Resources

LizardTech's Advanced Compression MrSID Technology

For more than a decade, the MrSID® technology from LizardTech® has been the GIS industry’s leading solution to the problem of storage and management of large geospatial datasets. Today, as the precision of sensors increases and as new data forms such as multispectral and LiDAR become more widely available, the need for advanced compression technology such as MrSID continues to grow.

In this white paper, LizardTech introduces you to the concept of compression, MrSID technology, and the features that the MrSID format brings to your applications and workflows.

Download the full white paper here.

Harnessing the Cloud for Spatial Data Management

With the increasing spatial, spectral and temporal resolution of satellite and aerial imagery, there is an accompanying increase in storage requirements and processing capacity to effectively manage that data. There are considerable challenges to managing and hosting your own spatial data, despite the reduced cost of computers and storage space. There are now cloud-based solutions for spatial data storage, manipulation, and retrieval that remove the capital expense of hardware purchases as well as the burden of maintenance. The flexible capacity of the cloud allows users to maximize customer satisfaction and employee productivity while minimizing cost.

Cloud-based content management solutions remove data storage, maintenance and integration drudge work from day to day activities. Relying on an entity that is solely focused on hosting and spatial data services increases spatial data management efficiency while freeing up staff to focus on the company’s mission.

Download the full white paper here.

Accuracy in the Hands of the Workforce: Portable GPS Devices Prove Central to Accurate Solutions

The casual use of satellite-based positioning has proliferated, with GPS now readily available in mobile phones and cars. Most GPS receiver chips in such devices can achieve an accuracy of just two to three meters, which is far less accurate than professional-grade devices. Consumer- grade devices lack the ability to provide quality assurance details or metadata about position so that you can’t be sure with confidence that the positions that you collected are correct. When lower-end accuracy is used for data collection, what also gets lost is the utility of high-accuracy position, and the kinds of insight that are revealed only at higher accuracies.

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Siemens Publishes Study on Munich's Progress Toward a Carbon-free Future

A city like Munich can cut its CO2 emissions by up to 90 percent by mid-century without impairing the quality of life for its inhabitants. This is the main finding of a new study entitled “Sustainable Urban Infrastructure: Munich – Paths toward a Carbon-Free Future.” Commissioned by Siemens, the Wuppertal Institute for Climate, Environment and Energy examined how a modern metropolis like the Bavarian capital can drastically reduce the amount of CO2 it emits. Using a specific model urban district, the analysis concretely demonstrates how the transformation to a virtually carbon-free metropolis can be accomplished in terms of infrastructure and technology. Key levers for cutting CO2 emissions are high-efficiency energy applications, in particular in buildings; infrastructure modifications in the areas of heating, electricity and transportation; and a transition to renewable and low-carbon energy sources wherever possible.

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