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Best Lightweight GIS viewer: GeoViewer from LizardTech
To meet the demands of today’s data-driven geospatial world, companies need access to fast, reliable, and easy-to-use tools for visualizing spatial data — alleviating the burden of using full-fledged GIS software. When you are looking for something more streamlined, LizardTech’s GeoViewer is recognized as one of the premier lightweight GIS viewers out there. This technical overview examines how GeoViewer fulfills the requirements of professionals who require efficient means

Anvita Shrivastava
1 day ago4 min read


3 Best Free GIS Software Applications
Businesses that utilize spatial data, satellite imagery , and mapped information rely heavily on Geographic Information System (GIS) software. Users of all types depend on affordable, reliable GIS software to enhance their productivity, from government agencies to environmental consultants, urban planners, and even geospatial analysts. This article will discuss 3 of the best FREE GIS software applications available today, including GeoViewer, one of the most innovative solut

Anvita Shrivastava
2 days ago4 min read


Create MrSID Images in Python – Enterprise-Grade Raster Compression
In today’s geospatial world, handling and distributing ultra-large raster datasets — whether aerial , satellite , or drone imagery — demands compression that’s fast, scalable, and high quality. That’s where the MrSID format shines. Developed by LizardTech , MrSID (Multi-Resolution Seamless Image Database) delivers industry-leading raster compression with minimal quality loss and blazing performance. Now developers and GIS professionals have the option to use the GeoExpress

Anvita Shrivastava
3 days ago3 min read


Best Image Format for GIS in 2026: Performance, Compression, and Scalability Compared
The amount of geospatial data available is increasing dramatically by the year 2026. With orthomosaics of whole states, nationally scanned elevation models, high-resolution satellite images , and drone images , GIS professionals require imagery formats that can deliver fast speeds, compression efficiency, and enterprise scalability, as well as maintain image quality. Selecting an appropriate raster format is no longer a matter of simply selecting a storage medium. It directl

Anvita Shrivastava
4 days ago3 min read


A Complete Guide to Viewing MrSID Files in QGIS, ArcGIS, and Open-Source Platforms
To manage large-scale imagery databases efficiently, geospatial professionals need high-performance raster formats. One of the industry’s most dependable formats is MrSID (Multi-resolution Seamless Image Database) , developed by LizardTech . It offers strong compression and produces high-quality images that work well in the GIS market for aerial imagery and satellite data, as well as for large-scale geospatial archives. MrSID Files in QGIS, ArcGIS, and Open-Source Platforms

Anvita Shrivastava
Feb 133 min read


Why State Departments of Transportation (DOT) Rely on MrSID for Large-Scale Geospatial Compression
Many state departments of transportation (DOTs) oversee some of the largest and most complicated sets of geospatial data in government. With orthophoto and LiDAR imagery statewide, engineering drawings, and corridor data, DOTs are still storing and managing increasing volumes of images and raster data each year. To save space and handle large amounts of data, most departments of transportation (DOTs) use a very powerful geospatial compression format called MrSID (Multiresolu

Anvita Shrivastava
Feb 124 min read


How to Integrate MrSID Workflows into QGIS and ArcGIS Pro
Because high-resolution geographic imagery is central to many of today's GIS processes (for example, developing state-wide orthophoto programs, maintaining satellite image archives, or handling drone imagery ), the need for updated high-quality imagery exists. The MrSID (Multiresolution Seamless Image Database) format has been around for a long time now and is one of the most used formats for compressing large raster images with no loss in visual quality. This guide will he

Anvita Shrivastava
Feb 114 min read


The Hidden Costs of Uncompressed Imagery in Architecture, Engineering, & Construction Workflows
Today, with Architecture, Engineering, and Construction (AEC) projects, imagery is the backbone of AEC infrastructure as opposed to an ancillary product; high resolution aerial imagery , LiDAR-derived rasters, drone imagery and scanned drawings are being used in the decision making process for all areas including planning, design, construction and asset management. However, the majority of organizations are still working with uncompressed/poorly optimised formats for storing

Anvita Shrivastava
Feb 104 min read


The Future of Ultra-High-Resolution Satellite Imagery Management
Organizations are gaining a new perspective on the way they understand, analyze, and manage the earth with ultra high resolution (UHR) satellite imagery. Because UHR imagery can now be collected at resolutions near to sub-30 cm per pixel and are generally can be resampled at 15 cm, satellite imagery produces an extraordinary amount of detail and can be used for a variety of applications, from defense and intelligence, to urban planning and environmental monitoring, to commer

Anvita Shrivastava
Feb 94 min read


How to Reduce GIS Storage Costs by 70% Without Deleting Data
The GIS departments are faced with mounting pressure all the time due to the exponential increase in the amount of geospatial data . There is a lot of analytic value associated with the availability of high-resolution imagery, LiDAR point clouds, and raster datasets; however, these files generate large amounts of backlog and fees for backups and transfers due to their huge size. Fortunately, it is possible to decrease GIS storage costs dramatically without having to delete, d

Anvita Shrivastava
Feb 64 min read


Reducing Data Bloat: Why Compression is Critical for High-Resolution Satellite Imagery
Industries ranging from defense to environmental monitoring; urban planning; agriculture; disaster response have applied high-resolution satellite images for many years. As sensor technology continues to advance, satellites will provide images of unprecedented spatial, spectral and temporal resolutions. This advancement creates a greater opportunity to analyze large amounts of data more deeply. However, as this data grows in size, these same organizations face a challenge ca

Anvita Shrivastava
Feb 54 min read


Lossless vs Lossy Compression: What Should You Choose?
As we continue to evolve in our global society dominated by large amounts of digital information, such as high-resolution visual data, there is no longer any choice regarding the use of compression; whether you are dealing with remote sensing images; medical image data; multimedia content; or other forms of digital data the right selection of compression scheme will greatly affect your entire processing system in terms of cost savings, performance and quality of the digital i

Anvita Shrivastava
Feb 43 min read


Common LiDAR Compression Mistakes (and How to Avoid Them)
The volume of LiDAR data is increasing rapidly. Through larger pulse densities, more extensive coverage, and more regular data capture, organisations are now handling Terabyte (TB) or even Petabyte (PB) point cloud datasets. Thus, compression is not an option any longer; it is required. Unfortunately, improper compression of LiDAR Data can often lead to performance bottlenecks, interoperability problems, and even permanent loss of data. In the following article, we shall exam

Anvita Shrivastava
Feb 34 min read


How Image and LiDAR Compression Transform GIS Workflows
Data is the focus of contemporary GIS processes because they are data-centric workflows. Geographic professionals are expected to manage massive amounts of data, including satellite imagery at high resolutions as well as LiDAR point clouds that contain millions of points. The volume, complexity, and urgency of this data has never been greater; as a result, if you cannot efficiently manage large quantities of data, storage and performance will quickly become bottlenecks in yo

GeoWGS84 Corp
Feb 24 min read


MrSID vs LAZ: Comparing LiDAR Compression Formats
LiDAR has changed how people do modern mapping, surveying, forestry, transportation, utilities and smart cities. LiDAR sensors produce huge amounts of point cloud data that need to be efficiently compressed for storage and distribution and performance as well. Two of the most talked about formats in the LiDAR ecosystem are MrSID and LAZ. MrSID vs LAZ (Created by Google Gemini) Why LiDAR Compression Matters LiDAR data files are very large (up to terabytes) and without any way

GeoWGS84 Corp
Feb 23 min read


Behind the Scenes: How MrSID Was Born and Evolved
The size of geospatial data is significant. Imagery and point cloud data have gone from megabytes of storage to terabytes of storage, which has required a way to store, transmit, and visualize these large files without compromising quality or performance. This created the need for MrSID® (Multiresolution Seamless Image Database) ; a new compression and streaming technology developed by LizardTech . In this behind-the-scenes look, we'll see how MrSID was created, what techni

Anvita Shrivastava
Jan 304 min read


How to Get a Cartridge ID from Express Cartridge Manager (ECM)
Install the Express Cartridge Manager (ECM) Ensure the Express Cartridge Manager(ECM) is installed on the machine that will host the license and Express License Manager is installed. Complete the installation and verify that the installation completes successfully. You can download the ECM from https://www.lizardtech.com/download (OPTIONAL)Start ECM Service Open the Services manager (Windows) and confirm that the Express Cartridge Manager Server service is running. By defa

Anvita Shrivastava
Jan 301 min read


How GIS Professionals Are Managing Terabyte-Scale Imagery Today
With the increasing amount of geospatial data being created, GIS professionals are beginning to realize that managing, storing, and delivering terabytes of imagery is now a mission-critical task rather than an optional task as before. Sources of high-resolution satellite and aerial photography as well as large LiDAR datasets across the United States require new ways to work with these datasets to ensure they can be efficiently processed without degradation of performance or

Anvita Shrivastava
Jan 294 min read


How to Obtain a Locking Code from the GeoExpress License Server (Windows)
If you're installing GeoExpress in a licensed environment, it is important to get a valid lock code from the GeoExpress License Server. The lock code uniquely identifies your license server and permits LizardTech to create a permanent license file that will activate GeoExpress on your network. This guide provides a step-by-step guide to obtaining a lock code on Windows, describes the most common hiccups that can occur while activating the license, and gives some best practi

Anvita Shrivastava
Jan 291 min read


Optimizing Geospatial Data Workflows for Cloud Storage and Distribution
With the increase in volume of geospatial data , organizations must find new methods to effectively store, manage and distribute large amounts of data. High-resolution satellite imagery , aerial photography , LiDAR point clouds (3D representations of the Earth's surface), and raster maps all play important parts in modern GIS workflows. However, these types of data can quickly surpass the capabilities of conventional infrastructure. As a result, the emergence of cloud computi

Anvita Shrivastava
Jan 284 min read
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