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Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
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Special Issue on GNSS Data Processing and Navigation.

Adria Rovira-Garcia1, José Miguel Juan Zornoza1

  • 1Research Group of Astronomy and Geomatics (gAGE), Department Physics, Universitat Politècnica de Catalunya (UPC), 08034 Barcelona, Spain.

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This summary is machine-generated.

Global Navigation Satellite System (GNSS) data has expanded applications beyond its original design. This special issue explores diverse GNSS research, processing, and navigation advancements.

Keywords:
GNSS modelsalgorithms and techniqueshigh accuracy navigationionospherejammingmultipathorbit and clock determinationsignal acquisition and tracking

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Area of Science:

  • Geomatics and Geospatial Science
  • Satellite Navigation Systems
  • Data Processing and Analysis

Background:

  • Global Navigation Satellite System (GNSS) technology has evolved significantly beyond its initial navigation purposes.
  • The increasing volume and complexity of GNSS data necessitate advanced processing techniques.
  • Current research encompasses a broad spectrum of applications, from precision positioning to environmental monitoring.

Discussion:

  • This editorial synthesizes 14 contributions within a special issue focused on GNSS data processing and navigation.
  • The compiled research is categorized into four distinct yet interconnected thematic areas.
  • The discussions highlight the interdisciplinary nature of modern GNSS research.

Key Insights:

  • GNSS applications now far surpass the original scope, demonstrating the system's versatility.
  • Advanced data processing is crucial for unlocking the full potential of GNSS.
  • The special issue showcases cutting-edge international contributions to GNSS research.

Outlook:

  • Future GNSS research will likely explore novel applications and integration with other sensor technologies.
  • Continued advancements in data processing algorithms will enhance accuracy and reliability.
  • The evolution of GNSS is critical for fields ranging from autonomous systems to scientific research.