تحلیل آثار گسترش افقی شهری بر رواناب و سیلاب با رویکرد مدیریت پایدار شهری (مطالعة موردی: شهر اهواز)

Tahmasebi, Ghobad; Mohammadi, Alireza; and Bochani, Mohammad Hossein (2021). Spatial analysis of factors influencing flood occurrence in Ilam city. Journal of Land Use Planning, 13(1), 21–56. (in Persian)

Abass, K., Buor, D., Afriyie, K., Dumedah, G., Segbefi, A. Y., Guodaar, L., Garsonu, E. K., Adu-Gyamfi, S., Forkuor, D., & Ofosu, A. (2020). Urban sprawl and green space depletion: Implications for flood incidence in Kumasi, Ghana. International Journal of Disaster Risk Reduction, 51, 101915.

Biney, E. & Boakye, E. (2021). Urban sprawl and its impact on land use land cover dynamics of Sekondi-Takoradi metropolitan assembly, Ghana. Environmental Challenges, 4, 100168.

Brueckner, J. K.  (2000). Urban sprawl: Diagnosis and remedies. International regional science review, 23(2), 160-171.

Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1), 37-46.

Devi, N. N., Sridharan, B., & Kuiry, S. N. (2019). Impact of urban sprawl on future flooding in Chennai city, India. Journal of Hydrology, 574, 486-496.

Ding, Y., Jia, L., Wang, C., & Wang, P. (2024). Urban sprawl and its effects on water competition between building industry and residents: Evidence from 31 provinces in China. Water-Energy Nexus, 7, 26-38.

Estoque, R. C. & Murayama, Y. (2015). Classification and change detection of built-up lands from Landsat-7 ETM+ and Landsat-8 OLI/TIRS imageries: A comparative assessment of various spectral indices. Ecological indicators, 56, 205-217.

Franci, F., Mandanici, E., & Bitelli, G. (2015). Remote sensing analysis for flood risk management in urban sprawl contexts. Geomatics, Natural Hazards and Risk, 6(5-7), 583-599.

Hatab, A. A., Cavinato, M. E. R., Lindemer, A., & Lagerkvist, C.-J. (2019). Urban sprawl, food security and agricultural systems in developing countries: A systematic review of the literature. Cities, 94, 129-142.

Hislop, S., Jones, S., Soto-Berelov, M., Skidmore, A., Haywood, A., & Nguyen, T. H. (2018). Using landsat spectral indices in time-series to assess wildfire disturbance and recovery. Remote Sensing, 10(3), 460.

Idowu, D. & Zhou, W. (2023). Global Megacities and Frequent Floods: Correlation between Urban Expansion Patterns and Urban Flood Hazards. Sustainability, 15(3), 2514.

Jacobson, C. R. (2011). Identification and quantification of the hydrological impacts of imperviousness in urban catchments: A review. Journal of environmental management, 92(6), 1438-1448.

Javed, A., Cheng, Q., Peng, H., Altan, O., Li, Y., Ara, I., Huq, E., Ali, Y., & Saleem, N. (2021). Review of spectral indices for urban remote sensing. Photogrammetric Engineering & Remote Sensing, 87(7), 513-524.

Karvonen, A. (2011). Politics of urban runoff: nature, technology, and the sustainable city. MIT Press.

Mesvari, M. & Shah-Hoseini, R. (2024). Detection and segmentation of flood-affected areas using satellite images and deep learning methods. Irrigation and Water Engineering, 14(3), 342-357.

Mesvari, M. & Shah-Hosseini, R. (2023). Flood Detection Based on UNet++ Segmentation Method Using Sentinel-1 Satellite Imagery. Earth Observation and Geomatics Engineering, 7(1).

Moharrami, M., Javanbakht, M., & Attarchi, S. (2021). Automatic flood detection using sentinel-1 images on the google earth engine. Environmental monitoring and assessment, 193(5), 248.

Pekel, J.-F., Cottam, A., Gorelick, N., & Belward, A. S. (2016). High-resolution mapping of global surface water and its long-term changes. nature, 540(7633), 418-422.

Phiri, D., Simwanda, M., Salekin, S., Nyirenda, V. R., Murayama, Y., & Ranagalage, M. (2020). Sentinel-2 data for land cover/use mapping: A review. Remote Sensing, 12(14), 2291.

Powers, D. M. (2020). Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation. arXiv preprint arXiv:2010.16061.

Putatunda, S. & Rama, K.  (2018). A comparative analysis of hyperopt as against other approaches for hyper-parameter optimization of XGBoost. Proceedings of the 2018 international conference on signal processing and machine learning.

Senthilnath, J., Shenoy, H. V., Rajendra, R., Omkar, S., Mani, V., & Diwakar, P. (2013). Integration of speckle de-noising and image segmentation using Synthetic Aperture Radar image for flood extent extraction. Journal of earth system science, 122, 559-572.

Stamellou, E., Kalogeropoulos, K., Stathopoulos, N., Tsesmelis, D. E., Louka, P., Apostolidis, V., & Tsatsaris, A. (2021). A GIS-cellular automata-based model for coupling urban sprawl and flood susceptibility assessment. Hydrology, 8(4), 159.

Stolzenberg, R. M. (2004). Multiple regression analysis. Handbook of data analysis, 165-208.

Tahmasebi, Gh., Mohammadi, A., & Bochani (2021). Spatial Analysis of Factors Influencing Flood Occurrence in Ilam City. Scientific Journal, 13(1), 21-56. (in Persian)

Unwin, D. (2019). Integration through overlay analysis. In Spatial analytical perspectives on GIS (pp. 127-138). Routledge.

Unwin, D. J. (1996). GIS, spatial analysis and spatial statistics. Progress in Human Geography, 20(4), 540-551.

Wei, Y. D. & Ewing, R. (2018). Urban expansion, sprawl and inequality. In Elsevier, Vol. 177, 259-265.

Xu, X., Xu, S., Jin, L., & Song, E.  (2011). Characteristic analysis of Otsu threshold and its applications. Pattern recognition letters, 32(7), 956-961.