Key Projects at a Glance
GIS Development Staff
Drought:
Improvement in Agricultural Drought Monitoring using IRS WiFS
Study Area: AndhraPradesh
Data used: IRS 1C, (WiFS), NOAA,AVHRR
Outcomes: Methodology indicates improved drought monitoring using IRS WiFS data and NOAA (National Oceanic Atmospheric Administration) satellite’s AVHRR (Advanced Very High Resolution Radiometer) data
Research Team(s): A. T. Jeyaseelan, A. V. Suresh Babu, K. Chandrashekhar, Water Resource Group, NRSA, Hyderabad
Selection of Artificial Recharge Sites of Groundwater using IRS data -A Mitigation Approach of Drought
Study Area: Sali river basin (Upper catchment area), Bankura district, W. Bengal
Data used: IRS data
Outcomes: Study indicates topographic lows with impermeable subsurface material are suitable sites for water storage
Research Team(s): D. Das, F. Khan, A. Ata, Dept. of Ecological studies, University of Kalyani, W. B.
Application of Remote Sensing in Hydrogeology to combat Environmental Hazards
Study Area: Kundra micro watershed, Hirakud canal
command & Nawapara, Orissa
Data used: IRS LISS-II data, FCC image of bands 2,3,4
Outcomes: Use of RS data analysis, GIS, hydrogeological studies provide suitable data base for multi-geodata analysis
Research Team(s): S. Das, S. C. Behra, D. P. Pati, CGWB, Bhubaneshwar
GIS reveals Groundwater under stress in parts of Udaipur District of Rajasthan, India
Study Area: Gogunda, Jharol and Kotra, Udaipur district, Rajasthan
Data used: Fluctuation of water table, monsoon rainfall data
Outcomes: Hydrogeological Zonation/identification of ground water potential zones
Research Team(s): C. Bhuiyan, Sri Niwas, Dept of Earth Sciences, University of Roorkee, Roorkee and P. K. Champati Ray, IIRS, Dehradun
Earthquake:
Planning New Lifeline as a Mitigation Measure for Seismic-prone area using GIS
Study Area: Haridwar, U.P.
Data used: Not mentioned
Outcomes: A route choice methodology has been developed through cost zones to minimize the development costs for the route or cost to the community or both
Research Team(s): S. Maithani, B. S. Sokhi, IIRS, Dehradun
Lineament Mapping and Evaluation of Seismic Risk
Study Area: Jabalpur and Mandla district, M. P.
Data used: IRS-1B LISS-I data
Outcomes: Clues to separate active tectonic zones/geo-dynamic evolution of the area
Research Team(s): D. B. Patel, TCS, Chandigarh and K. Dutta, R. P. Singh, Dept. of Civil Engineering, IIT Kanpur
A Remote Sensing Perspective of Killari Earthquake
Study Area: Killari village, Latur, Maharashtra
Data used: Remote sensing data and field survey
Outcomes: Lineament Map shows smoke emanated villages of Medak and Nizamabad district of A. P., helpful for further study
Research Team(s): S. V. B. K. Bhagavan, A. N. Rao, V. Raghu, K. S. S. Prasad, A. P. state Remote Sensing Application Centre, APSRAC, Hyderabad
Application of GIS for Regional Earthquake Loss Estimation
Study Area: General Study
Data used: Digital GIS database
Outcomes: Integration of components of seismic risk assessment / introducing GIS as a powerful tool to display outputs and permits users to ‘see’ the impacts from different earthquake scenariosand assumptions
Research Team(s): P. Johari, Risk Management Softwares India, New Delhi
Flash Flood
Flash Flood Hazard Zonation in Himalayan Perspective
Study Area: Andhra Gad Catchment (Pabar river basin), Chirgaon, H. P.
Data used: IRS data (IRS-1C LISS-III, 1997)
Outcomes: This integrated approach for flash flood prediction can be applied to other Himalayan regions with certain modifications
Research Team(s): Atul Sahai, Sanjeev Sharma, Pan India consultant, Gurgaon , L. K. Sinha, DTRL, Delhi
Floods
Flood Risk Zone Mapping and Flood Damage Assessment using Remote Sensing and GIS Techniques
Study Area: Sisapathar gauge site, River Dikr, Assam
Data used: IRS-1B LISS-II data of 14 February 1995.
Outcomes: Assessment of flood damage or type of landuse inundated in floods was done by preparing rating curves between flood gauge and flood discharge at gauge site and crossing Landuse map with flood maps of different return periods
Research Team(s): P. L. N. Raju, K. H. V. Durga Rao, IIRS, Dehradun, P. Sharma, AEE Bramhaputra Board, Assam
Flood Inundation Mapping using Satellite Data
Study Area: Phulbari Area, Meghalaya
Data used: IRS-1A and 1B data, 1:50,000 False Colour Composite
Outcomes: Analysis for pre and post monsoon periods of 1998 indicates an alarming rate of increase in inundation in the area as Bramhaputra is encroaching more and more land areas by extensively migrating its bank line which in turn results in severe drainage congestion
Research Team(s): V. S. Jeyakanthan, B. C. Patwary, National Institute of Hydrology, NERC, Dispur, Guwahati, Assam
Impact of floods on Land Resource Utilization
Study Area: Lower Rapti-Saryu Doab, U.P.
Data used: Block level land use data for 1976 and 1996
Outcomes: Increase of net sown and double cropped area in relation to low, medium, high and very high flood hazard zones
Research Team(s): J. P. Singh, Indian Grassland and Fodder Research Institute, Jhansi
Floods of 1998 in N. E. India : A Study of Geo-climatic Perspective
Study Area: Central Assam
Data used: Geomorphic and climatic data
Outcomes: Digital Terrain Modeling for a sample zone states that rainfall and geomorphic condition are responsible for recent flood hazards in the valley
Research Team(s): N. K. Mahanta, T. Nath, M. Kar, Department of Geography, Nowgong College, Nagaon, Assam
Floods and Area Development :A Remote Sensing Appraisal
Study Area: Mathura, Bharatpur and adjacent areas in parts of Yamuna Basin, U.P.
Data used: IRS & LANDSAT FCC
Outcomes: Geomorphology and quaternary Stratigraphy interpreted from RS data indicates that geological evolution of the area was controlled by fluvial river regimes emerging from Vindhyan Plateau in the south and newly risen tectonic lands of Himalaya in the North
Research Team(s): Saif-uddin, Iqbaluddin, RSAC, AMU, Aligarh
Mapping of Flood Disaster using Remote Sensing Techniques
Study Area: Karnal District, Haryana
Data used: IRS LISS-II (2,3,4) dated Sept 15, 1995, LANDSAT TM FCC (2,3,4) dated Sept 1995, SOI toposheets
Outcomes: Need for strengthening of control works along bank of river, periodically cleaning and disilting of artificial and natural drainage and regular monitoring of floods in different parts of state have been suggested.
Research Team(s): R. K. Nigam, M. Yadav, T. B. V. M. Rao, Haryana Remote Sensing Application Centre, Department of Science and Technology, Hissar, T. R. Nayak, National Institute of Hydrology, Sagar.
Drainage Analysis and Related Interference with the aid of Remote Sensing and GIS
Study Area: River basin of Bargarh district, Orissa
Data used: IRS-IB LISS II (pathrow-22/53) of March ’95, SOI toposheets
Outcomes: Flood magnitudes and extent of flooding were used in the preparation of flood risk zone maps and for regulation of land use in different flood zones certain priorities in respect of construction building and other utility services have been suggested.
Research Team(s): S. C. Gupta, R. Shankar, S. Sharma, CWC, New Delhi
Forest Fire
Forest fire Monitoring using Remote Sensing and GIS Techniques
Study Area: Gir Protected Area, Gujarat
Data used: IRS 1C/1D and P3 WiFS data
Outcomes: Resulted data helps identification of new fire locations, fire scars and fire boundaries
Research Team(s): K. L. N. Sastry, Dr. R. N. Jadhav, Dr. A. K. Kandya, P. S. Thakkar, Dr. M. M. Kimothi, Space Application Centre, Ahmedabad
Forest Fire Growth Simulation Modeling using RS and GIS
Study Area: General study
Data used: Collateral information and Remote Sensing data
Outcomes: Based on forest fire spread grid and fire damage grid, time series analysis of forest fire is developed. Outputs of the model include Fire spread map, Fire damage grid and Fire simulated map.
Research Team(s): S. Srinivasa Rao, A. Jeyram, D. S. Srinivasan, D. S. P. Rao, Y. V. N. Krishnamurthy, C. R. Ramesh, RRSSC, ISRO, Nagpur
Environment and Health Disaster
Effect of Budha Nallah on Environment and Health using GIS
Study Area: Ludhiana City, Punjab
Data used: Collateral information
Outcomes: Study reveals 29% of the total population of the city to be affected due to ground water contamination w. r. t. concentration of chromium, cyanide, hardness etc because of the disposal of untreated sewage from industries.
Research Team(s): H. S. Dhillon, Town and Country Planning Dept, Punjab, B. S. Sokhi, S. Maithani, Human Settlement Analysis Group, IIRS, Dehradun
Mapping of Tannery polluted area
Study Area: Dindigul, Tamil Nadu
Data used: Water and soil samples
Outcomes: Mapping data from chemical analysis, collection of water and soil samples etc. reveals that scant attention was paid to probe into the tannery effluents
Research Team(s): N. D. Mani, Dept. of Rural Development, Gandhigram Rural Institute, Tamil Nadu
Mapping of Environmental Quality and Distribution of Water Borne diseases with GIS
Study Area: Ahmedabad, Gujarat
Data used: Field Survey reports of hospitals in five homogeneous regions in Ahmedabad.
Outcomes: Study helps in identifying areas of high concentration of diseases and the reasons behind the occurrence
Research Team(s): Anjana Desai, Avantika Prajapati, Department of Geography, Gujarat University, Ahmedabad
Land Degradation, Landslide, Land Erosion
Assessment of Suspended Sediment Concentration of Silt Load in Bhagirathi River by Integrating RS data and Conventional Methodologies
Study Area: Bhagirathi river basin, Garhwal Himalaya, U. P.
Data used: Field watersamples
Outcomes: An interdependence of numerous independent parameters has been established
Research Team(s): A.K. Tangri, Ram Chandra, RSACM, Lucknow, Rajiv Kumar, Dept. of Geology, Lucknow Univ., Lucknow
GIS based model for landslide prediction using RS data
Study Area: Himalayan Terrain
Data used: IRS-1C-L3, LANDSAT-TM, SPOT and IRS-1C panchromatic data
Outcomes: Structural features, land-use/land cover, vegetation coverage and mass wasting potential areas derived from RS data were applied to predict landslide areas and the result was compared with actual landslide occurrences for validation purpose.
Research Team(s): P. K. Champati Ray, R. C. Lakhera, IIRS, Dehradun, S. K. Bhan, NRSA Hyderabad
Landslide Hazard Zonation using RS and GIS techniques
Study Area:
Data used: IRS-1C (1996), SPOT PLA (1990), SOI Toposheet No. 62C/6, collateral data like geological map of Himalaya
Outcomes: Geocoded satellite imagery were used to derive thematic data layers; drainage pattern, contour, settlements and road network were derived from toposheets and information about geology, soils, climate, vegetation etc. were collected and incorporated from published literature/maps.
Research Team(s): P.V.S.P. Prasada Raju, J. Saibaba, Advanced Data Processing Unit, Secunderabad
Studies on Problems associated with Malling Landslides using IRS data
Study Area: Kinnaur, H.P.
Data used: IRS LISS II data, Pre-existing geological maps, SOI maps and False colour Composite (FCC) at 1:50,000 scale
Outcomes: Usefulness of Remote Sensing technique on IRS data in studying problems associated with and factors causing Malling landslides
Research Team(s): L. N. Sharma, Ashok Kumar, Department of Applied Sciences, Punjab Engineering College, Chandigarh
Remote Sensing based engineering Geomorphological Mapping for landslides prognostication in parts of Nilgiris Hills
Study Area: Area around Ootacammand and Coonoor, Nilgiri, South India
Data used: IRS 1A satellite data, 1:10000 panchromatic aerial photographic data, ground trekking data
Outcomes: Landslides have been categorized into different landslide-prone areas by thematic integration and accordingly marked as pragnostatigatic areas of landslides.
Research Team(s): S. M. Ramasamy, R. Neelakantan, S. Francis, CRS, Bharathidasan University, Tiruchirapalli, Tamil Nadu
Mapping of Sodic Soil
Study Area: Pratapgarh District, U. P.
Data used: Not mentioned
Outcomes: The study suggests reclamation of the soil for its re-use
Research Team(s): Liladhar Gautam, NATMO, Calcutta
Soil Erosion and salinity
Mapping and Reclamation of Saline-Alkaline Soils, using LANDSAT TM Data
Study Area: Sultanpur District, U.P.
Data used: LANDSAT (TM FCC) data
Outcomes: Study provides synoptic view of the waterlogged zones that are potential sites for saline-alkaline soil development in the plain-ecosystem. It has been inferred that corrective methods for drainage in soils can reduce the probability of salt accumulation.
Research Team(s): Mukhtar Ahmed, RSACREG, Aligarh Muslim University, Aligarh
Natural hazard Zonation in the Eastern Hyunal Basin for watershed management
Study Area: Eastern Hiyunal basin of river Ganga in Garwhal Himalaya, Paria district
Data used: Various geo-environmental thematic maps
Outcomes: Basin has been divided into five different hazard zones characterized as very low, low, moderate, high and very high potential of natural hazard based on a Natural Hazard Index (NHI) formulated to indicate the probability of instability of a unit facet.
Research Team(s): D. D. Chauniyal, P. L. Sharma, HNB Garhwal University, Srinagar
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