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High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision

Dandois, Jonathan P. ; Ellis, Erle C.

Remote sensing of environment, 2013-09, Vol.136, p.259-276 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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Título:
High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision
Autor: Dandois, Jonathan P. ; Ellis, Erle C.
Assuntos: Aerials ; Animal, plant and microbial ecology ; Applied geophysics ; Biological and medical sciences ; Canopies ; Canopy height ; Canopy phenology ; Canopy structure ; Computer vision ; Density ; Dynamics ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Forest biomass ; Forest carbon ; Forest ecology ; Forest monitoring ; Forest structure ; Forestry ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; Internal geophysics ; Liriodendron tulipifera ; Phenology ; Spectra ; Teledetection and vegetation maps ; Three dimensional ; Three dimensional models ; Tree height ; UAS ; UAV ; Unmanned aerial systems ; Unmanned aerial vehicle ; Vegetation
É parte de: Remote sensing of environment, 2013-09, Vol.136, p.259-276
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: High spatial resolution three-dimensional (3D) measurements of vegetation by remote sensing are advancing ecological research and environmental management. However, substantial economic and logistical costs limit this application, especially for observing phenological dynamics in ecosystem structure and spectral traits. Here we demonstrate a new aerial remote sensing system enabling routine and inexpensive aerial 3D measurements of canopy structure and spectral attributes, with properties similar to those of LIDAR, but with RGB (red-green-blue) spectral attributes for each point, enabling high frequency observations within a single growing season. This “Ecosynth” methodology applies photogrammetric “Structure from Motion” computer vision algorithms to large sets of highly overlapping low altitude (<130m) aerial photographs acquired using off-the-shelf digital cameras mounted on an inexpensive (
Editor: New York, NY: Elsevier Inc
Idioma: Inglês

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High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision

Dandois, Jonathan P. ; Ellis, Erle C.

New York, NY: Elsevier Inc

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