- Developed two methods for disaggregating low resolution passive microwave data to high resolution required by hydrologic models
- Developed an innovative algorithm for processing remotely sensed data that improves differentiation of image features
Optimal Deconvolution (ODC) uses mathematical reconstruction of sensor response functions to better characterize true microwave brightness temperature representation of features on the groung (e.g. agricultural field).
- Airborne and satellite microwave sensors : Add value by improving spatial characteristics of remotely sensed data
- Hydrology models and water management decision support tools: Provide improved soil moisture information