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Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR

  • Published:2019-11 Issue: Volume:233 Page:111355
  • ISSN:0034-4257
  • Container-title:Remote Sensing of Environment
  • language:en
  • Short-container-title:Remote Sensing of Environment

Author:

Brede BenjaminORCID,Calders KimORCID,Lau AlvaroORCID,Raumonen Pasi,Bartholomeus Harm M.,Herold Martin,Kooistra Lammert

Funder

European Space Agency

BELSPO

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Ministry of Agriculture and Forestry of Finland

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference52 articles.

1. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps;Baccini;Nat. Clim. Chang.,2012

2. Single-tree detection in high-density LiDAR data from UAV-based survey;Balsi;Eur. J. Remote. Sens.,2018

3. Random forest in remote sensing: a review of applications and future directions;Belgiu;ISPRS J. Photogramm. Remote Sens.,2016

4. The Speulderbos Fiducial Reference Site for Continuous Monitoring of Forest Biophysical Variables;Brede,2016

5. Comparing RIEGL RiCOPTER UAV LiDAR derived canopy height and DBH with terrestrial LiDAR;Brede;Sensors,2017

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