Video and accelerometer tree sway data for two ponderosa pine trees in the Manitou Experimental Forest, Colorado

This repository includes video, accelerometer, and sway frequency data for two ponderosa pine trees (Pinus ponderosa, PIPO) in the Manitou Experimental Forest in Colorado. Video and accelerometer samples were selected from data recorded between May and September 2020. Sway frequency data for both trees was extracted from both video and accelerometer data using the methods described in Ammatelli et al. (In review).

All times are in Mountain Daylight Time.

Video Data 

The three, 30 s videos were recorded using a video camera attached to the top of a nearby tower. 

Video camera: GoPro camera, 30 fps, 1080p resolution, 155° FOV

Approximate pixel bounding boxes (ymin, ymax, xmin, xmax):

Tree 1: (440, 520, 395, 425)

Tree 2: (400, 575, 690, 760)

File naming convention: manitou-X.MP4 where X the video ID (a,b,c)

Date and time

manitou-a.MP4 (2020-8-15 12:05:58)

manitou-b.MP4 (2020-8-20 17:28:9)

manitou-c.MP4 (2020-8-31 11:50:20)

Accelerometer Data

Accelerometer data for both trees was recorded using a 3-axis accelerometer. The accelerometers were positioned ~6-8 m above the ground (total tree height ~8-10 m).

Accelerometer: Gulf Coast Data Concepts 2g MEL-X2,16 Hz continuous sampling

File naming convention: manitou_accelerometer_X_treeY.csv where X is the video ID (a,b,c) and Y is the tree number (1,2)

Variables:

datetime - time of acceleration sample (MDT)

Ax - raw acceleration along X-axis of sensor

Ay - raw acceleration along Y-axis of sensor

Az - raw acceleration along Z-axis of sensor

Sway Frequency Data

For each video and tree, the tree's sway frequency was extracted from the video and two lengths of accelerometer data: a segment with the same start time and duration as the video and a 30-minute segment.

File naming convention: manitou_sway_treeY.csv where Y is the tree number (1,2)

Variables:

name - name of video sample

datetime - start time of video sample

vvs_avg_hz - frequency (Hz) of tree extracted using VVS method with average spectrum aggregation

vvs_hist_hz - frequency (Hz) of tree extracted using VVS method with peak frequency histogram aggregation

acc_30sec_hz - frequency (Hz) of tree extracted from an accelerometer segment with the same start time and duration as the video

acc_30min_hz - frequency (Hz) of tree extracted from a 30-minute accelerometer segment centered on the video start time

See the below paper for more information.

Bush, S. A. (2022). Ecohydrologic Processes in the Montane Headwaters of the Upper South
Platte River (Doctoral dissertation). Retrieved from ProQuest Dissertations Publishing. (cub.b12869881). Boulder, CO: University of Colorado at Boulder.

本数据集仓库包含美国科罗拉多州曼图阿实验林中两株黄松（Pinus ponderosa, PIPO）的视频、加速度计（accelerometer）与摆动频率（sway frequency）数据。视频与加速度计样本选自2020年5月至9月间记录的原始数据；两株树木的摆动频率数据均通过Ammatelli等人（已投稿待刊）所述方法，从视频与加速度计数据中提取。所有时间均采用山地夏令时（Mountain Daylight Time, MDT）。

### 视频数据
本次共录制3段时长30秒的视频，均采用安装于附近塔架顶部的摄像机拍摄。
摄像机参数：GoPro相机，帧率30fps，分辨率1080p，视场角（Field of View, FOV）155°。

近似像素边界框（ymin, ymax, xmin, xmax）：
树1: (440, 520, 395, 425)
树2: (400, 575, 690, 760)

文件命名规则：manitou-X.MP4，其中X为视频ID（a、b、c）。

录制日期与时间：
manitou-a.MP4 (2020-8-15 12:05:58)
manitou-b.MP4 (2020-8-20 17:28:9)
manitou-c.MP4 (2020-8-31 11:50:20)

### 加速度计数据
两株树木的加速度数据均采用3轴加速度计记录，传感器安装位置距地面约6-8米（树木总高度约8-10米）。
加速度计型号：Gulf Coast Data Concepts 2g MEL-X2，连续采样频率16Hz。

文件命名规则：manitou_accelerometer_X_treeY.csv，其中X为视频ID（a、b、c），Y为树木编号（1、2）。

变量说明：
datetime - 加速度采样时间（MDT）
Ax - 传感器X轴原始加速度
Ay - 传感器Y轴原始加速度
Az - 传感器Z轴原始加速度

### 摆动频率数据
针对每个视频与树木，我们从视频以及两段加速度计数据中提取树木摆动频率：一段为与视频时长、起始时间完全一致的加速度片段，另一段为30分钟时长的加速度片段。

文件命名规则：manitou_sway_treeY.csv，其中Y为树木编号（1、2）。

变量说明：
name - 视频样本名称
datetime - 视频样本起始时间
vvs_avg_hz - 通过平均频谱聚合的VVS方法提取的树木摆动频率（单位：Hz）
vvs_hist_hz - 通过峰值频率直方图聚合的VVS方法提取的树木摆动频率（单位：Hz）
acc_30sec_hz - 从与视频时长、起始时间一致的加速度片段提取的树木摆动频率（单位：Hz）
acc_30min_hz - 从以视频起始时间为中心的30分钟加速度片段提取的树木摆动频率（单位：Hz）

如需了解更多信息，请参阅以下论文：
Bush, S. A. (2022). 《上南普拉特河山地源头的生态水文过程》（博士学位论文）. 摘自ProQuest学位论文库。(cub.b12869881). 科罗拉多州博尔德：科罗拉多大学博尔德分校。