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Partnership Streamlines Hyperspectral Data Collection and Processing

The world of hyperspectral imaging has gained significant momentum, driven by the increasing demand for high-quality, real-time data in industries such as agriculture, natural resources, environmental monitoring, and defense. In response to this need, Headwall Photonics, a global leader in hyperspectral imaging technology, and GRYFN, a pioneer in multi-modal sensing solutions, have entered into a strategic partnership to streamline hyperspectral data collection and processing.

  • Headwall Photonics
  • GRYFN

This collaboration will integrate Headwall’s high-performance hyperspectral imaging systems with GRYFN’s advanced software and calibration technologies, resulting in a complete, easy-to-use solution for research-grade remote sensing. The partnership will benefit industries such as agriculture, natural resources, environmental monitoring, and defense, making it easier for them to collect and process high-quality data for real-time decision-making.

“By combining our hyperspectral imaging technology with GRYFN’s software and calibration capabilities, we’re making it easier than ever for customers to collect and process high-quality data for real-time decision-making.” – David Blair, VP/GM of Remote Sensing at Headwall.

The partnership will be facilitated by the integration of Headwall’s high-performance hyperspectral imaging systems with GRYFN’s advanced software and calibration technologies. This will result in a complete airborne sensing solution that simplifies data acquisition, processing, and analysis while maintaining the highest levels of accuracy and reliability. Some of the key features of this partnership include:

  1. Integrating Headwall’s hyperspectral imaging systems with GRYFN’s advanced software and calibration technologies.

    This will result in a complete airborne sensing solution that simplifies data acquisition, processing, and analysis while maintaining the highest levels of accuracy and reliability.

  2. Offering the GRYFN Processing Tool, an intuitive software solution that integrates UAV-based hyperspectral, LiDAR, and GNSS data.

    This tool streamlines job management, automates workflows, and enables efficient multi-modal data processing.

  3. Providing GRYFN’s geometric calibration technology, which eliminates the need for ground control points by specifying sensor parameters, optical characteristics, and platform positioning.

    This ensures unmatched precision for multi-temporal analytics.

As part of the agreement, Headwall will be exhibiting in Booth 1523 at SPIE Defense + Commercial Sensing, a premier annual event for researchers and commercial practitioners of remote-sensing technology, from April 13-17, 2025 in Florida. This event will provide an opportunity for industry professionals to experience the benefits of the partnership and learn more about the integrated solution.

Headwall Photonics GRYFN
Global Leader in Hyperspectral Imaging Pioneer in Multi-Modal Sensing Solutions

Headwall Photonics is a world leader in hyperspectral imaging and spectral instrumentation, providing cutting-edge solutions for industries such as precision agriculture, environmental monitoring, and defense. The company is an Esri Bronze Partner and an NV5 Value-Added Provider of ENVI software.

GRYFN
Multi-Modal Sensing Solutions
Based in West Lafayette, Indiana, USA

GRYFN specializes in multi-modal sensing solutions designed for the global research market. Its high-precision UAV-based systems integrate Hyperspectral, LiDAR, GNSS, and RGB sensors, while its advanced data processing tools transform complex, multi-temporal datasets into actionable insights.

Headwall Photonics
Hyperspectral Imaging
A Global Standard for High-Performance Hyperspectral Imaging

The partnership between Headwall Photonics and GRYFN will make it easier for industries to access high-quality hyperspectral data and streamline their data collection and processing workflows. This will ultimately enhance the precision of their remote sensing applications and enable real-time decision-making.

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