Abstract
Landsat ETM+ data and SRTM DEM data were used to delineate the geological, structural and geomorphological features in the intermontane Imphal Valley in Manipur, India. This area has simple geology, structural features and there- fore provides an ideal site to test the utility of remote sensing and GIS techniques in geological studies. The various techniques such as band ratioing, Principal Component Analysis (PCA) and generation of FCC (False Colour Composite) were employed on ETM+ data. The SRTM DEM data is used in generating the west-east transects of altitude pro- files in the valley for characterization of altitude levels of the litho-units. DEM derived drainage network and relative drainage density in the basin were used in interpreting the location of fault plane in the valley. The slope and lineament maps were prepared using SRTM DEM. It suggests that entire valley is covered by very low slope (0? - 9?). Lineaments are oriented N-S, 180? while in south-east of valley the direction is largely NW-SE. The change in lineament direction suggests that the eastern side of the valley is controlled by Indonesian Island arc strike direction.
Highlights
In geological studies of covering large areas, recognizing the discontinuities and determining the relationship between them is very important for regional planning and resource managements
The data source for this study is the subset of the Imphal Valley region of the Landsat ETM+ of October, 2000 with path 135 and row 43 acquired from Global Land Cover Facility (GCLF), University of Maryland, USA website, http://glcf.umiacs.umd. edu/index.shtml
The south-eastern part of the valley indicated a swing in the direction of lineaments direction and they follow the northern prolongation direction of the Indonesian Island, which has a westward convexity
Summary
In geological studies of covering large areas, recognizing the discontinuities and determining the relationship between them is very important for regional planning and resource managements. Remote Sensing (RS) and Geographical Information System (GIS) techniques are used for this purpose in various studies. Remote sensing is a technique of obtaining information about objects through the analysis of the data collected by special instruments that are not in physical contact with the objects of investigation [1,2]. GIS is a powerful set of tools for collecting, storing, retrieving, analyzing, integrating and displaying spatial data from the real world for a particular set of purposes [3,4,5]. It is possible to obtain data about an area at faster rate by using Remote Sensing and storing the data and analyzing those using statistical and mathematical criteria with the help of GIS. As a result of the technological developments there have been some radical changes in the technology for preparation of geological and geomorphological maps through time and in the last twenty years
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