VW Applied Sciences, Volume: 3, Issue: 1, 104-109
Received: June 15, 2021
Accepted: July 20, 2021
Published online: July 29, 2021
Prajwol KC 1, Amit Tiwari 1, Ashish Dutta 1, Pradeep Gywali2*, Kutubuddin Ansari3
1 Department of Geomatics Engineering, Kathmandu University, Dhulikhel, Nepal
2Survey Officer, Tulsipur Submetropolitan city, Dang, Nepal
3Integrated Geoinformation (IntGeo) Solution Private Limited, New Delhi, 110025, India
*Corresponding author: pradeep2gywali@gmail.com
Abstract: River channel migration involves the lateral migration of an alluvial river channel across its floodplain which is mainly driven either by bank erosion or point bar deposition over time. It is the study of major rivers of Tulipa Sub-Metropolitan City using remote sensing images over the span of 11 years (2010-2020). The river channel migration directly affects land use, and it has also a direct effect on the settlements lying on the plain area near the riverside. Cultivating sugarcane in the sand area is one of the mitigating measures to control floods and prevent erosion of banks. This paper presents an enhanced change detection method of river channel migration using remote sensing images and identification of sand areas using classification and interpretation techniques.
Keywords: GIS, LULC, UTM, Supervised Classification, LANDSAT, River Channel Migration,