Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep learning method to time-series images of tree canopies

Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep learning method to time-series images of tree canopiesDOI: info:10.1016/j.isprsjprs.2021.10.023v. 183Elsevier19–33
Song, Guangqin, Wu, Shengbiao, Lee, Calvin K. F., Serbin, Shawn P., Wolfe, Brett T., Ng, Michael K., Ely, Kim S., Bogonovich, Marc, Wang, Jing, Lin, Ziyu, Saleska, Scott, Nelson, Bruce W., Rogers, Alistair, and Wu, Jin. 2022. "Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep learning method to time-series images of tree canopies." ISPRS Journal of Photogrammetry and Remote Sensing, 183 19–33. https://doi.org/10.1016/j.isprsjprs.2021.10.023.
ID: 161256
Type: article
Keywords: stri