Dr. A.C. PANDEY
I am basically a teacher and researcher driven by students will to work in areas related to earth science and remote sensing. I like working in the Himalayas which began since I took Ph.D. research in Garhwal Himalayas from University of Delhi, in 1993, focusing on aspects of landslides. My current research interest areas include satellite based glacier mapping in Great Himalayas, J&K (India) and in Nepal Himalayas, Waterlogging assessment in Eastern Gangetic plains and Urban environmental studies in Plateau setting (Ranchi) and landslide Hazard Modeling in Garhwal Himalayas. My other research areas where I am currently guiding seven Ph.D. students include Arsenic studies in ground water of Eastern Gangetic plains, Fluoride in ground water in Hard rock terrains(Jharkhand state), drought and climate change studies in Jharkhand, Climate change impacts on Lake Environment (J&K) and Environmental hazards in Coal mining area.
I have 40 publications to my credit with 18
international publications in journal of high repute. I edited one book on
“Geoinformatics in Decentralized Planning” and authored an Atlas on “Resources
in Haryana state”. I am currently engaged with National projects from DST, UGC,
MOEF and ISRO covering aspects on glaciology, flood risk, waterlogging and
groundwater mapping etc.
ABOUT OUR RESEARCH
COMPARATIVE ASSESSMENT OF GLACIER RESPONSE TO CLIMATE CHANGE IN PARTS OF WESTERN AND NEPAL HIMALAYA WITH FOCUS ON GLACIER HEALTH
Our research focuses on the following aspects of glacier health:
Glaciers in the eastern and central regions of the Himalayas are retreating at a very fast rate comparable to the glaciers in other parts of the world. The present research proposes to investigate the fact whether the glaciers of the Western Himalayas are showing the same trend or are indeed more stable and even increasing in size. This objective is to be achieved though spatio-temporal glacier health monitoring of selected glaciers from both Western and Nepal (Central) Himalayas and their comparison. As is popularly believed glaciers are an important indicator of climate change, hence any changes in climate are most likely to affect the health of the glaciers. All glaciers respond to signals of climate change either by decreasing or increasing their total mass; changes in mass eventually reflect in the changes of the glacier area and the position of the glacier terminus i.e in its retreat or advance. Relating glacier changes to climate variability and their impact underlines the need for long-term observations and measurements on mass budget, glacier dimensions, meteorological parameters and stream discharge data.
In addition to this, debris coverage
has been identified to be an important contributor to glacial advance and
retreat behaviors for the Himalayan Glaciers. Hence
in the present proposed study, while monitoring the glacier health, an emphasis
has been laid on debris cover mapping using High resolution satellite data.
Recent field studies over select glaciers in Great Himalayan Range (J&K) revealed formation of deep longitudinal and transverse crevasses in glaciers which resulted in topographic changes over glacier surface. Therefore the study also focuses on crevasse development and detection of other morphological changes in glaciers using high resolution satellite images and DEM differencing technique.
the proposed research seeks to investigate the relationship between temporal
changes over glaciers (snout position/area changes) and the resulting sediment
discharge and run-off together with meteorological variability. The study would
finally relate to impact assessment of glacier response to climate change in
Nepal Himalayas with reference to floods in the Gangetic Plains.
The present project is envisaged with the following major objectives:
1. To make a comparative study with reference to temporal snout retreat/advancement and glacier area change in a part of Zanskar Valley, (Western Himalaya, J&K, India) and Dudh Kosi, Nepal Himalayas.
2. To perform glacier domain mapping with emphasis on debris cover using high resolution satellite data and digital image processing techniques.
3. To employ high resolution data for mapping indicators of glacier health with focus on crevasse development in select glaciers
4.Morphological change detection using DEM Differencing technique.