UNDERCOVEREISAGENTEN - INTEGRATING LOW-COST UAVS AND COMMUNITY INSIGHTS FOR ENHANCED PERMAFROST MONITORING

• Published in: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
• Main Authors: Mueller, Marlin M., Dietenberger, Steffen, Nestler, Maximilian, Dubois, Clemence, Kaiser, Soraya, Lenz, Josefine, Langer, Moritz, Fritz, Oliver, Marx, Sabrina, Thiel, Christian
• Format: Conference Object
• Language: unknown
• Published: IEEE 2024
• Subjects: Institut für Datenwissenschaften; Datenanalyse und -intelligenz; Arctic; Ice; permafrost; wedge*
• Online Access: https://elib.dlr.de/211013/; https://ieeexplore.ieee.org/document/10642540

This study investigates the integration of low-cost unoccupied aerial vehicles (UAVs) and community engagement in permafrost monitoring. Utilizing novel UAV flight patterns and crowdsourced data analysis, including a Convolutional Neural Network (CNN), the study enhances digital surface models (DSMs) for identifying ice-wedge polygons. Conducted in rapidly changing Arctic regions, it demonstrates an overall accuracy of 74.56% in feature detection. This approach offers improved resolution in environmental monitoring and suggests potential for broader application and rapid disaster response through community-sourced scientific analysis and consumer UAVs.