Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences
| Autor: | Jeffrey S. Deems, Lee A. Vierling, Troy S. Magney, Gottfried Mandlburger, Antonio Abellán, Bernhard Höfle, Douglas C. Morton, Gregory P. Asner, Jan U. H. Eitel, Kerri T. Vierling, Jörg Müller, Craig Glennie, Philip C. Joerg, A. L. LeWinter |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Lidar remote sensing
Brightness 010504 meteorology & atmospheric sciences Light detection Ecology Spectrum (functional analysis) 0211 other engineering and technologies Soil Science Geology Ranging 02 engineering and technology 01 natural sciences Lidar Computers in Earth Sciences Dimension (data warehouse) 021101 geological & geomatics engineering 0105 earth and related environmental sciences Curse of dimensionality Remote sensing |
| Zdroj: | Remote Sensing of Environment. 186:372-392 |
| ISSN: | 0034-4257 |
| DOI: | 10.1016/j.rse.2016.08.018 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect