Research
Focus Areas:
- 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
Benchmark Applications:
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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). |
Algorithms
Scaling Algorithms
- 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
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