Geomatica® Applications
Geomatica breaks down the conventional divisions in traditional remote sensing, GIS, photogrammetry, cartography, web and development tools while offering a single integrated environment, meaning fewer errors, less wasted time, and greater productivity.
To learn how Geomatica can support your geospatial data processing needs while increasing your productivity, click on the following Geomatica application examples:
Orthoimage Generation
Images acquired through satellite or airborne sensors contain camera and terrain related distortions which make the images unsuitable for geospatial analysis as positions within the image may be significantly inaccurate. Orthorectification converts imagery into map-accurate form by removing camera and terrain related distortions from the imagery through the use of sensor and terrain (elevation) information. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications.
Geomatica contains a complete suite of tools supporting orthoimage generation from a wide variety of satellite and airborne sensors, including the new generation of high-resolution satellite sensors.

Quickbird Imagery Before & After Orthorectification
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Image Mosaic Generation
Image-mosaics are digital assembles of adjacent images connected (or ‘stitched’) together into one image. Mosaicking images is beneficial as the end product covers a larger geographic area than the original single images. This makes image mosaics more useful than single images for many applications such as, area visualization, data updating, feature extraction and map production.
Geomatica’s digital orthomosaic techniques remove terrain and image distortions ensuring seamless output mosaics. Both manual (mosaic cutlines and image-to-image color balancing determined by user) and automatic (cutlines and color balancing automatically generated) are available. OrthoEngine automatic mosaicking technology includes automatic detection/removal of hot spots, automatic radiometric color balancing between overlapping images and global optimization over the entire mosaic, and automatic cut-line determination to minimize the visibility of seams.
Mosaicking using Geomatica OrthoEngine Technology
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Digital Elevation Model (DEM) Generation
Digital Elevation Models’ (DEM’s) are images representing ground elevation values. DEM’s are essential inputs into applications including orthoimage generation, drainage and watershed analysis, line-of-sight analysis, mission preparation and terrain visualization.
Geomatica OrthoEngine technology offers a variety of Digital Elevation Model (DEM) extraction techniques, as well as a full set of tools for editing DEM data.
OrthoEngine technology's advanced image correlation algorithms perform automatic DEM extractions quickly and accurately from stereo imagery. Automatic DEM extraction is available for stereo airphotos, or ASTER, EROS, IKONOS, IRS, QuickBird, SPOT, RADARSAT or ASAR images.
In cases where stereo imagery is not available, the OrthoEngine technology includes flexible tools for importing, merging, and interpolating DEMs from a variety of data types including elevation points, contours, rasters, TIN data and more.
DEM and Contours Generated with
Geomatica OrthoEngine Technology
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Data Access and Interchange
If you have worked with more than one type of geospatial data, you are likely aware of the various problems that can occur when combining several data formats into a work project. Many data types are often incompatible with the specific software packages that are to be used for data inspection and processing. Traditionally, this incompatibility has been a major impediment to the viewing, processing and sharing of geospatial data.
PCI Geomatics’ exclusive Generic Database (GDB) technology makes it possible to view, translate and process geospatial data from over 100 geospatial data formats.
Accessing Multiple Data Types in Geomatica
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Spatial Analysis
Situation analysis, and resulting decisions, usually involves the use of more than one data source. Whether determining the suitability of various areas for a specific need, or trying to predict future events such as urban expansion or crop yields, the use of multiple data sources is essential.
Almost all data has a geographic component: a city, a river, or a voting district. Built on a robust legacy, Geomatica’s spatial analysis tools allow you to visualize, analyze and model geographic information so you can uncover spatial relationships, trends and patterns that may not be obvious.

Location Suitability Analysis in Geomatica
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Map Production
Accurate and professional maps can relay a fantastic volume of information. Geomatica contains a wealth of mapping tools and features to assist in the production of high-quality, accurate maps. Best of all, Geomatica mapping technology is built directly into the Geomatica work environment so that geographical information can be effortlessly imported, exported, layered, edited, and extracted from geospatial data and then related easily and accurately onto a digital map.

Land-cover and Feature Map Produced in Geomatica
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