Associate Professor, Department of Geograph, Kamla Nehru Institute of Physical & Social Sciences, Sultanpur, 228114, Uttar Pradesh
Online published on 15 March, 2019.
The present study is an attempt to investigate hydogeomorphological conditions for delineating and mapping of hydrogeomorphological landforms in Sultanpur and Amethi district, Uttar Pradesh using Remote Sensing (RS) and Geographic Information System (GIS). Landsat 7 ETM+ satellite data of the year 2015 was processed in Arc GIS 9.3 and ERDAS Imagine 9.1 packages appling systematic visual image processing approach. The data field checks and training data collected through field survey were incorporated in satellite image processing. The various hydrogeomorphological landforms in the study area were identified and mapped in the study area i.e., Younger alluvial plain, Older alluvial plain, Gullied/Ravinous area, Back swamp, Bank bar, Old meander, Oxbow lake and Palaeochannel. Three type of ground water prospects zones (Excellent, very good to good and good to moderated) were also identified on the basis of geomorphological landforms. This study demonstrats that the validated remote Sensing data and GIS techniques are efficient and adequate tools for hydrogeomorphological mapping and ground water evaluation. The delineated hydrogeomorphological landforms can be utilized for evaluation and management of land and water for sustainable development in the study area.
Hydrogeomorphological Landforms, Remote Sensing, Geographic Information System, Arc GIS 9.3, ERDAS Imagine 9.2, Systematic Visual Image Processing Approach