To deal with the extremely high data rate and huge data volume generated onboard a hyperspectral satellite, the Canadian Space Agency (CSA) has developed two fast on-board data compression techniques for hyperspectral imagery. The CSA is planning to place a data compressor on-board a proposed Canadian hyperspectral satellite using these techniques to reduce the requirement for onboard storage and provide a better match to available downlink capacity. Since the compression techniques are lossy, it is essential to assess the usability of the compressed data and the impact on remote sensing applications. In this paper, 11 hyperspectral data users covering a wide range of application areas and a variety of hyperspectral sensors assessed the usability of the compressed data using their well understood datasets and predefined evaluation criteria.

No abstract

Numerous techniques for empirical correction of the dominant once per revolution orbit error present in satellite altimeter data have been suggested along with various tests of their validity. These validations typically involve comparison of data from other sources, for example tide gauges, with altimetry, comparison of different orbit error models with which to approximate the radial error, or comparison of variabilities from collinear analyses with those from crossover differences. A new means of validating empirical orbit error correction is here presented through use of crossover difference differences (CDDs) to independently eliminate the dominant orbit error terms. A CDD, Cij, is defined to be C•.j = X•+• j+•-X• j, where Xi.• is the crossover difference derived from the intersection of ascending arc mlmber /' with descending arc number j; the arcs i and i+ 1, for example, are separated in time by one orbital period. This provides a measure of the change in ocean height difference between two geographical locations on the same circle of latitude, separated by an angle Z, equal to the angle though which the Earth has rotated during the orbital period. Removal of residual gravity field modeling error and systematic solar radiation pressure orbit errors produce a result that is purely ocean signal differences plus residual noise contamination. CDDs have been applied with Geosat crossover difference data from the Southern Ocean to validate an empirical correction technique obtained by combining the methods suggested by Milbert et al. (1988) and Tai (1988).The comparison has shown that a maximum, nonsteric annual signal of less than 1.5 cm was absorbed by empirical correction. In addition, it has been shown that relative height time series can be generated Z due east or west of a known time series without any need for further orbit error reduction.

No abstract

No abstract