Research Areas at CSRE

Spatial Analysis Group

Major Areas of research include Geospatial Technology – Theory, Algorithm Development, Applications and Software Development. The group has developied algorithms for geospatial data storage, analysis and visualization. Developed an indigenous GIS package – GRAM++.

Present research areas include Modeling spatio-temporal dynamic processes, Multi dimensional GIS, Spatial data security methods, Positional accuracy assessment in GIS and Spatial data mining

  • Group Leader: Prof. (Mrs.) P.Venkatachalam
  • Group Members:
  • Manoj Kumar (PhD student/Teaching Assistant)
  • Sangita Gopal Zope (PhD student/Teaching Assistant)
  • Arun Madan (M.Tech student/Teaching Assistant)

Digital Image Processing

The group is involved in areas such as Image Classification, Image Segmentation, Pattern Recognition, Multi Resolution Signal Analysis, Neural Networks, Wavelets.

Global Positioning System (GPS) and Photogrammetry group

The group is working on following research areas: Global Positioning System: Precision Geo-location, Modeling of Ionospheric and Tropospheric effects on GPS signals, Rapid Geo-tagging, Stereo Image Processing and Analysis: Feature Extraction and Matching, Multimodal Stereo Image Analysis, Remote sensing and GIS applications: Surface Hydrology, Landuse Planning (AM/FM)

Geocomputational Systems group

Geocomputational Systems group is working in the areas of Image Information Mining (IIM) of petabyte-scale remote sensing image archives in a cloud computing environment, OGC standards-driven geospatial sensor webs, Geosemantics, Knowledge-based systems, Biophysical variables retrieval from Remote Sensing data, Data mining and Machine learning, Spatial Data Infrastructures, Critical Infrastructure Protection.

  • Group Leader: Prof. S. Durbha
  • Group Members:
  • N. Nivedita (PhD. student/Teaching Assistant)
  • A. Prakash (PhD. student/Teaching Assistant)
  • Ujwala Bharmbe (PhD. student)
  • Ujwala Bhangale (PhD. student)
  • Kuldeep Kurte (PhD. Student)
  • Abhishek Potnis (PhD. Student)
  • Pratyush Talreja (M.Tech Student)
  • Avinash Lokhande (M.Tech Student)

Microwave Remote Sensing

Microwave remote sensing group of CSRE is working on both active and passive microwave remote sensing data for land based applications such as soil moisture retrieval, land use/land cover mapping and SAR (Synthetic Aperture Radar) interferometry for DEM generation and surface change studies. The group has also analysed SSM/I and AMSR-E data for soil moisture mapping over India. Active microwave sensing was started in CSRE in 1989 with Canadian Intera airborne X-SAR data acquired over Rajahmundry and Andamann and Nicolbar Islands. As part the project, various SAR filters and classification techniques were implemented. The data were also used for land use/land cover analysis. With the Announcement of opportunity given by ESA and Jaxa, CSRE got several SAR images from ERS-1/2 and JERS-1 satellites over India and anlysed the data for various applications such as backscattering properties of different objects, classification of agriculture fields, soil moisture mapping, etc.. The group also actively participated with Shuttle Imaging Radar (SIR-C) mission flights in 1994 and collected filed data synchronous with SIR-C passes over Gujarat, India. Several tandem data sets were acquired over India and used them for DEM generation. Differential InSAR technique was demonstrated using ERS-1/2 SAR images acquired over Indian glaciers and Chmoli earthquake affected areas. Several workshop/conferences/training programmes were conducted in CSRE with available data. The group is presently working on AMSR-E and SMOS satellite data for soil moisture mapping over large area and also polarimetric SAR data from ALOS-PALSAR and Radarsat-2 for soil moisture retrieval and classification of various land features. The group is involved in collecting ground truth synchronous with TanDEM-X mission and generating high resolution DEM.

Research is ongoing in the field of statistical analysis of SAR image which aims to describe SAR images through statistical methods and reveal the characteristics of these images. The group research interests also focuses on the theory and applications of SAR polarimetric decompositions and information theoretic methods for optimum polarimetric feature subset selection and machine learning methods for classification. The group also focuses on the aspects of statistical analysis of SAR speckle filtering methodologies.

Snow and Glacier Studies Group

The current research of the Snow and Glacier Studies group pertains to the study of cryosphere (glacier and snow) through remote sensing. Optical remote sensing data is being used to monitor the retreat of glaciers and mapping of glaciers. Techniques like NDSI are being used to map snow cover. Remote sensing based techniques are evolved to estimate mass balance of different glaciers. For this purpose, AAR and ELA based methods, DEM derived from stereo optical data, SAR interferometry techniques and also from cryosat-2, tandem-x are exploited to evaluate mass balance of various glaciers involving limited field based mass balance measurement values. Algorithms are also being developed based on SAR polarimetry for estimating snow pack characteristics like snow wetness, density, grain size, snow water equivalent etc. Innovative snow cover mapping technique based on polarisation fraction and λ3 (eigen value of coherency matrix) known as radar snow index has also been developed. Differential InSAR techniques are being attempted to estimate the glacier movement. Intensity tracking techniques have been successfully used to understand the glacier movement. A new technique combining ascending and descending track InSAR and multi aperture interferometry together (3D-DInSAR) has been developed to estimate the glacier dynamics.

  • Group Leader: Prof. Gulab Singh
  • Group Members:
  • Dr. Parag S. Narvekar (Research Scientist)
  • Vijay Kumar (PhD student)
  • Pratima Pandey (PhD student)
  • Farjana Birajdar (PhD student)
  • Hari Prasad (PhD student)

Geology and Mineral Resources Group

The mineral systems studies and mineral exploration group focuses on understanding deep-seated mineral systems using a variety of remotely sensed data including ground and air/space-borne geophysics such as gravity, magnetic, seismic data; multispectral and hyperspectral optical and thermal remote sensing; and microwave remote sensing. The high goal of the research is to translate mineral systems understanding into a set of spatial proxies and, subsequently, model them using GIS-based spatial information integration techniques for predicting mineral potential areas. The group also carries out 3D and 4D crustal modelling studies for understanding the tectonic and metallogenetic evolution of geological provinces. The group is currently working on uranium, gold, and base-metal mineral systems of the Aravalli Region of Western Rajasthan and is also involved in a collaborative research project with the University of Western Australia and Geological Survey of Western Australia for mineral prospectivity analysis of various geological regions of Western Australia.

  • Group Leader: Prof. A. Porwal
  • Group Members:
  • Mahender Pal (PhD student)
  • Ranjan Sarkar (PhD student)
  • Shilpi Yadav (PhD student)
  • Sourav Karwa (M.Tech student)
  • Pragya Singh (M.Tech student)
  • Shikha Gaur (M.Tech student)
  • Group Website: Geology and Mineral Resources Group

Agro-Informatics and rural development

The flagship project of the Agro-Informatics and Rural Development group is Indo (IITB) - Japan (The University of Tokyo and National Agricultural Research Center/Tsukuba) Bilateral (DST/JST) Project, and the main objective is to develop a real to near-real time DSS, called GeoSense, in precision agriculture (crop yield modelling, precision irrigation and pest/disease forewarning modelling) aspects. Geo-ICT concepts from GramyaVikas model, and distributed wireless sensing devices (Agrisens from the SPANN Lab, IITB and FieldServer from the NARC, Japan) are being integrated to develop the GeoSense. Experiments are also being carried out with wireless sensor network-based Flux Towers to study the energy balance under various irrigation conditions for climate change adaptation strategies. In addition, for the first time in India, FieldTwitter, with an Open hardware system with cloud computing technology, has been deployed for cost effectiveness. The Wireless Sensor Network is deployed in a Research Farm of Agro-met Cell, Agricultural Research Institute, ANGRAU/Hyderabad, and test crops are rice, groundnut and maize. Other important attempts of the group are to (1) develop a viable and generic toolkit for integrated watershed planning and management of its natural resources, called “WATMIS: Watershed Management Information System” using multiple technologies like GIS, Remote Sensing (RS), GPS, hydrological modelling, etc.; (2) study the temporal distribution of dynamic CBL height using LiDAR laser based remote sensing instrument for monitoring temporal distribution of particle movement along with thermal or convective cells due to solar heating in the day time over a Southern Tropical region in India (in collaboration with the NARL-ISRO/Tirupati); and (3) understand the soil-water-vegetation dynamics in watersheds with reference to climate change scenarios (in collaboration with CS&WCR&TI/ICAR).

  • Group Leader: Prof. J Adinarayana
  • Group Members:
  • Sudharsan D (PhD student/Teaching Assistant)
  • Amiya Kumar Tripathy (PhD student/Sponsored)
  • Prajakta D Aher (PhD student/Teaching Assistant)
  • Suryakant Sawant (PhD student/Teaching Assistant)

Terrain evaluation group

The terrain evaluation group focuses on three attributes of terrains, namely, soils, land-use/land-cover and topography, that directly influence the remotely sensed response of different agroclimatic and geomorphic zones. The group has worked extensively on Coastal, plain and ghat terrains of Konkan and Goa; Plateau and ghat regions of Pune, Aurangabad, Chandrapur and Malaprabha; and Western dry and desertic region of Jaisalmer. The current research focus of the group is on development of terrain evaluation schemes using geospatial technologies for analyzing the contribution of terrain parameters in water erosion and for sustainable watershed development for flood control.

Environment, natural hazards and disaster management group

The natural environment studies and management form the key research foci for this group. The group has done extensive work on the impact assessment of anthropogenic activities on natural environmental using remote sensing and GIS tools. The group has worked on the environmental impact assessment of Konkan railway alignment during the construction phase, iron mining in Goa and Bailadila and Navi Mumbai International Airport. Another major field of research is evaluation, impact assessment and management of natural hazards in particular landslides. The group is also working in drought vulnerability studies and snow avalanche susceptibility.

Coastal and marine sciences

The topics include assessing and monitoring coastal and marine processes and changes therein and cover aspects like mangrove ecosystems, shoreline changes and beach erosion, saline seeps, coastal vulnerability to various natural hazards and marine water quality. Integrated Coastal Management approach as well as extensive use of Geoinformatics tools is emphasized upon in addressing regional problems.