CrowNet: a trail-camera canopy monitoring system
Description
The dataset reported data from CrowNet (https://canopyphotography.wordpress.com/crownet), a collaborative monitoring network , based on acquiring below-canopy continuous images using the time-lapse feature of standard digital trail cameras. Data were acquired in 20 forest stands in Italy under different management and environmental conditions, resulting in over 44,000 daily images collected over three years.
Files
Steps to reproduce
Methods proposed in Chianucci, Francesco, Sofia Bajocco, and Carlotta Ferrara. "Continuous observations of forest canopy structure using low-cost digital camera traps." Agricultural and Forest Meteorology 307 (2021): 108516. https://doi.org/10.1016/j.agrformet.2021.108516. Image processing performed using the "coveR" package in R, described in Chianucci, F., Ferrara, C. & Puletti, N. coveR: an R package for processing digital cover photography images to retrieve forest canopy attributes. Trees 36, 1933–1942 (2022). https://doi.org/10.1007/s00468-022-02338-5
Institutions
- Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria