Efficiency of Spectral Indices Derived from Landsat-8 Images of Maharloo Lake and Its Surrounding Rangelands

Document Type : Research and Full Length Article


1 دانشگاه لرستان

2 Graguated of soil sci. of lorestan university


Maharloo Lake is one of the salty lakes located in the southeast of Fars province, Iran. Presence of salt domes has a significant role in its salinity. Magnesium-sodium chloride and sodium sulfate are dominant salts of the lake. Due to the drying up of lake, widespread lands surrounding the area are exposed to secondary salinity. It seems necessary to investigate the changes to find salinity level in order to predict the changes of vegetation and its margin uses. The purpose of the study was to evaluate the spectral indices derived from the images of Landsat8 sensors in detection of salty levels of the Maharloo Lake. In this study, Landsat8 imagery was used to obtain salinity indicators in the salt lake. Fourteen salinity indices have been calculated using the ENVI. The results showed that the indices of BI, SI, SI1, SI2, SI3, VSSI, YSI and SR could detect the area covered by salt crust on the lake and then, isolate and separate it from the rest of reflection spectrum. However, MSI and NDBI indicators were unsuccessful in detection of salt crust. NDVI and COSRI indicators used in plant detection could not detect the salt crust and just identified the typical vegetation. Finally, I2 and NDSI indicators also partially with low accuracy succeeded to detect some salinity areas and had no satisfactory performance.


Main Subjects

Abarsaji, Gh. A., Mahdavi, M., Jouri, M. H., 2012. Determination of Soil Salinity in Frankenia hirsuta L. Habitat (Case Study: Saline and Alkaline Rangelands of Golestan Province). Jour.  Rangeland Science, 2(2), 491-495. (In Persian).
Chamapira, Gh., and Taghavi Ghoudarzi, S., 2011. Geomorphological Facies Zonation, Using GIS and RS and its Application in Natural Resources. (Case Study: Kouhdasht Watershed). Jour. Rangeland Science, 1(2), 143-151.
Dashtkian, K., Pakparvar, M., Abdullahi, J., 2008. Study of preparing methods of soil salinity maps using Landsat satellite data in the Marvast region. Iranian Jour. Range and Desert Research, 15(2), 139-157. (In Persian).
Dehni, A., Lounis, M., 2012. Remote Sensing Techniques for Salt Affected Soil Mapping: Application to the Oran Region of Algeria/Procedia Engineering, 33, 188-198.
Ding, J. L., Wu, M. CH., Tashplot, T., 2011. Study on soil salinization information in arid region using remote sensing technique. Agricultural sciences in China, 10(3), 404-411.
Daem Panah, R., Haghnia, Gh. H., Alizadeh, A., Karimi Karooye, A., 2011. Preparing salinity map and sodium surface soil using remote sensing and geostatistics methods in the south of the Mahvalat city. Jour. Soil and Water, 25(3), 498-508. (In Persian).
Ebrahimi, Z., Mirakbari, M., Kalantari, S. and Ebrahimi, M., 2011. Presentation of the suitable model to estimate vegetation fraction using satellite imagery in arid region case study. Sade- Nahrain –Tabas- Pazohesh Sazandegi, 94: 55-65. (In Persian).
Farifteh, J., Van der Meer, F., Atzberger, C., Carranza, E. J. M., 2007. Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN). Remote Sensing of Environment., 110, 59–78.
Fernandez-Buces, N., Siebe, C., Carm, S., Palacio, J. L., 2005. Mapping soil salinity using a combined spectral response index for bare soil and vegetation: A case study in the former lake Texcoco, Mexico. Jour. Arid Environments., 65, 644-667.
Ghassemi, F., Jakeman, A. J., Nix, H. A., 1995. Stalinization of land and water resources: human causes, extent, management and case studies: Canberra, Australia. The Australian National University, Wallingford, Oxon, UK: CAB International.
Howari, F. M., Goodell, P. C., Miyamoto, S., 2002. Spectral Properties of Salt Crusts Formed on Saline Soils. Miya Published in Jour. Environ. Qual., 31, 1453–1461.
Jafari, M., 1990. Salinity and its effects on soil and plants, Publications of University Jihad, Tehran, Iran, 374 Pp. (In Persian).
Khaier, F., 2003. Soil salinity detection using satellite Remote Sensing M.Sc. Thesis,ITC, Enschede, Netherlands, 23-40.
Khan, S., and Abbas. A., 2007. Remote Sensing Based Modelling Applications in Land and Water Management: Using remote sensing for appraisal of irrigated soil salinity. MODSIM. International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007.
Matinfar, H. R., Sarmadian, F., Alavi Panah, S. K., 1995. Identification of salinity soils of Kashan region based on digital analysis of IRS-1D satellite data and field studies. Water and Watershed magazine. No. 3:1-10. (In Persian).
Meternich, G. J., Zinc, A., 2009. Translators: Aavi Panah, S. K., Matinfar, H. R., Abdul Azimi, H., 2012. Remote sensing of soil salinity (impact on the land management). Tehran University Press. 526. (In Persian).
Sepehry, A., Akhzari, D., Pessarakli, M., and Barani, H, 2012. Effect of salinity, aridity and grazing stress on growth of different halophytic plant species (Agropyron elongatum, Kochia prostrata andPuccinellia distans). American-Eurasian Jour. Agric. & Environ. Sci., 12 (10): 1411-1419.
Tajgardan, T., Ayubi, SH., Khormali, F., 2009. Mapping soil surface salinity using remote sensing data of ETM+ (Case study: North of Agh Ghala, Golestan Province). Jour. Water and Soil Conservation, 16, 1-18.
Yong-Ling Weng, Gong Peng and Zhu Zhi-Liang, 2010. A Spectral Index for Estimating Soil Salinity in the Yellow River Delta Region of China Using EO-1 Hyperion Data, Pedosphere., 20(3), 378–388.
Zaremehrjardiri, M., 2011. Relationships between Geopedological Characteristics and Vegetation Cover: A Case Study in the Dagh-Finou Catchment, Hormozgan Province, Iran. Jour. Rangeland Science., 1(2), 85-94.
Zehtabian, Gh., Azarnivand, H., Ahmadi, H., and Kalantari, S., 2013. Presentation of Suitable Model to Estimate Vegetation Fraction Using Satellite Images in Arid Region (Case Study: Sadough-Yazd, Iran). Jour. Rangeland Science. 3(2),108-117. (In Persian).