Abidin, S. Z. Z., Zamani, N. A. M., & Aliman, S. (2019). A computerized tool based on cellular automata and modified game of life for urban growth region analysis. Communications in Computer and Information Science, 937, 374–386. doi: 10.1007/978-981-13-3441-2_29/ COVER
Alam, I., Nahar, K., & Morshed, M. M. (2023). Measuring urban expansion pattern using spatial matrices in Khulna City, Bangladesh. Heliyon, 9(2). doi: 10.1016/J.HELIYON.2023.E13193
Angel, S., Parent, J., & Civco, D. (2007). Urban sprawl metrics: An analysis of global urban expansion using GIS (pp. 22–33). https://nyuscholars.nyu.edu/en/publications/urban-sprawl-metrics-an-analysis-of-global-urban-expansion-using-
Arifeen, H. M., Phoungthong, K., Mostafaeipour, A., Yuangyai, N., Yuangyai, C., Techato, K., & Jutidamrongphan, W. (2021). Determine the Land-Use Land-Cover Changes, Urban Expansion and Their Driving Factors for Sustainable Development in Gazipur Bangladesh. Atmosphere 2021, Vol. 12, Page 1353, 12(10), 1353. doi: 10.3390/ATMOS12101353
Azhdari, A., Taghvaee, A., & Kheyroddin, R. (2018). Spatiotemporal analysis of Shiraz metropolitan area expansion during 1986-2014: Using remote sensing imagery and landscape metrics. Iran University of Science & Technology. doi: 10.22068/IJAUP.28.2.163
Badiei, N., Almodaresi, S.A., & Saraei, M.H. (2022). The Assessment of Urban Growth Spatial Structure, the Case of Shiraz Metropolis. Journal of Technical and Vocational University, 19(4), 177-193. doi: 10.48301/kssa.2022.331648.2028. (In Persian)
Bagheri, B., & Soltani, A. (2023). The spatio-temporal dynamics of urban growth and population in metropolitan regions of Iran. Habitat International, 136, 102797. doi: 10.1016/J. HABITATINT.2023.102797
Basu, T., Das, A., Das, K., & Pereira, P. (2023). Urban expansion induced loss of natural vegetation cover and ecosystem service values: A scenario-based study in the siliguri municipal corporation (Gateway of North-East India). Land Use Policy, 132, 106838. doi: 10.1016/J.LANDUSEPOL.2023.106838
Cao, H., Chen, J., Chen, C., & Li, P. (2022). Identification of multi-temporal urban growth patterns with a modified urban growth index: Case study of three fast growing cities in the Greater Mekong Subregion (GMS). Ecological Indicators, 142, 109206. doi: 10.1016/J.ECOLIND. 2022.109206
Cengiz, S., Görmüş, S., & Oğuz, D. (2022). Analysis of the urban growth pattern through spatial metrics; Ankara City. Land Use Policy, 112, 105812. doi: 10.1016/J.LANDUSEPOL.2021. 105812
Chakraborty, S., Dadashpoor, H., Novotný, J., Maity, I., Follmann, A., Patel, P. P., Roy, U., & Pramanik, S. (2022). In pursuit of sustainability – Spatio-temporal pathways of urban growth patterns in the world’s largest megacities. Cities, 131, 103919. doi: 10.1016/J.CITIES.2022. 103919
Chakraborty, S., Maity, I., Dadashpoor, H., Novotnẏ, J., & Banerji, S. (2022). Building in or out? Examining urban expansion patterns and land use efficiency across the global sample of 466 cities with million+ inhabitants. Habitat International, 120, 102503. doi: 10.1016/J. HABITATINT.2021.102503
Cheng, L. L., Tian, C., & Yin, T. T. (2022). Identifying driving factors of urban land expansion using Google Earth Engine and machine-learning approaches in Mentougou District, China. Scientific Reports 2022 12:1, 12(1), 1–13. doi: 10.1038/s41598-022-20478-z
Chettry, V. (2022). Peri-urban area delineation and urban sprawl quantification in Thiruvananthapuram Urban Agglomeration, India, from 2001 to 2021 using geoinformatics. Applied Geomatics, 14(4), 639. doi: 10.1007/S12518-022-00460-0
Dahal, K., & Lindquist, E. (2018). Spatial, Temporal and Hierarchical Variability of the Factors Driving Urban Growth: A Case Study of the Treasure Valley of Idaho, USA. Applied Spatial Analysis and Policy, 11(3), 481–510. doi: 10.1007/S12061-017-9227-5/METRICS
Das, S., & Angadi, D. P. (2021). Assessment of urban sprawl using landscape metrics and Shannon’s entropy model approach in town level of Barrackpore sub-divisional region, India. Modeling Earth Systems and Environment, 7(2), 1071–1095. doi: 10.1007/S40808-020-00990-9/METRICS
Getu, K., & Bhat, H. G. (2021). Analysis of spatio-temporal dynamics of urban sprawl and growth pattern using geospatial technologies and landscape metrics in Bahir Dar, Northwest Ethiopia. Land Use Policy, 109, 105676. doi: 10.1016/J.LANDUSEPOL.2021.105676
He, Q., Zeng, C., Xie, P., Tan, S., & Wu, J. (2019). Comparison of urban growth patterns and changes between three urban agglomerations in China and three metropolises in the USA from 1995 to 2015. Sustainable Cities and Society, 50, 101649. doi: 10.1016/J.SCS.2019. 101649
Hosseini, S. H., & Hajilou, M. (2019). Drivers of urban sprawl in urban areas of Iran. Papers in Regional Science, 98(2), 1137–1158. doi: 10.1111/PIRS.12381
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. doi: 10.1016/J.JAG.2007.04.002
K, D., & Angadi, D. P. (2021). Urban expansion quantification from remote sensing data for sustainable land-use planning in Mangaluru, India. Remote Sensing Applications: Society and Environment, 23, 100602. doi: 10.1016/J.RSASE.2021.100602
Karimi, B., Peyvastehgar, Y., & Taghvaei, M. (2018). Research and urban planning, 11(40), 123 -136. dor: 20.1001.1.22285229.1399.11.40.9.6. (In Persian)
Li, C., Zhao, J., & Xu, Y. (2017). Examining spatiotemporally varying effects of urban expansion and the underlying driving factors. Sustainable Cities and Society, 28, 307–320. doi: 10.1016/J.SCS.2016.10.005
Liang, J., Xie, Y., Sha, Z., & Zhou, A. (2020). Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE). Computers, Environment and Urban Systems, 84, 101542. doi: 10.1016/J.COMPENVURBSYS.2020.101542
Liu, X., Li, X., Chen, Y., Tan, Z., Li, S., & Ai, B. (2010). A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data. Landscape Ecology, 25(5), 671–682. doi: 10.1007/S10980-010-9454-5/METRICS
Lu, H., Wang, R., Ye, R., & Fan, J. (2023). Monitoring Long-Term Spatiotemporal Dynamics of Urban Expansion Using Multisource Remote Sensing Images and Historical Maps: A Case Study of Hangzhou, China. Land 2023, Vol. 12, Page 144, 12(1), 144. doi: 10.3390/LAND12010144
Manesha, E. P. P., Jayasinghe, A., & Kalpana, H. N. (2021). Measuring urban sprawl of small and medium towns using GIS and remote sensing techniques: A case study of Sri Lanka. The Egyptian Journal of Remote Sensing and Space Science, 24(3), 1051–1060. doi: 10.1016/J.EJRS.2021.11.001
Moghani Rahimi, F., Mazidi, A. (2024). Studying and Monitoring Changes in Horul Azim Wetland Using Landsat 8 Images. Geography and Environmental Sustainability, 14 (1), 13-33. doi: 10.22126/GES.2023.9738.2698. (In Persian)
Moghani Rahimi, F., Mazidi, A., Ghafarian Malamiri, H. (2022). An investigation of urban development and land cover changes in abarkoh city combining bands from landsat 7 and 8 satellite images. Geographical Data (SEPEHR), 31 (121), 127-141. doi: 10.22131/sepehr. 2022.252773. (In Persian)
Mohimi, A., Fadaei Qotbi, M., Esmaeily, A., Ghazanfarpour, H. (2021). Evaluating the Physical-Spatial Indices in Determination of Urban Sprawl Patterns Using Remote Sensing (Case Study: City of Kerman). Geographical Planning of Space, 10 (38), 107-126. doi: 10.30488/gps.2021.164892.2974. (In Persian)
Nasehi, S., Nohegar, A., Fahadi, R. (2024). Spatiotemporal Analysis of Urban Growth Patterns to Provide Strategies for Sustainable Land Planning (Case Study: Bandar Abbas City). Geography and Environmental Sustainability, 13 (4), 69-83. doi: 10.22126/GES.2023.9381. 2675. (In Persian)
Nong, D. H., Lepczyk, C. A., Miura, T., & Fox, J. M. (2018). Quantifying urban growth patterns in Hanoi using landscape expansion modes and time series spatial metrics. PLOS ONE, 13(5), e0196940. doi: 10.1371/JOURNAL.PONE.0196940
Ozturk, D. (2017). Assessment of urban sprawl using Shannon’s entropy and fractal analysis: a case study of Atakum, Ilkadim and Canik (Samsun, Turkey). Journal of Environmental Engineering and Landscape Management, 25(3), 264–276. doi: 10.3846/16486897.2016. 1233881
Parvinnezhad, D., Delavar, M. R., Claramunt, C., & Pijanowski, B. C. (2021). A modified spatial entropy for urban sprawl assessment. Geocarto International, 36(16), 1804–1819. doi: 10.1080/10106049.2019.1678676
Pinheiro, G., & Minz, S. (2023). Image Quality Evaluation of Various Pan-Sharpening Techniques Using Landsat-8 Imagery. 391–403. doi: 10.1007/978-981-99-1620-7_31
Pradhan, B., Abdullahi, S., & Al-sharif, A. A. A. (2017). Introduction to urban growth and expansion. Spatial Modeling and Assessment of Urban Form: Analysis of Urban Growth: From Sprawl to Compact Using Geospatial Data, 3–15. doi: 10.1007/978-3-319-54217-1_1/COVER
Rath, S. S., Mohanty, S., & Panda, J. (2022). Analyzing the Fragmentation of Urban Footprints in Eastern and Southern Indian Cities and Driving Factors. Journal of the Indian Society of Remote Sensing, 50(8), 1499–1517. doi: 10.1007/S12524-022-01546-3/METRICS
Rimal, B., Sloan, S., Keshtkar, H., Sharma, R., Rijal, S., & Shrestha, U. B. (2020). Patterns of Historical and Future Urban Expansion in Nepal. Remote Sensing 2020, Vol. 12, Page 628, 12(4), 628. doi: 10.3390/RS12040628
Sahana, M., Ravetz, J., Patel, P. P., Dadashpoor, H., & Follmann, A. (2023). Where Is the Peri-Urban? A Systematic Review of Peri-Urban Research and Approaches for Its Identification and Demarcation Worldwide. Remote Sensing 2023, Vol. 15, Page 1316, 15(5), 1316. doi: 10.3390/RS15051316
Salem, M., Bose, A., Bashir, B., Basak, D., Roy, S., Chowdhury, I. R., Alsalman, A., & Tsurusaki, N. (2021). Urban Expansion Simulation Based on Various Driving Factors Using a Logistic Regression Model: Delhi as a Case Study. Sustainability 2021, Vol. 13, Page 10805, 13(19), 10805. doi: 10.3390/SU131910805
Seevarethnam, M., Rusli, N., Ling, G. H. T., & Said, I. (2021). A Geo-Spatial Analysis for Characterising Urban Sprawl Patterns in the Batticaloa Municipal Council, Sri Lanka. Land 2021, Vol. 10, Page 636, 10(6), 636. doi: 10.3390/LAND10060636
Shaw, R., & Das, A. (2018). Identifying peri-urban growth in small and medium towns using GIS and remote sensing technique: A case study of English Bazar Urban Agglomeration, West Bengal, India. The Egyptian Journal of Remote Sensing and Space Science, 21(2), 159–172. doi: 10.1016/J.EJRS.2017.01.002
Shi, Y., Sun, X., Zhu, X., Li, Y., & Mei, L. (2012). Characterizing growth types and analyzing growth density distribution in response to urban growth patterns in peri-urban areas of Lianyungang City. Landscape and Urban Planning, 105(4), 425–433. doi: 10.1016/ J.LANDURBPLAN.2012.01.017
Wu, C., Li, C., Ouyang, L., Xiao, H., Wu, J., Zhuang, M., Bi, X., Li, J., Wang, C., Song, C., Qiu, T., Haase, D., Hahs, A., & Finka, M. (2022). Spatiotemporal evolution of urbanization and its implications to urban planning of the megacity, Shanghai, China. Landscape Ecology 2022 38:4, 38(4), 1105–1124. doi: 10.1007/S10980-022-01578-7
Wu, J., Wu, C., Zhang, Q., Zhuang, M., Xiao, H., Wu, H., Ouyang, L., Liu, Y., Meng, C., Song, C., Haase, D., & Li, J. (2023). Spatiotemporal Evolution of Urban Agglomeration and Its Impact on Landscape Patterns in the Pearl River Delta, China. Remote Sensing 2023, Vol. 15, Page 2520, 15(10), 2520. doi: 10.3390/RS15102520
Xu, C., Liu, M., Zhang, C., An, S., Yu, W., & Chen, J. M. (2007). The spatiotemporal dynamics of rapid urban growth in the Nanjing metropolitan region of China. Landscape Ecology, 22(6), 925–937. doi: 10.1007/S10980-007-9079-5/METRICS
Zachary, D., & Dobson, S. (2021). Urban Development and Complexity: Shannon Entropy as a Measure of Diversity. Planning Practice & Research, 36(2), 157–173. doi: 10.1080/ 02697459.2020.1852664
Zhao, J., Zhu, C., & Zhao, S. (2015). Comparing the Spatiotemporal Dynamics of Urbanization in Moderately Developed Chinese Cities over the Past Three Decades: Case of Nanjing and Xi’an. Journal of Urban Planning and Development, 141(4). doi: 10.1061/(ASCE)UP.1943-5444.0000251