GEOGRAPHER SPECIALIZING IN REMOTE SENSING, GIS AND GEOMORPHOLOGY

I am a physical geographer interested in formulating and developing Image processing algorithms and integrating them with GIS tools for improved interpretation and understanding of processes that control and contribute to Earth surface systems. Satellite remote sensing and geographic information systems form a synergistic system that is particularly well suited to the examination of physical and cultural landscape conditions through the interrelationships of scale, pattern, and process, a paradigm that has gained prominence in the fields of Geography and landscape ecology.

My current dissertation is involved with detecting, measuring and monitoring hydrological responses of a natural system and sediment analysis using both remote sensing techniques and field study, thereby analyzing morphometry and migration of channel network and sediment erosion. My project involves LiDAR data cleaning, analysis and interpretation, Aerial photo and historical map registration and analysis to create the data for time series analysis, Soft-copy photogrammetric analysis to create  DEMs from stereo photos, morphometry analysis of surface water system and sediment budget analysis.

Moreover I have done some hydrological modeling in ArcGIS and Geo-HECRAS which includes code generation for a rainfall-runoff model.

In my Master’s thesis I have worked on physical principles of Remote Sensing and GIS. While I was working on my MS thesis titled “Application of Fourier filtering in Digital Image Processing” I got really interested on the application of these principal on real time data and integrating them for better understanding of landform and features.

I have a brief one year corporate work experience as GIS trainee in Effluent Water treatment corporation, India. My basic responsibility in that organization was to digitize tube wells and add ground water data as attributes. After that I used to interpolate a surface from the groundwater level data and thereby predicted the flow rate and direction for the ground water in the region. This project also had a byproduct of detecting arsenic affected zones and thereby quarantined those zones from drinking water resources.

In Summer 2008 and 2009, I worked as summer intern in Richland County geographic information division. Here I developed an algorithm on object based digital image classification for the classification of high resolution digital aerial photographs in Richland County South Carolina, using eCognition Software.

I have been working as Instructor for two classes in Department of Geography, University of South Carolina. 1) Geog 345: Interpretation of aerial photographs which is an introductory honors class for Remote Sensing and Aerial Photogrammetry and Interpretation. 2) Geog 103: Introduction to Geography which is an introductory undergraduate class for physical, Human and Technical Geography.

I am well versed in image processing techniques and GIS tools and have basic experience in writing codes in Visual Basic and C⁺⁺. I hope that these soft-core knowledge tied with hardcore field study will give me enough confidence and fuel to expertise in the field of Remote Sensing, GIS and Fluvial Geomorphology