Ponderosa Pine Tree Sway Data from Video and Accelerometers in Colorado

Joseph Ammatelli from the University of Washington provides video and accelerometer data for two ponderosa pine trees in the Manitou Experimental Forest, Colorado. The data includes three 30-second videos and corresponding accelerometer recordings from May to September 2020, with derived sway frequency measurements. Sway frequencies were extracted using Video Vibration Spectroscopy (VVS) and accelerometer analysis methods.

Use Cases

• Analyzing tree sway frequency and motion patterns based on video and accelerometer data.
• Comparing video-based and accelerometer-based methods for extracting tree sway frequencies.
• Studying the biomechanical response of ponderosa pines to environmental forces like wind.
• Developing or validating algorithms for non-contact tree vibration measurement.

Strengths

• Includes three 30-second video clips at 30 fps and 1080p resolution.
• Accelerometer data is recorded at 16 Hz continuous sampling for both trees.
• Provides derived sway frequency data from both video and accelerometer sources for direct comparison.

Limitations

• Row count and total file size are unknown, which may limit suitability assessment.
• Column-level documentation for the raw accelerometer data is absent; field semantics must be inferred after download.
• Data is from only two trees over a limited time range, which may affect generalizability.

Provenance

Source

University of Washington

Collection Method

Video recorded with a GoPro camera and acceleration measured with Gulf Coast Data Concepts 2g MEL-X2 accelerometers.

Time Range

May to September 2020

Geography

Manitou Experimental Forest, Colorado, USA