My research interests are interdisciplinary in nature, but broadly fall into the common theme of exploring the use of remotely sensed (RS) information and geographical information system (GIS) applications to solve problems in environmental engineering, water resources management, and other civil engineering areas.
* Optical-Microwave (active) synergism for Agricultural and Hydrological application - A variational assimilation method for soil moisture using active microwave data.
- Developing soil moisture retrieval model and active microwave SAR data.
- Develop adjoints for soil moisture retrieval model and parameterization. IGARSS'08 Abstract
Ph.D. Research: My doctoral research was focused on the application of Neural Network and
Fuzzy Logic for retrieval of Soil Moisture using Microwave Remote Sensing Data
(RADARSAT-1). This project was funded by NOAA-CREST (National Oceanic &
Atmospheric Administration - Cooperative Remote sensing Science & Technology
Center).
* Land cover classification using Radarsat textural analysis (On hold) - Generate Gray Level Co-occurance Matrix based textural images for SAR data
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* Neural Networks algorithm for Snow Cover Identification - Spatial estimation of snow cover using passive microwave (SSM/I) data.
- Neural Network and filtering algorithm foor mapping snow cover.
* Planned, customized and directed GIS projects. - Directed image processing, and raster-to-vector conversion.
- Enhanced the quality control framework immprove product quality.
- Digital database generation using Ortho-PPhotograph and IKONOS images.
* Environmental Impact Assessment - EIA for an industrial area using Remote Sensing and GIS.
- Prepared technical reports and spreadsheeets for evaluation of projects.
