Abstract
Landforms are the core concept of geomorphology. The definition of landforms, their characterization and classification are the core subject of geomorphology. But all these become complex when it seems to difficult to identify the landforms, especially when the area is plain land and highly modified by human activities. This paper has examined the characters of the landforms of the middle basin of the Ichamati river, the important distributary in the district of North 24 Parganas, India. It has been primarily taken an attempt to classify the landforms with the help of the satellite image, IRS P6 LISS II and LISS III. The DEM is not enough to identify the micro scale landform. To overcome this difficulty a series of field works have been conducted (2002, 2004, 2012 and 2015). The landforms have been classified according to second order derivative (Wood, 1996) method. Then ANOVA test has been applied to justify the classification. The F-statistics have indicated the effort is satisfying. The changing character of different landforms denote the river is going to be deteriorating from downstream to upward.
Highlights
Geomorphology is concerned with the mesoscale landforms (Thorn 1978) and these landforms are unexplainable in respect of human lifetime (Chorley et al 1984; Thorn, 1978)
An explanation for the classification of the landforms in the highly modified by human activities in the low relief deltaic region is proposed
Flood plain genetically converted from point bar and the point bars are attached to the flood plain on the convex bank and gradually extend toward the concave bank
Summary
As a secondary data source the author has taken the help of several types of maps, i.e. topo-sheets (1:50000), police station (P.S.) maps (1:63360), block maps (1:50000), Calcutta plate 33 (1:100000), C.D.S. Maps (1:63360, 16 inches: 1 mile), satellite imagery, district planning maps. Maps (1:63360, 16 inches: 1 mile), satellite imagery, district planning maps These maps are not capable to capture the micro features of the study area. Being baffled to prominently classify the micro-level landform, a series of detail and intense (area basis) field works were conducted in 2002, 2004, 2012 and 2015. Beside the field surveys I have (the author) extracted the landuse data from the IRS P6 LISS II and LISS III. The spatial resolution is suitable for 1:50000 because landuse relates to the human activities associated with a specific piece of land, features present on the earth’s surface (Lillesand and Kiefer 1987)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Indian Journal of Power and River Valley Development
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
