Aboveground biomass estimation in tropical forests at single tree level with ALS data

Michele Dalponte, Tommaso Jucker, David F R P Burslem, Simon L. Lewis, Reuben Nilus, Oliver Phillips, Lan Qie, David A. Coomes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5334-5337
Number of pages4
Volume2016-November
ISBN (Electronic)9781509033324
DOIs
Publication statusPublished - 1 Nov 2016
Event36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China
Duration: 10 Jul 201615 Jul 2016

Publication series

Name
ISSN (Electronic)2153-7003

Conference

Conference36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
CountryChina
CityBeijing
Period10/07/1615/07/16

Keywords

  • aboveground biomass
  • ALS
  • LiDAR
  • tropical forest

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