Integration of RS-GIS with Frequency Ratio, Fuzzy Logic, Logistic Regression and Decision Tree Models for Flood Susceptibility Prediction in Lower Gangetic Plain: A Study on Malda District of West Bengal, India-Reference-Cited by-同舟云学术

Integration of RS-GIS with Frequency Ratio, Fuzzy Logic, Logistic Regression and Decision Tree Models for Flood Susceptibility Prediction in Lower Gangetic Plain: A Study on Malda District of West Bengal, India

Published:2022-05-19 Issue:9 Volume:50 Page:1725-1745
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Ghosh Abhishek^ORCID,Dey Priyanka,Ghosh Tirthankar

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s12524-022-01560-5.pdf

Reference42 articles.

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2. Ali, S. A., Khatun, R., Ahmad, A., & Ahmad, S. N. (2019). Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban region, India. Modeling Earth Systems and Environment. https://doi.org/10.1007/s40808-019-00593-z

3. Arora, A., Pandey, M., Siddiqui, M. A., Hong, H., & Mishra, V. N. (2019). Spatial flood susceptibility prediction in Middle Ganga Plain: Comparison of frequency ratio and Shannon’s entropy models. Geocarto International. https://doi.org/10.1080/10106049.2019.1687594

4. Bandyopadhyay, S., Ghosh, P. K., Jana, N. C., & Sinha, S. (2015). Probability of flooding and vulnerability assessment in the Ajay River, Eastern India: Implications for mitigation. Environment and Earth Science, 75, 578. https://doi.org/10.1007/s12665-016-5297-y

5. Basu, T., & Pal, S. (2017). Identification of landslide susceptibility zones in Gish River basin, West Bengal, India. Georisk, 12(1), 14–28.

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