This paper describes three mathematical modelling methods for high‐resolution declassified CORONA KH‐4B images. Since CORONA images are collected with a panoramic camera, several types of geometric distortions are involved. Two methods use the modified collinearity equations, and the third involves the terrain‐dependent rational function model (RFM) which is considered to be a generic sensor model. Comparative analysis of the three mathematical modelling methods is undertaken. The results show that a ± 1·5 pixels level of horizontal and vertical accuracy can be obtained. A digital elevation model (DEM) of a test site is also created.

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Abstract. We mapped ice shelf margins along the Queen Maud Land coast, Antarctica, in a study of ice shelf margin variability over time. Our objective was to determine the behavior of ice shelves at similar latitudes but different longitudes relative to ice shelves that are dramatically retreating along the Antarctic Peninsula, possibly in response to changing global climate. We measured coastline positions from 1963 satellite reconnaissance photography and 1997 RADARSAT synthetic aperture radar image data for comparison with coastlines inferred by other researchers who used Landsat data from the mid-1970s. We show that these ice shelves lost -6.8% of their total area between 1963 and 1997. Most of the areal reduction occurred between 1963 and the mid-1970s. Since then, ice margin positions have stabilized or even readvanced. We conclude that these ice shelves are in a near-equilibrium state with the coastal environment.

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A terrestrial laser scanner emerges as a main mapping technology for the indoor 3D model by providing fast and accurate 3D data. However, the field process to acquire the indoor 3D data using a terrestrial laser scanner heavily relies on the expert's field experiences. In this paper, the new method consisting of determination of optimal terrestrial laser scanner locations for indoor mapping using a genetic algorithm (GA) is proposed to acquire indoor 3D data more efficiently. The proposed method using GA utilizes building outlines extracted from 2D CAD drawings and it makes determination of the optimal locations and the number of scanner settings simple and fast. Furthermore, if the result of the proposed method is practically adopted with field experiences, it is expected to create a synergy effect in the process of acquiring indoor 3D data.