Michele Tobias shares insights on using publicly available data for remote sensing of sandy beaches, emphasizing the challenges of traditional data collection methods and the potential of open-source tools.

Highlights 🌊 Focus on Beach Remote Sensing: Utilizing open data to analyze coastal ecosystems. 📊 Challenges of Traditional Methods: Fieldwork is costly and time-consuming, with limited sampling frequency. 🚁 Limitations of Aerial Imagery: Custom flights and drones face logistical and regulatory hurdles. 💻 Tools Used: Primarily R with Terra and SF packages for data analysis. 🌱 Importance of Vegetation: Small plants play a crucial role in beach ecology and dune formation. 📈 Data Quality: Sentinel imagery provides lower resolution, impacting vegetation detection quality. 🔍 Future Directions: Need for improved methodologies and better data resolution for effective environmental monitoring.

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#RemoteSensing #BeachEcology #OpenData #DataScience #CoastalResearch #EnvironmentalMonitoring #GIS