Development and Testing of Physically-Based Methods for Filling Gaps in Remotely Sensed River Data
Abstract
The specific objectives of the research work carried out under this grant are to develop and test two methods for filling in gaps in remotely sensed river data. The first method is based on developing a new numerical method to fill in missing information in remotely sensed data sets using the equations expressing conservation of mass and momentum. The second method is based on using existing models for coupled computations of flow, sediment transport, and bed evolution to predict where remotely sensed data is likely to be incorrect and to repair errors using predictions of morphologic evolution of the bed. This method is directed primarily at errors in bathymetry, although we believe it could potentially be used in conjunction with the first method to repair other kinds of remotely sensed information. For the first year of this grant, our goals were (1) to develop and test the second method by using existing river bathymetry data sets to evaluate the capability of morphodynamics models for finding and correcting errors, (2) to collect data sets in the laboratory suitable for testing the first method, and (3) to collect at least one large-scale field data set for testing the second method.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2011
- Accession Number
- ADA557169
Entities
People
- Jonathan M. Nelson