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Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences

  • Jan U.H. Eitel
  • , Bernhard Höfle
  • , Lee A. Vierling
  • , Antonio Abellán
  • , Gregory P. Asner
  • , Jeffrey S. Deems
  • , Craig L. Glennie
  • , Philip C. Joerg
  • , Adam L. LeWinter
  • , Troy S. Magney
  • , Gottfried Mandlburger
  • , Douglas C. Morton
  • , Jörg Müller
  • , Kerri T. Vierling
  • University of Idaho
  • Heidelberg University 
  • University of Lausanne
  • Carnegie Institution of Washington
  • University of Colorado Boulder
  • University of Houston
  • University of Zurich
  • United States Army Engineer Research and Development Center
  • TU Wien
  • NASA Goddard Space Flight Center
  • Bavarian Forest National Park
  • University of Würzburg

Research output: Contribution to journalReview articlepeer-review

298 Scopus citations

Abstract

Capturing and quantifying the world in three dimensions (x,y,z) using light detection and ranging (lidar) technology drives fundamental advances in the Earth and Ecological Sciences (EES). However, additional lidar dimensions offer the possibility to transcend basic 3-D mapping capabilities, including i) the physical time (t) dimension from repeat lidar acquisition and ii) laser return intensity (LRIλ) data dimension based on the brightness of single- or multi-wavelength (λ) laser returns. The additional dimensions thus add to the x,y, and z dimensions to constitute the five dimensions of lidar (x,y,z, t, LRIλ1… λn). This broader spectrum of lidar dimensionality has already revealed new insights across multiple EES topics, and will enable a wide range of new research and applications. Here, we review recent advances based on repeat lidar collections and analysis of LRI data to highlight novel applications of lidar remote sensing beyond 3-D. Our review outlines the potential and current challenges of time and LRI information from lidar sensors to expand the scope of research applications and insights across the full range of EES applications.

Original languageEnglish
Pages (from-to)372-392
Number of pages21
JournalRemote Sensing of Environment
Volume186
DOIs
StatePublished - Dec 1 2016

Keywords

  • Data dimensions
  • Hyperspectral lidar
  • Hypertemporal lidar
  • Laser return intensity
  • Multispectral lidar
  • Multitemporal lidar

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