Open Access
| Issue |
EPJ Web Conf.
Volume 370, 2026
International Conference on Advanced Physics: Innovations for a Sustainable Future (IEMPHYS-26)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 17 | |
| DOI | https://doi.org/10.1051/epjconf/202637001013 | |
| Published online | 29 May 2026 | |
- Babykalpana, Y., &Thanushkodi, K. 2010. Classification of LULC Change Detection using Remotely Sensed Data for Coimbatore City, Tamilnadu, India. arXiv preprint arXiv:1005.4216. [Google Scholar]
- Jacintha, T., Rajasree, S. R., Kumar, J. D., &Sriganesh, J. 2019.Assessment of wetland change dynamics of Chennai coast, Tamil Nadu, India, using satellite remote sensing. Indian Journal of Geo Marine Sciences, 48 (8), 1258-1266 [Google Scholar]
- Li, X.2015.Impact of decreased wetlands on micro climate of Kolkata, India (Master'sthesis, Auburn University). [Google Scholar]
- Mondal, B., Dolui, G., Pramanik, M., Maity, S., Biswas, S. S., &Pal, R. 2017. Urban expansion and wetland shrink age estimation using a GIS-based model inthe East Kolkata Wetland, India. Ecological indicators, 83, 62-73. [Google Scholar]
- Mondal, I., Bandyopadhyay, J., Hossain, S. A., Altuwaijri, H. A., Roy, S. K., Akhter, J., … &Juliev, M. 2025. Evaluating the effects of rapid urbanization on the encroachment of the east Kolkata Wetland ecosystem: a remote sensing and hybrid machine learning approach. Environment, Development and Sustainability, 27 (6), 14781-14813. [Google Scholar]
- Rahaman, S., Kumar, P., Chen, R., Meadows, M.E., &Singh, R.B.2020.Remote sensing assessment of the impact of land use and land cover change on the environment of Barddhaman district, West Bengal, India. Frontiers in Environmental Science, ., 127. [Google Scholar]
- Sannigrahi, S., Pilla, F., Zhang, Q., Chakraborti, S., Wang, Y., Basu, B., …&Singh, L. K. 2021. Examining the effects of green revolution ledagricultural expansion on net ecosystem service values in India using multiple valuation approaches. Journal of Environmental Management, 277, 111381. [Google Scholar]
- Tendurus, M., Baydin, A. G., Eleveld, M.A., &Gilbert, A. J. 2013. City versus wetl and: Predicting urban growth in the Vech tare awithacellular automato nmodel. arXiv preprint arXiv:1304.1609. [Google Scholar]
- Weng, Q. 2001. A remote sensing? GIS evaluation of urban expansion and its impact on surface temperaturein the Zhujiang Delta, China. International journal of remote sensing, 22 (10), 1999-2014. [Google Scholar]
- Yadav, G., Gupta, R. K., Gupta, A., Srivastava, A., &Mandal, N. G. 2025. The impact of urban izati on onwetl and ecology in Delhi using AWEI and GIS. Ecology, .(3), 28-41 [Google Scholar]
- Banerjee, S., &Dey, D. 2017. Eco-system complementarities and urban encroachment: ASWOT analysis of the East Kolkata Wetlands, India. Cities and the Environment (CATE), 10 (1), 2. [Google Scholar]
- Yao, Y., Liu, X., Zhang, D., Liang, Z., &Zhang, Y. 2017. Simulation of Urban Expansion and Farmland Loss in China by Integrating Cellular Automata and Random Forest. arXiv preprint arXiv:1705.05651. [Google Scholar]
- Mondal, B.K., Kumari, S., Ghosh, A., &Mishra, P.K.2022.Transformation and risk assessment of the East Kolkata Wetlands (India) using fuzzy MCDM method and geospatial technology. Geography and Sustainability, .(3), 191-203. [Google Scholar]
- Chaturvedi, G., &Avishek, K. 2025. Trend analysis of the indicators of urban wetland changes and its implications using geospatial indices and statistical analysis. Environmental and Sustainability Indicators, 26, 100659. [Google Scholar]
- Ghosh, S., &Das, A.2019. Urban expansi on induced vulnerability assessment of East Kolkata Wetland using FuzzyMCDM method. Remote SensingApplications: Society and Environment, 13, 191-203. [Google Scholar]
- Singh, L., &Katpatal, Y. B. 2018. Wetland change analysis and their impact on dense vegetation by spatial approach. Journal of Urban and Environmental Engineering, 12 (1), 70-76. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

