Article
Sensor Sensibility: Sensors Transform the Information Ecosystem
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- 25 June 2012 | By Erik Shepard | 2477
Welcome to the inaugural issue of Sensor Sensibility. This column will focus on a number of topics related to sensors ranging from sensor platforms to sensor data, standards to architectures. Sensors are transforming the information ecosystem, providing an opportunity for real-time data acquisition of ambient conditions.
Discovering the Next Dimension: How LiDAR Data is Changing the Geospatial Workflow
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- 04 June 2012 | By Susan Parks | 2933
Today, geospatial data is used in critical decision making across industries and applications – from disaster response to defense and intelligence and natural resource management. When using geospatial data to make critical decisions, it is increasingly important to understand an area of interest from all angles in order to make the most informed decisions possible.
Hexagon Sets a Path for Deep Spatial Technology Integration
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- 11 June 2012 | By Matt Ball | 2448
The Hexagon 2012 conference took place last week in Las Vegas with 3,031 people from various industries, including utilities, communications, public service, automotive, plant, marine, government, security, and more. Attendees came from 76 countries, included 60 sponsors, with 400+ sessions that amounted to 29,000 hours of education. This second annual event provided an updated on geospatial technology integration, with announcements from Leica Geosystems and Intergraph, that demonstrate a deeper integration between diverse technology offerings.
Mapping Carbon in the Forests: Seeing Both the Forest and the Trees
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- 08 May 2012 | By Matteo Luccio | 3487
A key component in the global effort to mitigate climate change is to measure and map the amount of carbon stored in forests. This is at the core of the United Nations Collaborative Programme on Reducing Emissions from Deforestation and Forest Degradation in Developing Countries (REDD) and of similar “cap & trade” initiatives in developed countries. The most accurate and cost-effective method to measure forest carbon combines remote sensing — specifically, satellite imagery and aerial LiDAR — and field measurements.
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