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NEWS
HxGN Content Program To Update Aerial Data During 2020
July 10, 2020

Hexagons Geosystems, a global leader in sensor, software and autonomous solutions, has announced the company’s HxGN Content Program, the largest library of high-accuracy airborne data, will be updating over 1 million square miles of high-accuracy four-band orthophotos, digital surface models (DSM) and stereo imagery across the United States and Europe in 2020.

In North America, the HxGN Content Program will update more than 965,255 square miles of aerial data, close to a third of the continental United States. This includes a refresh of previously captured states, such as California, Texas, Oregon, North Dakota, South Dakota, Nebraska and New Mexico.

In addition to the standard 30-centimeter resolution in wide areas and 15-cm resolution in urban areas in the U.S., the 2020 program will include 15-cm resolution data in wide areas upon customer request.

With a consistent and scalable high-resolution aerial imagery database, the HxGN Content Program offers large quantities of highly accurate and reliable data ideal to train machine learning algorithms that depend on steady streams of input to automatically recognize unique attributes. Artificial intelligence is used to automatically extract features in the data to provide valuable information across multiple applications, such as buildings, roads, railways, vegetation, solar panels and many more. Entire states and regions are collected in the same season to avoid a patchwork of irregular images. The multispectral source data is stored in a non-proprietary cloud optimized geo-tiff format ready for direct access.

“The regular data refresh and the high accuracy standards make the HxGN Content Program an ideal, cost-effective solution for many industries. Depending on the application, users have slightly different data requirements. To meet these demands, we have now made our product offering more flexible,” said John Welter, President, Geospatial Content Solutions, Hexagon’s Geosystems division. “The automotive industry requires very high-resolution leaf-off data for street-level detail, while in telecommunications leaf-on data provides information for line-of-sight analysis for 5G network implementations. In the public sector, data needs depend on the urbanization rates of the area. Ultimately, we are a customer-driven program that provides data to enable informed decision-making.”


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