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Updated: Dec 13, 2025

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

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.

Sensors (Basel, Switzerland)

|July 30, 2020

Summary

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 models algorithms and techniques high accuracy navigation ionosphere jamming multipath orbit and clock determination signal 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.