TITLE: Phenocamera RGB daily average image composite collection from Skogaryd Central, western Sweden.
SITES STATION: Skogaryd Research Catchment
TIME PERIOD: 2019-01-03 10:00:00 - 2019-12-31 14:00:00
TIME RESOLUTION: DAILY
TIME ZONE: UTC +1 
SAMPLING POINT: Skogaryd Central, Mast 1 phenocam 
LATITUDE: 58.363058
LONGITUDE: 12.14965
ALTITUDE: 76.4 m a.s.l.

FILE RETRIVED FROM: https://data.fieldsites.se Link to metadata landing page is available in separate file in the downloaded zip.
DATA POLICY: SITES data is licensed under a Creative Commons Attribution 4.0 international license (http://creativecommons.org/licenses/by/4.0/).

PARAMETERS & UNITS: Digital Numbers (DN)

DESCRIPTION: 
Collection of phenocamera RGB image composites averaged daily from quality-filtered images from 10 a.m. to 2 p.m. 
The phenocamera pointed to a grown spruce forest (Picea abies), with tree heights of 30 m, approximately. 

SENSOR DESCRIPTION:
Data acquired with Mobotix M25 RGB phenology camera, with wide field of view (FOV) angle of 60 degrees. Images stored in JPG format. 

DATA ACQUISITION:
The original images were acquired with phenology camera on an observation mast, at a height of 38 m above ground, looking south (185 degrees) and an off-nadir angle of 38 degrees. The phenocamera acquired images from 4 a.m. to 8 p.m. every hour. The phenocamera operates all year long.  
The area surveyed by the phenocamera projects a footprint on the ground, the centroid of which is approximately defined by the following coordinate (latitude, longitude in GCS WGS84, decimal degrees): 58.363058, 12.14965.

PROCESSING METHODS:
Low quality images were filtered out manually from the original image collection. Low quality refers to images that contain sun glare, rain droplets, fog, or shadows, or represent low-light or blurry conditions.
For phenology purposes, all images from 10 a.m. to 2 p.m. were averaged per band (RGB) and pixel, daily. RGB image composites were exported with the same image properties (number of bands and data type) like the original.

REFERENCES
Richardson, Andrew D., Koen Hufkens, Tom Milliman, Donald M. Aubrecht, Min Chen, Josh M. Gray, Miriam R. Johnston et al. "Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery." Scientific data 5 (2018): 180028.







