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In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
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Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
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Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
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TLSLeAF: automatic leaf angle estimates from single-scan terrestrial laser scanning.

Atticus E L Stovall1,2,3, Benjamin Masters3, Lola Fatoyinbo1

  • 1Biospheric Sciences Lab, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA.

The New Phytologist
|June 10, 2021
PubMed
Summary
This summary is machine-generated.

A new method, TLSLeAF, uses terrestrial laser scanning to accurately measure forest canopy leaf angle distribution (LAD). This improves estimates of photosynthesis and chlorophyll fluorescence, challenging simplified LAD assumptions.

Keywords:
3Dforestleaf angle distribution (LAD)light detection and ranging (LiDAR)radiative transfer modelterrestrial laser scanning (TLS)trees

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Area of Science:

  • Forest ecology
  • Remote sensing
  • Ecosystem modeling

Background:

  • Leaf angle distribution (LAD) is crucial for canopy function but often oversimplified.
  • Existing methods for deriving LAD are limited in speed and accuracy.
  • Accurate LAD is essential for understanding light interception and photosynthesis.

Purpose of the Study:

  • To introduce TLSLeAF, an automated open-source method for deriving LAD from terrestrial laser scanning (TLS).
  • To improve the accuracy and efficiency of LAD estimation in forest canopies.
  • To challenge the common spherical LAD assumption and highlight ecosystem-specific variations.

Main Methods:

  • Developed TLSLeAF, an automated R package utilizing gridded TLS data.
  • Implemented leaf-wood classification and beta parameter output.
  • Validated precise leaf angle estimation with minimal distance effects.

Main Results:

  • TLSLeAF rapidly produces canopy-scale leaf angle and LADs.
  • Ecosystem-specific LADs led to significant increases in plant area index (c. 25%) and foliage profile estimates.
  • Canopy net photosynthesis (c. 25%) and solar-induced chlorophyll fluorescence (c. 11%) estimates improved.

Conclusions:

  • TLSLeAF offers an accessible and efficient tool for deriving accurate LAD from TLS data.
  • The method's ease of use promotes wider adoption in ecological research and ecosystem modeling.
  • Accurate, ecosystem-specific LADs are vital for precise estimations of canopy function and global-scale processes.