Unlike optical remote sensing, which has number of limitations in providing near-real time monitoring, microwave remote sensing sensors have proven their capabilities for generating geophysical products in any weather conditions and during night time. Our highly qualified team members combine both to bring an all weather product.
With large number of articles published on variety of state-of-the-art mathematical algorithms (ranging from physical based to statistical techniques) in top and high impact factor international journals, we have developed unique expertise for providing solutions based on user’s priority and service requirements.
Our primary areas for algorithm development include:
- High spatio-temporal soil water monitoring.
- Monitoring vegetation (crop yield, biomass and leaf area index).
- Mapping variations in open water bodies.
- Combining hydrological and remote sensing algorithms.
- Polarimetric microwave satellite observations for crop structure monitoring and yield predictions.
- Merging mobile technology, social media data with remote sensing observations.
- Hydrogeological parameterizations and ground water mapping.
- Data assimilation techniques for developing land surface components needed in reliable local scale weather predictions.