This study uses Flickr data and remote sensing technologies to identify forest biometric and topographic data to map and estimate recreational potential of British Columbia’s provincial park system. Potential recreation and consumer surplus are mapped in Cypress Provincial Park using variables that influence visitors’ preferences for recreational activities. A machine learning approach called convolutional neural network (CNN) was used to filter Flickr images. The CNN was found to perform best in the classification of images depicting hiking, wildlife, skiing, and biking, but not as well for images depicting camping. The analysis also revealed that consumer surplus in Cypress Provincial Park was primarily concentrated in two hotspots.
Lingua, F., Coops, N.C. and Griess, V.C. 2023. Assessing forest recreational potential from social media data and remote sensing technologies data. Ecological Indicators 149, 110165.