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Describe one geo-spatial network in detail: What remote sensing datasets does it use? What qualifies that network as a Big data Network?

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Final answer:

The Global Positioning System (GPS) is a geospatial network which employs remote sensing datasets to provide location and time information globally, qualifying as a Big Data Network due to its large volume of continuous data.

Step-by-step explanation:

Description of a Geo-spatial Network

A geospatial network that utilizes remote sensing datasets is the Global Positioning System (GPS). GPS is a network of satellites that provides location and time information to users around the world. The remote sensing technology in GPS captures data vital for an array of geographic information needs, including mapping, navigation, and tracking. Each satellite transmits signals that allow a GPS receiver to calculate its exact location through trilateration. The datasets used include signals related to satellite position, status, and precise time, which receivers interpret to determine their spatial position.

Big Data Network Qualification

GPS qualifies as a Big Data Network due to the vast volume of data it generates, the velocity with which it does so, and the variety of data it uses and creates. The continuous stream of data from a constellation of 24+ satellites working 24/7 results in large amounts of positional and temporal data. This massive collection of data is what defines GPS as a Big Data Network. Such networks enable detailed analysis and decision-making across various domains, including those mentioned - business analytics using GIS (Geographic Information Systems) and managing the impact of natural disasters like tornadoes through spatial data assessment.

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