ارزیابی روند تغییرات مقدار آب و نمک دریاچۀ ارومیه با پردازش شیءگرای تصاویر ماهوارۀ لندست

Alesheikh A.A., Sadeghi Naeeni, F., Talebzadeh, A. 2003. Improving classification accuracy using external knowledge. GIM International 17(8), 12-15.

Baatz, M., Benz, U., Dehghani, S., Heynen, M., Höltje, A., Hofmann, P., Lingenfelder, I., Mimler, M., Sohlbach, M., Weber, M., Willhauck, G., 2004. eCognition Professional User Guide 4. München: Definiens Imaging GmbH.

Daempanah, R., Haghnia, G.H., Alizadeh A., Karimi A., 2011. Mapping salinity and sodicity of surface soil by remote sensing and geostatistic methods in south side of mah Valat County. Journal of Water and Soil. 25(3):446-458. (In Persian)

Dastranj, H., Tavakoli, F., Soltanpour, A., 2018. Investigating the water level and volume variations of Lake Urmia using satellite images and satellite altimetry, Journal of Geographical Data 27(107), 149-163. (In Persian)

Esmaeili Dahesht, L., Negarestan, H., Eimanifar, A., Mohebbi, F., Ahmadi, R., 2010. The fluctuations of physicochemical factors and phytoplankton populationsof Urmia Lake, Iran. Iranian Journal of Fisheries 9(3), 368-381.

Feizizadeh, B., HajiMirrahimi, M., 2007. Change detection of green space area in Tabriz city using object based image analysis method (1989-2005), National Conference of Urban GIS, August 26-27. 2007. Amol, Iran. (In Persian)

Feizizadeh, B., Helali, H., 2010. Comparison pixel-based, object-oriented methods and effective parameters in classification land cover/ land use of west province Azerbaijan. Journal of Physical Geography Research Quarterly 4 (71), 73-84. (In Persian)

Feizizadeh, B., Shahabi, H., Seyfei, H., 2017. Application of fuzzy-object based image analysis approach for identifying and zoning salt-dust storms of Urmia lake eastern plain. Journal of Environmental Management Hazards 3(3):269-284. (In Persian)

Feizizadeh, B., 2019. A comparative evaluation of pixel-based and object-oriented processing techniques, used for the classification of Aster satellite imageries and extracting agricultural and orchard maps in the eastern margin of Urmia Lake. Journal of Scientific - Research Quarterly of Geographical Data 28(109), 167-183. (In Persian)

Hoffmann, A., Van der Vegt, J.W., 2001. New sensor systems and new classification methods: laser- and digital camera-data meet object-oriented strategies. Geo informations systeme (GIS), 6:18-23.

James, D., Hurad. Daniel, L., Civco Martha, S., Gilmore Emily, H., 2006. Tidal Wetland Classification from Landsat Imagery Using an Integrated Pixel-based and Object-based Classification Approach. ASPRS 2006 Annual Conference Reno, Nevada. May 1-5, 2006.

Khademi, F., Pirkharrati, H., Shahkarami, S., 2015. Investigation of increasing trend of saline soils around Urmia Lake and its environmental impact, using RS and GIS. Quarterly Journal of Geoscience, 24(94):93-98. (In Persian)

Metternicht, G., Zinck, A., 2008. Remote sensing of soil salinization: Impact on land management. Translators: Alavipanah k., Matinfar H. R., and Abdolazimi H. 2014. Tehran University Press, Tehran. (In Persian)

Moharrami, M., Rasuly, A.A., Rostamzadeh, H. 2016. Modeling the impacts of Urmia lake retrogression upon the east coast villages by object-based image analysis procedure. Journal of Spatial Analysis Environmental Hazards. 3(3): 81-95. (In Persian with English abstract)

Nasiri, N., Oskouei, M., Madani, Y., Ghahremani, A. 1996. Lake Urmia National Park. Press of Western Azerbaijan province department of environment. (In Persian)

Pacifici, F., Chini M., Emery, W.J. 2009. A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification. Journal of Remote Sensing of Environment 113(6), 1276-1292.

Rasouli, A.A., Abbasian, S., Jahanbakhsh, S., 2008. Monitoring of Urmia lake water surface fluctuations by processing of multi- sensors and multi-temporal imageries. Journal of Spatial Planning, 12(2):53-71. (In Persian)

Rasouli, A.A., Mahmoudzadeh, H. 2010. Fundamentals of remote sensing, basic sciences, Elmiran publications, Tabriz. (In Persian)

Rengasamy, P. 2006. World salinization with emphasis on Australia. Journal of Experimental Botany 57(5), 1017-1023.

Sanaeinejad, S.H., Astaraei, A., Ghaemi M., Mirhosseini, P., 2011. Assessment of satellite images for soil salinity studies (case study: Neyshabur region). Iranian Journal of Field Crops Research 9(3), 348-355. (In Persian).

Schiewe, J., Tufte, L., Ehlers, M., 2001. Potential and problems of multi–scale segmentation methods in remote sensing. Geo Information System (GIS) 6(1), 34-39.

Sehat, M., Mohammadi, A., 2017. Evaluation of Lake Urmia area and its relation to water level using remote sensing and artificial neural network. 16th Iranian Hydraulics Conference in date 2017-09-06. University of Mohaghegh Ardabili., Ardabil, Iran. (In Persian)

Sharifikia, M., Afzali, A. 2012. Soil salinity increasing procedure assessment in damghan fan with remote sensing method and field data. Journal of Geography and Environmental Hazards, 1(3), 73-86. (in Persian with English abstract)

Valizadeh, K., Khorrami, B. 2018. Change detection and prediction of Urmia Lake and its surrounding environment during the past 60 years applying geobased remote sensing analysis. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W4, 2018 GeoInformation for Disaster Management (Gi4DM), 18–21 March. 2018. Istanbul, Turkey.

Winarso, G., Budhiman, S., 2001. The potential application of remote sensing data for coastal study, Proc. 22nd Asian Conference on Remot Sensing. Singapore. 5-9 November. 2001. Singapore.

Yan, G., 2003. Pixel based and object oriented image for coal fire research (Doctoral dissertation, Thesis (MSc). ITC, Netherlands).