3D Geoinformation from Satellite Sensors
The notion of “3D GIS” has been gaining momentum in the geospatial industry for a few years now. Realistic 3D vector data, Building Information Modeling (BIM), 3D terrain and imagery are all important components of building a GIS infrastructure that goes beyond two dimensions. The convergence of GIS, photogrammetry and remote sensing data, tools and methods has now matured to the point of making integrated 3D GIS applications a reality.
ERDAS Engine - Increasing Throughput in a Cost-effective Fashion
As geospatial analysts process the extremely large imagery datasets that are typical in this industry, they are faced with a choice: save money by slowly generating data products using existing resources, or purchase additional software licenses to increase the number of processes that can be executed simultaneously. ERDAS Engine enables organizations to radically boost processing efficiency for less money.
Rein in 3D Point Clouds with the LAS Format
The advent of LiDAR sensors has been valuable for the geospatial industry, but there have been some challenges as the community attempts to fully leverage the technology.
Sensor to GIS: An Example Workflow
This white paper discusses photogrammetry as the link between sensors and GIS, allowing prepping up sensor data, creating data products and then using them in a GIS.
The New Paradigm: Leveraging the "Information Cloud" with the Dynamic GIS
The Dynamic GIS, which completely connects sensors to software and software
to solutions through specific vertical market services, ultimately provides a means
to protect lives, infrastructure, and society. An integrated geospatial system, the
Dynamic GIS is able to translate change, on the fly, into actionable information. The
earth is constantly changing, and snapshots of geography can be captured from
airborne, orbital, terrestrial, or hand sensors and saved as a permanent record of
events happening on the earth’s surface.