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