We provide a variety of specialist data processing services that help optimize satellite imagery and elevation data. We advise on the optimal processing techniques to match data and project requirements, and always ensure that our clients are aware of the benefits (and trade-offs) of the options available.
Correction of atmospheric and sensor distortions to highlight further information within the image's spectral range e.g. edge detection and enhancement, vegetation enhancements, terrain smoothing, spectral analysis and contrast filtering.
Correction of distortions in image geometry caused by terrain elevation variations and non-vertical angles from the satellite to each point in the image at the time of acquisition. The output of this process is an image with increased planimetric (horizontal) accuracy, making the imagery more suitable to create or relate to large-scale maps.
Digital Elevation Models (DEMs) are useful for applications where topography pose specific constraints on the natural land cover such as vegetation, drainage and geology. Analysis of the type and height of relief can therefore be of importance for many applications, including slope analysis for route planning, drainage mapping and contour extraction.
Natural and False color images enable the user to highlight specific parts of the image by utilizing the most suitable portion of the spectrum for specific applications. This aids in image interpretation and visualization.
Due to the likelihood of multiple satellite scenes contributing to the final image, mosaicing and colour matching of the data is needed to create a single image tile. The mosaic process can be applied to any number of scenes with some data sets having been mosaiced together to produce a complete global image (SRTM, Bulk processed Landsat etc.).
3D rendering provides a highly effective method of visualising environment and terrain. Satellite imagery or aerial photography digitally "draped" over a terrain mesh created from DEMs can be used to create "static" 3D displays or fly-over animations.
Semi-automatic land cover classifications are primarily based on the spectral properties of optical satellite data. Such processing can be applied to high or low resolution imagery to provide a broad classification of a variety of different land cover types. This technique is especially useful when combined with elevation data for the assessment of terrain characteristics which may be encountered when performing ground operations.
Satellites provide an ideal platform to enable non-intrusive monitoring of locations, regardless of how remote they may be. Infrastructure or environmental changes whether over many years or from day-to-day can all be readily observed. Often archive data can be utilised to provide retrospective information and Synthetic Aperture Radar can enable monitoring in areas with persistent cloud.
For particularly challenging applications our remote sensing experts will develop bespoke processing solutions.
A world-leading supplier of satellite images, multi-client products and bespoke mapping services.
Expert, independent advice on the most appropriate satellite imagery (optical, radar) and elevation data products.
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