@inproceedings{2f0adccc9984479c834e825c0ef7a296,
title = "Aboveground biomass estimation in tropical forests at single tree level with ALS data",
abstract = "In this paper we present a study on the estimation of the aboveground biomass in tropical forests at single tree level using airborne laser scanning (ALS) data. Individual tree crowns (ITCs) are firstly detected using a method based on an adaptive window that change its size according to tree height. The diameter at breast height (DBH) and the aboveground biomass (AGB) of each ITC then are predicted using standard allometric models. Lastly, the AGB values are aggregated at plot level, and compared with field measured values. The results show that it is possible to accurately predict the aboveground biomass of tropical forests at single tree level using ALS data.",
keywords = "aboveground biomass, ALS, LiDAR, tropical forest",
author = "Michele Dalponte and Tommaso Jucker and Burslem, {David F R P} and Lewis, {Simon L.} and Reuben Nilus and Oliver Phillips and Lan Qie and Coomes, {David A.}",
year = "2016",
month = nov,
day = "1",
doi = "10.1109/IGARSS.2016.7730390",
language = "English",
volume = "2016-November",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5334--5337",
booktitle = "2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings",
address = "United States",
note = "36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",
}