احمدی، فرزانه؛ یاراحمدی، داریوش؛ میرهاشمی، حمید. (1402). آشکارسازی تأثیر روند گسترش بافت شهری بر تغییرات دمای شهر خرم‌آباد، . پژوهشهای تغییرات آبوهوایی، دانشگاه گلستان، دوره 4، شماره 15 ، صص 38-23.
https://ccr.gu.ac.ir/article_180212.html
اکبری، عطااله؛ اسکندری ثانی، محمد؛ اسماعیلنژاد، مرتضی. (1401). شاخص‌های مؤثر بر تحقق الگوی کاربری زمین و گسترش آتی محدوده‌های شهری زاهدان در طرح توسعة جامع شهر، فصلنامة تحقیقات جغرافیایی، دوره 37، شماره 4، صص 417-427.
https://georesearch.ir/article-1-1393-fa.html
امانپور، سعید؛ غلامی، سمیه؛غفارزاده، فرحناز. (1394). تحلیل ویژگیهای مکانی-زمانی گسترش شهری مناطق شهر شیراز در بازة زمانی 1385تا 1391، فصلنامة علمی پژوهشهای بومشناسی شهری، دانشگاه پیام نور، دوره 6، شماره 11، 24-9.
https://grup.journals.pnu.ac.ir/article_2010.html
انصاری، میترا؛ شریعتپناهی، مجیدولی؛ ملک حسینی، عباس ؛ مدیری، مهدی. (1397). تحلیل الگوی گسترش شهری در شهرهای میانه‌اندام با استفاده از مدل‌های کمی (مطالعة موردی: شهر ملایر)، آمایش محیط، دانشگاه آزاد اسلامی واحد ملایر ، دوره 11، شماره 43، صص 182-147.
sid.ir/fa/journal/ViewPaper.aspx?id=474369
حسینیخواه، حسین؛ زنگیآبادی، علی. (1396). تحلیل روند و نحوۀ گسترش شهرهای سیاسی-اداری ایران (مورد پژوهشی: یاسوج از پیدایش تاکنون)، جغرافیا و برنامهریزی محیطی، دانشگاه اصفهان، دوره 28، شماره 4، صص 164-143.doi: 10.22108/gep.2017.98167.0
حکیمی، هادی؛ مصطفایی جورنی، فردین. (1403). بررسی روند زمانی- فضایی توسعة فیزیکی شهر ارومیه در طی دو دهة اخیر با تأکید بر شناسایی مؤلفه‌های تأثیرگذار بر آن، فضای شهری و حیات اجتماعی، دانشگاه تبریز، دوره 3، شماره 8، صص 62-75.
https://urplanning.tabrizu.ac.ir/article_17894.html
حیدری سورشجانی، رسول؛ بیگی، احمدعلی. (1397). بررسی رابطة الگوهای فضایی کاربری زمین شهری بر رشد و گسترش شاخکهای خزندة شهری (مطالعة موردی: شهر رشت)، تحقیقات کاربردی علم جغرافیایی، دانشگاه خوارزمی تهران، دوره 18، شماره 51، صص 86-65.
https://jgs.khu.ac.ir/article-1-2779-fa.html
لطفی، صدیقه؛ علیزاده، توحید. (1402). شناسایی و پایش تغییرات رشد و گسترش شهری با استفاده از اختلاط‌زدایی طیفی تصاویر سنجشازدور و فنون سامانه اطلاعات جغرافیایی در سطح خرد (مطالعة موردی: شهر آمل)، نشریة سنجشازدور و« GIS» ایران،
انجمن سنجش از دور ایران، ، دوره 16، شماره 3، صص 164-147.
doi:10.48308/GISJ.2023.103727
منصوری، میلاد؛ رورده، همتاله؛ صفرراد، طاهر. (1402). واکاوی تأثیر گسترش شهری بر تغییرات مکانی جزیرة حرارتی شهر ساری، مطالعات ساختار و کارکرد شهری، دانشگاه مازندران، دوره 11، شماره 38، صص 240-215.doi: 10.22080/usfs.2023.25957.2383
موحد، علی؛ شهسوار،امین. (1399). تحلیل میزان رضایت شهروندان از گسترش بلندمرتبه‌سازی و توسعة فشردة شهری (مورد مطالعه: منطقه یک شهرداری شهر ارومیه)، جغرافیا و برنامهریزی، دانشگاه تبریز، دوره 24، شماره 74، صص 261-249.
https://geoplanning.tabrizu.ac.ir/article_12334.html
یزدانی، محمدحسن؛ فرزانهسادات زارنجی، ژیلا.(1402). مکان‌یابی بهینة گسترش کالبدی شهر سردشت با استفاده از روش‌های ترکیبی و فرآیند انتقال شبکة فازی سامانه اطلاعات مکانی، دانش پیشگیری و مدیریت بحران، ، دوره 13، شماره 4، صص 489-474.
doi: 10.32598/DMKP.13.4.779.1
Abedini, A.; Khalili, A. Determining the capacity infill development in growing metropolitans: A case study of Urmia city. J. Urban Manag
. 2019, 8, 316–327.
www.sciencedirect.com
Abedini A, Aram F, Khalili A, Mirzaei E. Recognition and Evaluating the Indicators of Urban Resilient by Using the Network Analysis Process.
Urban Science. 2022; 6(2):31.
https://doi.org/10.3390/urbansci6020031
Al Rifat, S. A., & Liu, W. (2019). Quantifying spatiotemporal patterns and major explanatory factors of urban expansion in miami metropolitan area during 1992-2016.
Remote Sensing,
11(21 ).
https://doi.org/10.3390/rs11212493
Assari, A., Birashk, B., Mousavi Nik, M., & Naghdbishi, R. (2016). IJTPE Journal IMPACT OF BUILT ENVIRONMENT ON MENTAL HEALTH: REVIEW OF TEHRAN CITY IN IRAN.
International Journal On,
26(1), 81–87.DOI:
10.13140/RG.2.1.3575.2087
Abedini, A., Khalili, A., khorram, F., & ghorbani, S. (2020). Feasibility study on the implementation of a knowledge-based city in Tabriz metropolis with a knowledge-based approach. Urban Structure and Function Studies, 7(24), 155-175.doi: 10.22080/usfs.2020.16690.1829
Angel, S., Sheppard, S., Civco, D. L., Buckley, R., Perlin, S., & Herold, M. (2007). The dynamics of global urban expansion. Washington, DC: Transportation Research Board.
The Dynamics of global urban expansion | Cities Alliance
Alberti, M. (2008). Advances in Urban Ecology: Integrating Humans and Ecological Processes in Urban Ecosystems. Springer Science+Business Media, Boston, MA. CrossRef.
Batty, M. (2005). Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. The MIT Press.
mitpress.mit.edu
Baker, J., Van Der Leeuw, S., & Van Os, B. (2015). Landscape metrics for assessing ecological connectivity and fragmentation. Ecological Indicators, 58, 192-198.
www.sciencedirect.com
Bouhennache, R.; Bouden, T.; Taleb, A. A.; Chaddad, A. (2015). Extraction of urban land features from TM Landsat image using the land features index and Tasseled cap transformation. Recent Advances on Electro science and Computers.
https://www.inase.org/
Brueckner, J. K. (2011).
Urban economics. Cambridge University Press.
mitpress.mit.edu
Badoe, Daniel & Miller, Eric. (2000). Transportation-land-use interaction: Empirical findings in North America, and their implications for modeling. Transportation Research Part D: Transport and Environment. 5. 235-263. 10.1016/S1361-9209(99)00036-X.
www.sciencedirect.com
Cervero, R., & Kockelman, K. (1997). Travel Demand and the 3Ds: Density, Diversity, and Design. Transportation Research Part D: Transport and Environment, 2(3), 199-219.
www.sciencedirect.com
Cheng, J., Wang, S., & Song, W. (2014). A new index for assessing landscape fragmentation based on the concept of nearest neighbor distance. Ecological Indicators, 45, 253-257.
Cheng, J., Zhang, Y., & Li, Z. (2019). A gradient model for land use classification using remote sensing data. Remote Sensing of Environment, 231, 111476.
Diggle, P. J. (2013). Statistical Analysis of Spatial and Spatio-Temporal Point Patterns (3rd Edition). CRC Press.
www.routledge.com
Eckhardt, S., De Jong, R., & Demuzeau, O. (2008). An approach to using Landsat data to assess productivity changes in semiarid rangelands. International Journal of Remote Sensing, 29(14), 4057-4077.
Eckhardt, S., De Jong, R., & Demuzeau, O. (2003). Remote sensing of the distribution and production of vegetation in semi-arid regions: A review of spectral indexes. Journal of Arid Environments, 57(1), 29-60.
Elhakeem, A., & Wrigley, N. (2012). Measuring the spatial distribution of land use categories: A case study of the Greater Cairo urban area, Egypt. Landscape and Urban Planning, 106(1-2), 134-141.
Feyisa, G. L., Mehari, A. S., & Bewket, W. (2014). Water resources assessment using the modified normalized difference water index (MNDWI) at Hare watershed, eastern Ethiopia. Journal of African Earth Sciences, 95, 106-114.
Gao, H., Huete, A. R., Ni, W., & Miura, T. (2009). Optical monitoring of large-area snowpack properties and runoff prediction using the MODIS and AMSR-E products. Remote Sensing of Environment, 113(12), 2990-3001.
Gong, J., Hu, Z., Chen, W., Liu, Y., & Wang, J. (2018). Urban expansion dynamics and modes in metropolitan Guangzhou, China.
Land Use Policy,
72, 100-109.
https://doi.org/10.1016/j.landusepol.2017.12.025
Hu, Z.-L., Du, P.-J., & Guo, D.-Z. (2007). Analysis of urban expansion and driving forces in Xuzhou city based on remote sensing.
Journal of China University of Mining and Technology, 17(2), 267–271.
www.sciencedirect.com
Hu, X., Gao, J., & Li, Z. (2006). A modified normalized difference vegetation index to reduce the impact of atmospheric scattering and soil brightness. International Journal of Remote Sensing, 32(18), 5695-5705.
Huang, B., Zhao, B., Song, Y., Zhang, J., Wang, S., Liu, Z. Z., & Huang, J. (2019). Urban land use mapping using a combination of spectral, spatial and temporal information of Landsat 8 OLI imagery. International Journal of Applied Earth Observation and Geoinformation, 78, 251-264.
https://www.sciencedirect.com/journal/international-journal-of-applied-earth-observation-and-geoinformation/vol/73/suppl/C
He, C., Shi, P., Zhao, S., Li, J., Zhang, X., & Liu, Y. (2015). Urban expansion monitoring in China using Landsat time series data. Science of The Total Environment, 502, 533-543.
Huang, S. L., Lee, Y. C., Budd, W. W., & Yang, M. C. (2012). Analysis of changes in farm pond network connectivity in the peri-urban landscape of the Taoyuan area, Taiwan.
Environmental Management,
49, 915-928.
Analysis of changes in farm pond network connectivity in the peri-urban landscape of the Taoyuan area, Taiwan - PubMed (nih.gov)
Huang, H. (2007). A new method for detecting the linear pattern of urban development using remote sensing data. Remote Sensing of Environment, 111(3), 473-481.
Herold, M., Scepan, J., & Clarke, K. C. (2002). The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environment and Planning A: Economy and Space, 34(8), 1443-1458.
https://doi.org/10.1068/a3496
Huete, A. R., Tucker, C. J., Kimes, D. S., & Van Leeuwen, W. J. D. (1991). Satellite remote sensing of primary production and water cycle in arid and semi-arid regions. Remote Sensing of Environment, 35(3), 217-233.
www.researchgate.net
Hong, Y. Y.; Morris, M.; Chiu, C. Y.; Benet-Martínez, V. (2000). Multicultural minds: A dynamic constructivist approach to culture and cognition. American Psychologist, 55: pp.709-720
www.semanticscholar.org
He, C., Liu, Z., Gou, S., Zhang, Q., Zhang, J., & Xu, L. (2019). Detecting global urban expansion over the last three decades using a fully convolutional network. Environmental Research Letters, 14(3).https://doi.org/10.1088/1748-9326/aaf936
Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25(3), 295-309.
Qi, J., Chehbouni, A., Huete, A. R., Kerr, Y. H., & Sorooshian, S. (1994). A modified soil adjusted vegetation index. Remote Sensing of Environment, 48(2), 119-126.
Europe PMC
Jin, Y., & He, Y. (2012). Spatio-temporal variability of urban growth patterns in Nanjing, China: A remote sensing-based landscape metrics analysis. Landscape and Urban Planning, 104(2), 209-223.
Khalili, A. Optimal Model Presentation for Urban Smart Growth with Emphasis on Infill Development (Case Study: Urmia City). Master’s Thesis, University of Urmia, Urmia, Iran, 2016
Kawamura, H., Igarashi, T., & Tsuchiya, K. (1992). A new spectral index (UI) to detect urban areas. In Proceedings of the 18th Asian Conference on Remote Sensing (pp. 1199-1206).
Li, J., Fang, W., Wang, T., Qureshi, S., Alatalo, J. M., & Bai, Y. (2017). Correlations between socioeconomic drivers and indicators of urban expansion: Evidence from the heavily urbanised Shanghai metropolitan area, China.
Sustainability (Switzerland),
9(7).
https://doi.org/10.3390/su9071199
Liu, Y., & Wu, J. (2014). Using a modified normalized difference vegetation index (MNDVI) to monitor urban vegetation change in Beijing, China. Remote Sensing of Environment, 148, 137-147.
Liu, X., Li, H., Li, S., & Wang, J. (2019). Landscape pattern analysis of urban green space in Beijing using spatial metrics. Urban Forestry & Urban Greening, 40, 1-10.
Li, X., Zhao, C., Gong, P., & Wang, L. (2015). A new vegetation index, GYRATE, and its application in vegetation cover monitoring in Hulunbuir Grassland, Inner Mongolia, China. Remote Sensing of Environment, 156, 180-190.
McDonnell, M. J., & Pickett, S. T. A. (1990). Ecosystem Structure and Function along Urban-Rural Gradients: An Unexploited Opportunity for Ecology. Ecology, 71(4), 1232–1237.
https://doi.org/10.2307/1938259
Molin, G., Wu, H., & Luo, L. (2011). Estimating rice leaf chlorophyll content using the greenness-yellowness vegetation index (GYRATE). Agricultural Sciences in China, 10(4), 544-551.
Newman, P., & Kenworthy, J. (1999). Sustainability and Cities: Overcoming Automobile Dependence. Island Press.
Mondal, B., Dolui, G., Pramanik, M., Maity, S., Biswas, S. S., & Pal, R. (2017). Urban expansion and wetland shrinkage estimation using a GIS-based model in the East Kolkata Wetland, India.
Ecological Indicators,
83(July), 62–73.
https://doi.org/10.1016/j.ecolind.2017.07.037
Nelson, R. R. (2004). The making of the American economy: Long waves of progress. University of Chicago Press.
Pérez-Hernández, C. G., Zapata-N, M. L., Martínez-López, C. A., & Valdez-Cepeda, R. D. (2018). Evaluating the impact of different climate scenarios on the urban growth and development of the Mexico City Metropolitan Area using SLEUTH model. Urban Climate, 23, 27-47.
Puertas, O. C., García-Ayllón, J. A., & López-Herrera, A. G. (2019). Urban expansion in the Madrid metropolitan area: A spatial analysis approach using landscape metrics. Land Use Policy, 82, 684-697.
Pratibha, P. S.; Priya, M. H.; Duhita, S. D. (2014). Fusion Classification of Multispectral and Panchromatic Image using Improved Decision Tree Algorithm’’, IEEExplore, 978-1-4799-3140-8/14/$31.00 ©2014 IEEE.
Pinelli, F., & Pedreschi, D. (2007). Trajectory Pattern Mining. In KDD'07 (pp. 395-404). ACM.
Rifat, S. A. A., & Liu, W. (2019). Quantifying spatiotemporal patterns and major explanatory factors of urban expansion in Miami Metropolitan Area during 1992–2016.
Remote Sensing,
11(21), 2493.
https://doi.org/10.3390/rs11212493
Rocha, J., Nunes, M., Mendes, L., Sousa, J., Sá, S., & Pereira, P. (2016). A modified red-edge greenness index based on red and red-edge bands for monitoring vegetation vigor. International Journal of Remote Sensing, 37(1), 71-89
Salem, M., Tsurusaki, N., & Divigalpitiya, P. (2019). Analyzing the driving factors causing urban expansion in the peri-urban areas using logistic regression: A case study of the greater Cairo region.
Infrastructures,
4(1), 4.
https://doi.org/10.3390/infrastructures4010004
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012). Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences of the United States of America, 109(40), 16083–16088.
https://doi.org/10.1073/pnas.1211658109
Salvati, L., Bottalico, F., & De Pol, G. (2017). A new entropy-based index for assessing landscape fragmentation. Ecological Indicators, 80, 1-10.
Terfa, B. K., Chen, N., Zhang, X., & Niyogi, D. (2020). Urbanization in small cities and their significant implications on landscape structures: The case in Ethiopia.
Sustainability (Switzerland),
12(3), 1–19.
https://doi.org/10.3390/su12031235
Tucker, C. J., Justice, C. O., Prince, S. D., Kerr, Y. H., & Paltridge, G. W. (1985). Monitoring global land cover from satellite data: A review. International Journal of Remote Sensing, 6(10-11), 1397-1416.
-UN-Habitat. (2016). The New Urban Agenda. United Nations.
Amazon.com
Wang, J., Liu, Y., Li, Z., Sun, Z., & Liang, L. (2020). Spatial patterns and driving factors of urban expansion in the Pearl River Delta region, China, during 1990-2015. Land Use Policy, 97, 104758.
Wang, B., Wen, X., Chen, S., Zhang, H., & Zhao, Y. (2018). Quantifying Land Use/Land Cover and Landscape Pattern Changes and Impacts on Ecosystem Services. Sustainability, 10(5), 1428.
www.researchgate.net
Wegener, K., Nakamoto, K., & Inoue, Y. (1991). A new vegetation index for desert regions. Remote Sensing of Environment, 34(3), 257-264.
Wei, Y., & Wu, R. (1999). A new aggregation pattern for identifying the spatial distribution of urban features in Landsat TM images. Photogrammetric Engineering and Remote Sensing, 65(12), 1443-1449.
Wang, D., Li, X., Chen, Y., Li, Y., & Zhao, J. (2018). Spatiotemporal Variations in Urban Expansion and their Influencing Factors in China. Sustainability, 10(12), 4721.
Yang, Z., Zhang, X., Wu, Y., Li, X., & Jiang, J. (2022). Spatiotemporal analysis of urban expansion intensity and its driving factors in the Pearl River Delta region of China from 1990 to 2020. Land Use Policy, 113, 105916.
Yeh, C.-F., & Li, X. (2001). Measuring spatial patterns of urban sprawl using remote sensing data. Photogrammetric Engineering and Remote Sensing, 67(7), 997-1006.
Zhao, Y., Liu, Y., Wang, Z., Liu, W., & Gao, H. (2018). Landscape metrics for assessing urban expansion in the Yangtze River Delta region, China. Ecological Indicators, 95, 971-983.
Zhang, X., Song, W., & Wang, S. (2014). Enhanced Neighborhood Index (ENI): A New Landscape Pattern Index for Measuring Landscape Connectivity. Landscape Ecology, 29(9), 1555-1562.
Zhang, Z., Tu, Y. J., & Li, X. (2016). Quantifying the spatiotemporal patterns of urbanization along urban-rural gradient with a roadscape transect approach: A case study in Shanghai, China.
Sustainability,
8(9), 862.
https://doi.org/10.3390/su8090862
Zhang, H., Zhang, Y., Wang, C., & Liu, Y. (2018). Monitoring drought dynamics with the modified normalized difference water index (MNDWI) in a changing climate. Water Resources Management, 32(13), 4427-4442.
Zhang, Z., Li, N., Wang, X., Liu, F., & Yang, L. (2016). A comparative study of urban expansion in Beijing, Tianjin and Tangshan from the 1970s to 2013.
Remote Sensing,
8(6).
https://doi.org/10.3390/rs8060496
Zhao, J., Yang, W., Peng, J., Li, C., Li, Z., & Liu, X. (2019). Analyzing and modeling the spatiotemporal dynamics of urban expansion: A case study of Hangzhou city, China.
Journal of Environmental Engineering and Landscape Management,
27(4), 228–241.
https://doi.org/10.3846/jeelm.2019.11561
Zha, Y.; Gao, J.; Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int. J. Remote Sens. 2003, 24, 583–594.
https://doi.org/10.1080/01431160304987
)