تقی زاده، سیامک؛ منوچهر معصومی. (1388)، بررسی تغییرات کاربری اراضی شهرستان نقده با استفاده از تکنیک های سنجش از دور و سیستم اطلاعات جغرافیایی در بازه زمانی(1343-1388)، سپهر، 59-65.
جلالیان, حمید؛ پرویزضیائیان، پرستو دارویی و خدیجه کریمی (1394). تحلیل خزش شهری و تحولات کاربری اراضی (مطالعات تطبیقی شهرهای ارومیه و اصفهان)، فصلنامه علمی ـ پژوهشی برنامه‌ریزی توسعه کالبدی, 2(4), 73-98.
خاکپور، براتعلی؛ سعدالله ولایتی و قاسم کیانژاد، قاسم. (1386)، الگوی تغییر کاربری اراضی شهر بابل-طی سالهای 78-1362، نشریه جغرافیا و توسعه ناحیهای، 5(9) 45-64.
علوی پناه، سید کاظم، (1382)، کاربرد سنجش از دور در علوم زمین(علوم خاک). انتشارات دانشگاه تهران.
فارسی، جواد ومریم یوسفی (1392)، آشکارسازی تغییرات کاربری اراضی با استفاده از دادههای سنجش از دور (مطالعه موردی: دشت بجنورد)، نشریه جغرافیا و مطالعات محیطی، 2(7)، ۹۵-۱۰۶.
فیضی زاده، بختیار و سید محمود حاجی میر رحیمی (1386)، اشکارسازی تغییرات کاربری اراضی با استفاده از روش طبقهبندی شی گرا (مطالعه موردی: شهرک اندیشه)، همایش ژئوماتیک 87، سازمان نقشهبرداری، 40-50.
Adami, M., Rudorff, B. F. T., Freitas, R. M., Aguiar, D. A., Sugawara, L. M., & Mello, M. P. (2012). Remote sensing time series to evaluate direct land use change of recent expanded sugarcane crop in Brazil. Sustainability, 4(4), 574-585.
Ajayi, Adedeji, H., Adeofun, C & Awokola, S. (2016). Land Use Change Assessment, Prediction Using Remote Sensing, and GIS Aided Markov Chain Modelling at Eleyele Wetland Area, Nigeria. Journal of Settlements and Spatial Planning, 7(1), 51.
Azizi, A., Malakmohamadi, B., & Jafari, H. (2016). Land use and land cover spatiotemporal dynamic pattern and predicting changes using integrated CA-Markov model. Global Journal of Environmental Science and Management, 2(3), 223-234.
Boori, M. S., Voženílek, V., & Choudhary, K. (2015). Land use/cover disturbance due to tourism in Jeseníky Mountain, Czech Republic: A remote sensing and GIS based approach. The Egyptian Journal of Remote Sensing and Space Science, 18(1), 17-26.
Cabral, P., & Zamyatin, A. (2009). Markov processes in modeling land use and land cover changes in Sintra-Cascais, Portugal. Dyna, 76(158), 191-198.
Dadras, M., Shafri, H. Z., Ahmad, N., Pradhan, B., & Safarpour, S. (2015). Spatio-temporal analysis of urban growth from remote sensing data in Bandar Abbas city, Iran. The Egyptian Journal of Remote Sensing and Space Science, 18(1), 35-52.
Effat, H. A., & El Shobaky, M. A. (2015). Modeling and Mapping of Urban Sprawl Pattern in Cairo Using Multi-Temporal Landsat Images, and Shannon’s Entropy. Advances in Remote Sensing, 4(04), 303.
George, J. (2016). Land Use/Land Cover Mapping With Change Detection Analysis of Aluva Taluk Using Remote Sensing and GIS. International Journal of Science, Engineering and Technology, 4(2), 383-389.
Gong, W., Yuan, L., Fan, W., & Stott, P. (2015). Analysis and simulation of land use spatial pattern in Harbin prefecture based on trajectories and cellular automata—Markov modelling. International Journal of Applied Earth Observation and Geoinformation, 34, 207-216.
Jain, M., Dimri, A. P., & Niyogi, D. (2016). Urban Sprawl Patterns and Processes in Delhi from 1977 to 2014 Based on Remote Sensing and Spatial Metrics Approaches. Earth Interactions, 20(14), 1-29.
Jat, M. K., Garg, P. K., & Khare, D. (2008). Monitoring and modelling of urban sprawl using remote sensing and GIS techniques. International journal of Applied earth Observation and Geoinformation, 10(1), 26-43.
Jensen, J. R.; (2005). Introductory digital image processing: A remote sensing perspective (3rd Edn), Upper Saddle River, NJ: Prentice-Hall.
Ji, W., Ma, J., Twibell, R. W., & Underhill, K. (2006). Characterizing urban sprawl using multi-stage remote sensing images and landscape metrics.Computers, Environment and Urban Systems, 30(6), 861-879.
Karna, B. K., Mandal, U. K., & Bhardwaj, A. (2013). Urban sprawl modeling using RS and GIS technique in Kirtipur municipality. Nepalese Journal of Geoinformatics, 12, 50-56.
Louca, M., Vogiatzakis, I. N., & Moustakas, A. (2015). Modelling the combined effects of land use and climatic changes: Coupling bioclimatic modelling with Markov-chain Cellular Automata in a case study in Cyprus.Ecological Informatics, 30, 241-249.
Lu, D., Mausel, P., Batistella, M., & Moran, E. (2005). Land‐cover binary change detection methods for use in the moist tropical region of the Amazon: a comparative study. International Journal of Remote Sensing, 26(1), 101-114.
Megahed, Y., Cabral, P., Silva, J., & Caetano, M. (2015). Land cover mapping analysis and urban growth modelling using remote sensing techniques in Greater Cairo Region—Egypt. ISPRS International Journal of Geo-Information, 4(3), 1750-1769.
Mishra, Monalisha, Mishra, Kamal Kant & Subudhi, A. P., (2014). Urban spraw mapping and land use change analysis using remote sensing and GIS (Case study of Bhubaneswar City, Orissa). Retrieved from www.gisresources.com
Nazarnia, N., Schwick, C., & Jaeger, J. A. (2016). Accelerated urban sprawl in Montreal, Quebec City, and Zurich: Investigating the differences using time series 1951–2011. Ecological Indicators, 60, 1229-1251.
Pontius, R. G. (2000). Quantification error versus location error in comparison of categorical maps. Photogrammetric engineering and remote sensing, 66(8), 1011-1016.
Rajitha, K., Mukherjee, C. K., Vinu Chandran, R., & Prakash Mohan, M. M. (2010). Land-cover change dynamics and coastal aquaculture development: a case study in the East Godavari delta, Andhra Pradesh, India using multi-temporal satellite data. International Journal of Remote Sensing, 31(16), 4423-4442.
Rashmi, M. K., & Lele, N. (2010). Spatial modeling and validation of forest cover change in Kanakapura region using GEOMOD. Journal of the Indian Society of Remote Sensing, 38(1), 45-54.
Sarvestani, M. S., Ibrahim, A. L., & Kanaroglou, P. (2011). Three decades of urban growth in the city of Shiraz, Iran: A remote sensing and geographic information systems application. Cities, 28(4), 320-329.
Sidhu, N., Rishi, M. S., & Singh, R. (2016). Spatio-Temporal Study of the Distribution of Land Use and Land Cover Change Pattern in Chandigarh, India Using Remote Sensing and GIS Techniques. In Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment (pp. 785-789). Springer International Publishing.
Silveira, J. J., Espíndola, A. L., & Penna, T. J. P. (2006). Agent-based model to rural–urban migration analysis. Physica A: Statistical Mechanics and its Applications, 364, 445-456.
Singh, P., & Khanduri, K. (2011). Land use and land cover change detection through remote sensing & GIS technology: case study of Pathankot and Dhar Kalan Tehsils, Punjab. Journal, of. Geomatics and Geosciences, 1(4), 839-846.
Sisodia, P. S., Tiwari, V., & Dahiya, A. K. (2016). Urban Sprawl Monitoring using Remote Sensing and GIS Techniques of the City Jaipur, India.International Journal of Applied Geospatial Research (IJAGR), 7(3), 93-104.
Wakode, Hemant Balwant, Klaus, Baier,Ramakar, Jha. & Raffig, Azzam, (2014).Analysis of urban growth using Lands at TM/ETM data and GIS- a case study of Hyderabad, India. Arabian Journal of Geosciences, 7(1), 109-121.
Wu, Q., Li, H. Q., Wang, R. S., Paulussen, J., He, Y., Wang, M., ... & Wang, Z. (2006). Monitoring and predicting land use change in Beijing using remote sensing and GIS. Landscape and urban planning, 78(4), 322-333.
Xu, C. H. E. N., Shi-Xiao, Y. U., & ZHANG, Y. P. (2013). Evaluation of spatiotemporal dynamics of simulated land use/cover in China using a probabilistic cellular automata-Markov Model. Pedosphere, 23(2), 243-255.
Yang, X., Zheng, X. Q., & Lv, L. N. (2012). A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata. Ecological Modelling, 233, 11-19.
Yeh, A. G. O., & Xia, L. (2001). Measurement and monitoring of urban sprawl in a rapidly growing region using entropy. Photogrammetric engineering and remote sensing, 67(1), 83-90.
)