4.7 Article

Data acquisition considerations for Terrestrial Laser Scanning of forest plots

期刊

REMOTE SENSING OF ENVIRONMENT
卷 196, 期 -, 页码 140-153

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2017.04.030

关键词

Terrestrial Laser Scanning; Forests; Data acquisition protocol; Above Ground Biomass; Tree structure

资金

  1. NERC National Centre for Earth Observation
  2. NERC GREENHOUSE [NE/K002554/1]
  3. European Space Agency through the BIOMASS mission
  4. Metrology for Earth Observation and Climate (MetEOC-2) within the European Metrology Research Programme (EMRP) [ENV55]
  5. EMRP within EURAMET
  6. European Union
  7. NERC [NE/N00373X/1]
  8. US-Silvacarbon research project [14-IG-11132762-350]
  9. Norwegian Agency for Development Cooperation (NORAD)
  10. Germany's International Climate Initiative (IKI) through CIFORs Global Comparative Study on REDD+
  11. CGIAR Research Program on Forests, Trees and Agroforestry (CRP-FTA)
  12. CGIAR Fund
  13. IDEAS+ project - ESA-ESRIN
  14. NERC [nceo020002, NE/P011780/1, NE/N00373X/1, nceo020005] Funding Source: UKRI
  15. Natural Environment Research Council [NE/N00373X/1, NE/P011780/1, 1201745, nceo020005, nceo020002] Funding Source: researchfish

向作者/读者索取更多资源

The poor constraint of forest Above Ground Biomass (AGB) is responsible, in part, for large uncertainties in modelling future climate scenarios. Terrestrial Laser Scanning (TLS) can be used to derive unbiased and non-destructive estimates of tree structure and volume and can, therefore, be used to address key uncertainties in forest AGB estimates. Here we review our experience of TLS sampling strategies from 27 campaigns conducted over the past 5 years, across tropical and temperate forest plots, where data was captured with a RIEGL VZ-400 laser scanner. The focus is on strategies to derive Geometrical Modelling metrics (e.g. tree volume) over forest plots (>= 1 ha) which require the accurate co-registration of 10s to 100s of individual point clouds. We recommend a 10 m x 10 m sampling grid as an approach to produce a point cloud with a uniform point distribution, that can resolve higher order branches (down to a few cm in diameter) towards the top of 30+ m canopies and can be captured in a timely fashion i.e. (similar to)3-6 days per ha. A data acquisition protocol, such as presented here, would facilitate data interoperability and inter-comparison of metrics between instruments/groups, from plot to plot and over time. (C) 2017 The Authors. Published by Elsevier Inc.

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