Processing Radar Imagery in the Name of PAZ

When the hisdeSAT PAZ (Spanish for ‘Peace’) satellite launches in the spring of this year, it will begin collecting Synthetic Aperture Radar (SAR) images for governmental and civilian uses. Diverse missions like high-resolution mapping, border control, tactical support missions, crisis management, natural disaster risk assessment, environmental monitoring, and marine environment monitoring mean that the data collected by the satellite has to be incredibly versatile and accurate.

Artist’s view of the PAZ spacecraft (image credit: Hisdesat)

The Spanish National Institute of Aerospace Technology (INTA) is responsible for launching major aerospace projects like the PAZ satellite, and is managing all of the spatial modeling and imagery analysis of the data provided by the satellite. With such a broad scope of functionality, the INTA needed a powerful and flexible solution.

ERDAS IMAGINE to Provide Remote Sensing Analysis and Spatial Modeling Capabilities

To find this solution, INTA turned to Hexagon Geospatial partner Tecnogeo. The organization decided to implement ERDAS IMAGINE®, which will allow it to perform a wide variety of advanced remote sensing analysis as well as spatial modeling.

“The PAZ satellite will support a wide range of mission requirements, and will be gathering a tremendous amount of imagery and data,” said Claudio Mingrino EMEA Executive Director Hexagon Geospatial. “As such, we are excited to be playing a critical role in helping Spain manage all of this data, and help turn it into actionable information for enhancing decision making.”

Thanks to PAZ’s synthetic aperture radar (SAR) in Banda X military, the satellite will be able to gather more than 100 images each day with up to 1-meter resolution — day and night and without hindrance from meteorological conditions. In addition, given its quasi-polar slightly inclined orbit, PAZ will cover the entire globe in 24 hours. Designed for a mission lasting five and a half years, the satellite will cover an area of more than over 300,000 square kilometers per day.

Cover image © Anton Balazh –


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