@article{155d81c6eb864874ad9793ab93e96766,
title = "Canopy height Mapper: A google earth engine application for predicting global canopy heights combining GEDI with multi-source data",
keywords = "Forest monitoring, GEE web app, Local-to-country calibrated model, Machine learning, Remote sensing, Sentinel, 4112 Forestry, 1171 Geosciences, 113 Computer and information sciences",
author = "Cesar Alvites and Hannah O'Sullivan and Saverio Francini and Marco Marchetti and Giovanni Santopuoli and Gherardo Chirici and Bruno Lasserre and Michela Marignani and Erika Bazzato",
year = "2025",
month = jan,
doi = "10.1016/j.envsoft.2024.106268",
language = "English",
volume = "183",
journal = "Environmental Modelling \& Software",
issn = "1364-8152",
publisher = "Elsevier Ltd. ",
}