis of OLI sensor and field data. RS & GIS for Natural Resources 7(2): 87-100 (In Persian).
Alavipanah SK, Matinfar H and Abdulazimi H. 2014. Remote Sensing of Soil Salinity (Effect on Land Management). 2nd Ed, Tehran University Press, Tehran, 568 p (In Persian).
Amal A, Lalit K and Priyakant S. 2014. Mapping and modelling spatial variation in soil salinity in the Al Hassa Oasis based on remote sensing indicators and regression techniques. Remote Sensing 6: 1137-1157.
Bouaziz M, Matschullat J and Gloaguen R. 2011. Improved remote sensing detection of soil salinity from a semi-arid climate in northeast Brazil. Comptes Rendus Geoscience 343: 795-803.
Caren CD, David JM and Volker CR. 2001. Phonological difference in Tasseled Cap indices improves deciduous forest classification. Remote Sensing Environment 80: 460-472.
Daempanah R, Haghnia G, Alizadeh A and Karimi-Karoyeh A. 2011. Mapping salinity and sodicity of surface soil by remote sensing and geostatistic methods in south side of Mahvalat County. Journal of Water and Soil 3(25): 498-508 (In Persian).
Daliakopoulos IN, Tsanis IK, Koutroulis A, Kourgialas NN, Varouchakis AE, Karatzas GP and Ritsema CJ. 2016. The threat of soil salinity: A European scale review. Science of the Total Environment 573: 727-739.
Domra Kana J, Djongyang N, Raïdandi D, Njandjock Nouck P and Dadje A. 2015. A review of geophysical methods for geothermal exploration. Renewable & Sustainable Energy Reviews 44: 87-95.
Elhag M and Bahrawi JA. 2017. Soil salinity mapping and hydrological drought indices assessment in arid environments based on remote sensing techniques. Geoscientific Instrumentation, Methods and Data Systems 6: 149-158.
Elia S, Todd HS and Dennis LC. 2014. Regional scale soil salinity evaluation using Landsat 7, western San Joaquin Valley, California. USA Geoderma Regional 2: 82-90.
Fan Y, Guangxin Z, Xiongrui Y and Zhijun L. 2011. Field-scale spatial variation of saline-sodic soil and its relation with environmental factors in western Songnen of China. International Journal Environmental Research and Public Health 8: 374-387.
Fan X, Pedroli B, Liu G, Liu Q, Liu H and Shu L. 2012. Soil salinity development in the Yellow River delta in relation to groundwater dynamics. Land Degradation & Development 23: 175-189.
Fourati HT, Bouaziz M, Benzina M and Bouaziz S. 2015. Modeling of soil salinity within a semi-arid region using spectral analysis. Arabian Journal of Geosciences 8: 11175-11182.
Hasanvandi N, Landi A, Mateinfer H and Taherzadeh M. 2014. Soil surface salinity mapping using ETM+ data in south of Ahvaz. Agricultural Engineering 1(37): 23-32 (In Persian).
Ghanbari E and Barghi H. 2008. Key challenges in sustainable agriculture development in Iran. Development strategy 16(1): 218-234 (In Persian).
Jamshidi M, Eftekhari K, Navidi N and Momeni A. 2015. Forty Years of Soil Studies in Soil and Water Research Institute. Agricultural Research Education and Extention Organization Press, Tehran, 62 p (In Persian).
Khanyaghama M, Ahmadi-Sani N and Jalilanejad N. 2015. Investigating potentiality of IRS-P6 images for soil salinity modeling. Water and Soil Science- University of Tabriz 26(2):177-187 (In Persian).
Kiani V, Alizadeh-Shabani A and Nazari-Samani A. 2014. Accuracy assessment of IRS-p6 data using Google Earth database for land use mapping. Geographical Data 90(23): 50-60 (In Persian).
Li J, Pu L, Zhu M, Dai X, Xu Y, Chen X, Zhang L and Zhang R. 2014. Monitoring soil salt content using HJ-1A hyperspectral data: a case study of coastal areas in Rudong County, Eastern China. Chinese Geographical Science 25: 1-11.

Lillesand T, Kiefer RW and Chipman J. 2014. Remote Sensing and Image Interpretation. John Wiley & Sons, New Jersey.

Mahmoudi F, Jafari R, Karimzadeh H and Ramezani N. 2015. Salinity zonation of soils in the southeastern region of Isfahan province using terrestrial and TM data. Journal of Water and Soil Science 71(19): 31-44 (In Persian).
Makhdoum M, Darvishsefat AA, Jafarzadeh H and Makhdoum A. 2013. Environmental Evaluation and Planning by Geographic Information System. Tehran University Press, Tehran (In Persian).
Maximo FA, Dennis LC, James DO, John M and Stephen RK. 2013. Modeling a sustainable salt tolerant grass-livestock production system under saline conditions in the western San Joaquin Valley of California. Sustainability 5: 3839-3857.
Medjani F,  Aissani B,  Labar S, Djidel M, Ducrot D, Masse A and Hamilton CML. 2017. Identifying saline wetlands in an arid desert climate using Landsat remote sensing imagery. Application on Ouargla Basin, southeastern Algeria. Arabian Journal of Geosciences 10: 176.
Meng L, Zhou S, Zhang H and Bi X. 2016. Estimating soil salinity in different landscapes of the Yellow River Delta through Landsat OLI/TIRS and ETM+ Data. Journal of Coastal Conservation 20: 271-279.
Morshed M, Islam T and Jamil R. 2016. Soil salinity detection from satellite image analysis: an integrated approach of salinity indices and field data. Environmental Monitoring and Assessment 188: 119.
Nawar S, Buddenbaum H and Hill J. 2015. Digital mapping of soil properties using multivariate statistical analysis and ASTER data in an arid region. Remote Sensing 2: 1181-1205.
Norouzi A, Homaie M and Farshad A. 2013. Estimation of surface soil salinity using Landsat satellite images: Comparison of classical statistic with spatial statistic models. Journal of Range and Watershed Management 4(66): 609-620 (In Persian).
Pattanaaik, SK, Singh OP, Sahoo RN and Singh DK. 2008. Irrigation induced soil salinity mapping through principal component analysis of remote sensing data. Journal of Agricultural Physics 8: 29-36.
Pishnamaz M, Rezaei Moghadam MH and Feizizadeh B. 2017. Study indexes and mapping of soil salinity using remote sensing data. RS & GIS for Natural Resources 8(6): 85-96.
Trnka M, Kersebaum KC, Eitzinger J, Hayes M, Hlavinka P, Svoboda M, Dubrovsky M, Semeradova D, Wardlow B, Pokorny E, Mozny M, Wilhite D and Zalud Z. 2013. Consequences of climate change for the soil climate in central Europe and the central plains of the United States. Climate Change 120: 405-418.
Wang F, Chen X, Luo G, Ding J and Chen X. 2013. Detecting soil salinity with arid fraction integrated index and salinity index in feature space using Landsat TM imagery. Journal of Arid Land 5: 340-353.
Yang C, Everitt JH, Fletcher RS, Jensen RR and Mausel PW. 2009. Evaluating AISA hyperspectral imagery for mapping black mangrove along the South Texas Gulf Coast. Photogrammetric Engineering & Remote Sensing 75: 425-435.
Zaker M, Emami H, Astaraei A and Fotovat A. 2018. Soil physical properties as affected by potassium and salinity of irrigation water. Applied Soil Research, 6(1): 51-61 (In Persian).
Water and Soil Science
Volume 29, Issue 2
September 2019
Pages 115-128

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