PhD in Geographic Information Systems
Rapid advancements in Geographic Information Systems and Global Positioning Systems have made it possible to correlate and use map information from diverse sources, in tandem, at the click of a mouse. There is a strong need now to develop the science of GIS, so that advancements in geospatial technologies can help organisations compete in national and international markets. Although routine GIS applications are managed by GIS analysts, research-based products cannot be addressed until PhD level candidates are inducted into the private/public GIS sectors.
NIIT University’s (NU) Doctor of Philosophy programme in Geographic Information Systems programme aims to nurture researchers capable of advancing the frontiers of knowledge in geospatial information sciences. Through improved theories, new technologies, innovative methodologies, sophisticated quantitative analyses, and integrative applications, the PhD in GIS programme aims to foster advanced thinking and problem solving among researchers. The goal is to build competent doctoral scholars with an ability to perform advanced quantitative analysis in spatial modelling, spatial computing and remote sensing.
Areas of Research
- Modelling areas at risk of deforestation
- Estimating carbon stocks, emissions and probable benefits from REDD+
A recent controversy about the rate of vanishing Himalayan glaciers due to an erroneous statement in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report, has shown major gaps in the knowledge about the behaviour of the Himalayan glaciers. There is a lack of information about long-term glacier changes and climate change in the Garhwal Himalayas. Field surveys are difficult to conduct due to complex terrain and harsh weather conditions. Thanks to the availability of remotely sensed and climate datasets, it is now possible to analyse large data-sparse glacier basins.
The focus of NU’s PhD GIS programme is to estimate the glacier changes in Garhwal Himalayas during the last five decades as a consequence of regional climatic changes using remote sensing and GIS methods. The objectives of the ongoing research are sixfold:
- To define knowledge-based parameters which affect glacier formation and melting such as accumulation area, ablation area, slope, snow line altitude, total area, mass balance, etc.
- To develop knowledge-based glacier mapping techniques, which can utilise the visible, shortwave and thermal infrared data with topographic parameters
- To quantify spatio-temporal patterns of glacier changes in the Garhwal Himalayas in the past decades using a developed knowledge-based approach
- To derive mass change of glaciers using remote sensing geodetic method using multi-temporal DEMs
- To estimate the ice thickness distribution and volume of Gangotri glacier using Artificial Neural Networks
- To forecast the glacier status of Garhwal Himalayas with the help of a developed knowledgebase