File size: 205 MB

Pixels add up.

Save space and storage costs by reducing the size of your geospatial data. Compress raster imagery to MrSID, JPEG 2000 and NITF formats, or compress LiDAR data to MrSID and LAZ formats. Then, optimize your imagery with powerful tools for mosaicking, reprojection, and more. Save Space. Save Money.

Compress massive geospatial images and LiDAR data into high-quality MrSID files. Your files are smaller and more manageable, and so are your storage costs.

Improve Images

Use the powerful suite of GeoExpress editing and manipulation tools to crop, color balance, compile mosaics and more. Create exactly the image you need, every time.

Solutions Highlight

In Ville de Sherbrooke in Quebec, police and fire vehicles can access years' worth of critical GIS data while on the go. In-vehicle data terminals are updated while cars and trucks are parked in the garage and undergoing maintenance, but that much data usually takes up a lot of space - and a lot of bandwidth on the network. Thanks to GeoExpress, the city saves time, money and space with compressed datasets, and police and fire personnel are able to receive critical data sooner. When comparing third-party one-time compression options with GeoExpress, the city found that the GeoExpress compressed images had higher quality. The city initially saved thousands, and will continue to save as it utilizes GeoExpress to compress future datasets.

Maximize the value of your geospatial images while saving space and storage costs.

Raster Image Support

Supports raster compression to multiple formats, such as the industry-standard MrSID image compression format, the ISO-standard JPEG 2000 format, and the government-standard NITF format.

LiDAR Image Support

Enables LiDAR data compression to MrSID and LAZ formats. Allows you to reduce the size of your point cloud data by 75% or more, while retaining the precision and accuracy of your raw data.

MrSID Technology

Optimized to create MrSID files, a powerful wavelet-based image format, which is supported in nearly all GIS applications. Built-in pyramids mean MrSID files load almost instantly in most applications.

Flexible Compression

Specify a compression ratio or use lossless compression. For raster images, you can also specify a target file size, set per-band compression ratios, or use quantization for floating point images.

Lossless Compression

Patented algorithm allows you to compress your geospatial data for true pixel-by-pixel fidelity.

Seamless Mosaics

Create smooth mosaic datasets using intuitive tools. Your mosaic tiles become a seamless single image for use in any application, which remains snappy and responsive.

Color Balance Across Images

Automatically adjust brightness, contrast, and gamma, or use manual controls to fine tune adjustments.

Color balance one image, then apply the same changes to all of your other images at once to create consistency across your imagery.

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Crop and Export Images

Edit your images to the exact size and resolution you need. Extract a specific scene from an image, create customized image tiles, or crop images to match a shape file. Select from preset export options for web and print or create your own.

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Customize Multispectral Imagery

Copy your image bands exactly, change their order, or set different compression ratios for each band. MrSID Generation 4 (MG4) image files support up to 255 image bands.

Windows 10

Windows 8

Windows 7

Windows Server 2016

Windows Server 2012

Windows Server 2008 R2

64-bit Windows operating system.

You can now rename jobs directly in the Job List.

You can use the arrow keys to navigate the Job List.

Bug fixes

Fixed an issue where GeoExpress could not compress LiDAR .txt files to MrSID on Windows systems with Region set to Canada and Language set to French (Canada). [LT-3090]

Fixed an issue where Mosaic output did not use the selected default output file format. [LT-3508]

Improved the error message that is displayed when a badly-formed shapefile is used in a crop operation. [LT-3700]

Fixed an issue where converting a .sid image with WGS84-based projection to NITF would result in a custom projection rather than the appropriate EPSG projection. [LT-4018]

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