There has been a recent proliferation of spaceborne Earth imagers with high spatial (< 1m) and radiometric (> 8 bit) resolution capable of collecting stereoscopic image pairs along a single orbital pass, and airborne digital surveying cameras providing high quality multiple overlapped images. These sensors have the ability to generate 3D topography over all land surfaces with automated stereo or multiple image-matching algorithms. Digital Elevation Models (DEMs) provide critical information for a wide range of scientific, navigational and engineering activities. For contributing the photogrammetry and earth science society, I am developing the techniques resulting more reliable and realistic 3D topography, and less artifacts through fully-automated and robust algorithms.
In addition, the ability to remotely measure changes in land surface elevation is essential to many geoscience investigations. Prominent examples are measurements of glacier thickness change to estimate mass balance and constrain ice flow models and measurements of active and slide zones to identify hazards and estimate erosion rates. Therefore, minimization of the relative errors between successive DEMs through coregistration is a crucial step for obtaining reliable measurements of surface elevation change. For supporting the surface elevation change, I am developing more reliable coregistration algorithms.