Inversion of remote sensing data in a shallow water environment using a trans-dimensional probabilistic framework
Image data from remote sensing platforms offer an opportunity to observe and monitor the physical environment at a scale and precision unavailable to previous generations. The ability to estimate environmental parameters in a range of terrestrial and aquatic scenarios, often in remote and inaccessible areas, is a key benefit of using remote sensing data. Estimating physical parameters from remote sensing data takes the form of an inverse problem, predominately tackled using single solution...[Show more]
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