Abstract
The research was carried out to measure the shifting of the river and estimate-related effects on land use and land cover (LULC) using Geospatial approaches for the Singimari River between 1978 and 2021. The river Singimari is dynamic because of ongoing sedimentation, which alters the velocity and direction of the river’s flow and causes bank line movement due to ongoing bank erosion. The research has been based on quantifying channel shifting from 1978 to 2021 using 15 cross-sections. Maximum likelihood supervised classification was utilised to identify different LULC classes with greater accuracy. Between 1991 and 2001, the river migrated 1564 metres to the left at cross-section ‘L’. Between 1991 and 2001, 6.72 and 6.92 Km2 of erosion and accretion, respectively, took place. Between 1978 and 2021, positive change was prevalent for the classes of vegetation cover, fallow land and built-up area, while agricultural land and water bodies decreased as the river continuously deposited sediments in the form of various bars. Out of 188 villages of Dinhata-I and Sitai blocks of Cooch Behar district, 51 villages are exposed to channel shifting. The findings indicated that the dynamicity of the Singimari River and concomitant changes in the land use pattern brings new obstacles in front of the rural population of the study area.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arefin, R., Meshram, S. G., & Seker, D. Z. (2021). River channel migration and land-use/land-cover change for Padma River at Bangladesh: A RS-and GIS-based approach. International Journal of Environmental Science and Technology, 18(10), 3109–3126. https://doi.org/10.1007/s13762-020-03063-7
Bhunia, G. S., Shit, P. K., & Pal, D. K. (2016). Channel dynamics associated with land use/land cover changes in Ganges river, India, 1989–2010. Spatial Information Research, 24(4), 437–449.
Chakraborty, K., & Saha, S. (2021). Assessment of bank erosion and its impact on land use and land cover dynamics of Mahananda River basin (Upper) in the Sub-Himalayan North Bengal, India. SN Applied Sciences, 4(1), 1–17. https://doi.org/10.1007/s42452-021-04904-x
Congalton, R. G., & Green, K. (1999). Assessing the accuracy of remotely sensed data principles and practices. Lewis Publishers.
Das, J. D., Dutta, T., & Saraf, A. K. (2007). Remote sensing and GIS application in change detection of the Barak river channel, N.E. India. Journal of the Indian Society of Remote Sensing, 35(4), 301–312. https://doi.org/10.1007/BF02990786
Debnath, J., Pan, N. D., Ahmed, I., & Bhowmik, M. (2017). Channel migration and its impact on land use/land cover using RS and GIS: A study on Khowai River of Tripura, north-East India. The Egyptian Journal of Remote Sensing and Space Science, 20(2), 197–210. https://doi.org/10.1016/j.ejrs.2017.01.009
Dey, S., & Mandal, S. (2019). Assessing channel migration dynamics and vulnerability (1977–2018) of the Torsa River in the Duars and Tal region of eastern Himalayan foothills, West Bengal, India. Spatial Information Research, 27(1), 75–86. https://doi.org/10.1007/s41324-018-0213-z
Dhari, S., Arya, D. S., & Murumkar, A. R. (2015). Application of remote sensing and GIS in sinuosity and river shifting analysis of the Ganges River in Uttarakhand plains. Applied Geomatics, 7(1), 13–21. https://doi.org/10.1007/s12518-014-0147-7
Friend, P. F., & Sinha, R. S. (1993). Braiding and meandering parameters. Geological Society Special Publications, 75, 105–111. https://doi.org/10.1144/GSL.SP.1993.075.01.05
Guchhait, S. K., Islam, A., Ghosh, A., Das, B. C., & Maji, N. K. (2016). Role of hydrological regime and floodplain sediments in channel instability of the Bhagirathi River, ganga-Brahmaputra Delta, India. Physical Geography, 37(6), 476–510. https://doi.org/10.1080/02723646.2016.1230986
Jana, S. (2021). An automated approach in estimation and prediction of riverbank shifting for flood-prone middle-lower course of the Subarnarekha river, India. International Journal of River Basin Management, 19(3), 359–377. https://doi.org/10.1080/15715124.2019.1695259
Lillesand, R. M., & Kiefer, R. W. (2000). Remote sensing and image interpretation (4th ed.). Wiley.
Mondal, J., & Mandal, S. (2018). Monitoring changing course of the river ganga and land-use dynamicity in Manikchak Diara of Malda district, West Bengal, India, using geospatial tools. Spatial Information Research, 26(6), 691–704. https://doi.org/10.1007/s41324-018-0210-2
Mukherjee, K., & Pal, S. (2018). Channel migration zone mapping of the river ganga in the Diara surrounding region of eastern India. Environment, Development and Sustainability, 20(5), 2181–2203. https://doi.org/10.1007/s10668-017-9984-y
Mukherjee, R., Bilas, R., Biswas, S. S., & Pal, R. (2017). Bank erosion and accretion dynamics explored by GIS techniques in lower Ramganga river, Western Uttar Pradesh, India. Spatial Information Research, 25(1), 23–38. https://doi.org/10.1007/s41324-016-0074-2
Ophra, S. J., Begum, S., Islam, R., et al. (2018). Assessment of bank erosion and channel shifting of Padma River in Bangladesh using RS and GIS techniques. Spatial Information Research, 26, 599–605. https://doi.org/10.1007/s41324-018-0202-2
Rapp, C. F., & Abbe, T. B. (2003). A framework for delineating channel migration zones. Washington State Department of Ecology Washington State Department of Transportation. http://www.ecy.wa.gov/bibli o/0306027.html
Rwanga, S. S., & Ndambuki, J. M. (2017). Accuracy assessment of land use/land cover classification using remote sensing and GIS. International Journal of Geosciences, 8(04), 611. https://doi.org/10.4236/ijg.2017.84033
Sahoo, S., Dhar, A., Kayet, N., & Kar, A. (2017). Detecting water stress scenario by land use/land cover changes in an agricultural command area. Spatial Information Research, 25(1), 11–21. https://doi.org/10.1007/s41324-016-0073-3
Sinha, R., & Ghosh, S. (2012). Understanding dynamics of large rivers aided by satellite remote sensing: A case study from lower ganga plains, India. Geocarto International, 27(3), 207–219.
Story, M., & Congalton, R. G. (1986). Accuracy assessment: A user's perspective. Photogrammetric Engineering and Remote Sensing, 52(3), 397–399.
Sun, F., Sun, W., Chen, J., & Gong, P. (2012). Comparison and improvement of methods for identifying waterbodies in remotely sensed imagery. International Journal of Remote Sensing, 33(21), 6854–6875. https://doi.org/10.1080/01431161.2012.692829
Thakur, P. K., Laha, C., & Aggarwal, S. P. (2012). River bank erosion hazard study of river ganga, upstream of Farakka barrage using remote sensing and GIS. Natural Hazards, 61(3), 967–987. https://doi.org/10.1007/s11069-011-9944-z
Wang, S. Y., Liu, J. S., & Ma, T. B. (2010). Dynamics and changes in spatial patterns of land use in Yellow River Basin, China. Land Use Policy, 27(2), 313–323. https://doi.org/10.1016/j.landusepol.2009.04.002
Xu, H. (2006). Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, 27(14), 3025–3033. https://doi.org/10.1080/01431160600589179
Yang, X., Damen, M. C. J., & Zuidam, R. A. (1999). Satellite remote sensing and GIS for the analysis of channel migration changes in the active Yellow River Delta, China. International Journal of Applied Earth Observation and Geoinformation, 1(2), 146–157. https://doi.org/10.1016/S0303-2434(99)85007-7
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Roy, K., Saha, P., Das, S., Mandal, M., Gayen, S.K. (2023). Monitoring the Shifting Nature of River Singimari and its Impact on Riverside Land Use and Landcover in Dinhata-I and Sitai Blocks of Cooch Behar District, West Bengal, India. In: Sahu, A.S., Das Chatterjee, N. (eds) Environmental Management and Sustainability in India. Springer, Cham. https://doi.org/10.1007/978-3-031-31399-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-031-31399-8_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-31398-1
Online ISBN: 978-3-031-31399-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)