4.4 Article

Weighing trees with lasers: advances, challenges and opportunities

期刊

INTERFACE FOCUS
卷 8, 期 2, 页码 -

出版社

ROYAL SOC
DOI: 10.1098/rsfs.2017.0048

关键词

above-ground biomass; terrestrial laser scanning; lidar; canopy; structure; buttress

类别

资金

  1. NERC NCEO
  2. NERC [NE/N00373X/1, NE/P011780/1]
  3. CNRS Nouragues Travel Grants Program
  4. ESA BIOMASS
  5. NERC GREENHOUSE [NE/K002554/1]
  6. European Union's Horizon research and innovation programme [640176]
  7. NERC CASE PhD studentship
  8. EADS Astrium [NE/J016926/1]
  9. National Council of Technological and Scientific Development-Brazil [233849/2014-9]
  10. Metrology for Earth Observation and Climate Project (MetEOC-2) within the European Metrology Research Programme (EMRP) - EMRP
  11. European Union [ENV55]
  12. Natural Environment Research Council [nceo020002, NE/N00373X/1, NE/P011780/1, 1201745, nceo020005] Funding Source: researchfish
  13. NERC [nceo020005, NE/N00373X/1, NE/P011780/1, nceo020002] Funding Source: UKRI

向作者/读者索取更多资源

Terrestrial laser scanning (TLS) is providing exciting new ways to quantify tree and forest structure, particularly above-ground biomass (AGB). We show how TLS can address some of the key uncertainties and limitations of current approaches to estimating AGB based on empirical allometric scaling equations (ASEs) that underpin all large-scale estimates of AGB. TLS provides extremely detailed non-destructive measurements of tree form independent of tree size and shape. We show examples of three-dimensional (3D) TLS measurements from various tropical and temperate forests and describe how the resulting TLS point clouds can be used to produce quantitative 3D models of branch and trunk size, shape and distribution. These models can drastically improve estimates of AGB, provide new, improved large-scale ASEs, and deliver insights into a range of fundamental tree properties related to structure. Large quantities of detailed measurements of individual 3D tree structure also have the potential to open new and exciting avenues of research in areas where difficulties of measurement have until now prevented statistical approaches to detecting and understanding underlying patterns of scaling, form and function. We discuss these opportunities and some of the challenges that remain to be overcome to enable wider adoption of TLS methods.

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