Literature DB >> 16773230

Hyperspectral characteristics of canopy components and structure for phenological assessment of an invasive weed.

Shaokui Ge1, James Everitt, Raymond Carruthers, Peng Gong, Gerald Anderson.   

Abstract

Spectral reflectance values of four canopy components (stems, buds, opening flowers, and postflowers of yellow starthistle (Centaurea solstitialis)) were measured to describe their spectral characteristics. We then physically combined these canopy components to simulate the flowering stage indicated by accumulated flower ratios (AFR) 10%, 40%, 70%, and 90%, respectively. Spectral dissimilarity and spectral angles were calculated to quantitatively identify spectral differences among canopy components and characteristic patterns of these flowering stages. This study demonstrated the ability of hyperspectral data to characterize canopy components, and identify different flowering stages. Stems had a typical spectral profile of green vegetation, which produced a spectral dissimilarity with three reproduction organs (buds, opening flowers, and postflowers). Quantitative differences between simulated flower stages depended on spectral regions and phenological stages examined. Using full-range canopy spectra, the initial flowering stage could be separated from the early peak, peak, and late flowering stages by three spectral regions, i.e. the blue absorption (around 480 nm) and red absorption (around 650 nm) regions and NIR plateau from 730 nm to 950 nm. For airborne CASI data, only the red absorption region and NIR plateau could be used to identify the flowering stages in the field. This study also revealed that the peak flowering stage was more easily recognized than any of the other three stages.

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Year:  2006        PMID: 16773230     DOI: 10.1007/s10661-005-9052-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Ecosystem carbon loss with woody plant invasion of grasslands.

Authors:  Robert B Jackson; Jay L Banner; Esteban G Jobbágy; William T Pockman; Diana H Wall
Journal:  Nature       Date:  2002-08-08       Impact factor: 49.962

2.  Impacts of biological invasions on disturbance regimes.

Authors:  M C Mack; C M D'Antonio
Journal:  Trends Ecol Evol       Date:  1998-05       Impact factor: 17.712

  2 in total
  2 in total

1.  Canopy assessment of biochemical features by ground-based hyperspectral data for an invasive species, giant reed (Arundo donax).

Authors:  Shaokui Ge; Raymond I Carruthers; David F Spencer; Qian Yu
Journal:  Environ Monit Assess       Date:  2008-01-22       Impact factor: 2.513

2.  Timing Is Important: Unmanned Aircraft vs. Satellite Imagery in Plant Invasion Monitoring.

Authors:  Jana Müllerová; Josef Brůna; Tomáš Bartaloš; Petr Dvořák; Michaela Vítková; Petr Pyšek
Journal:  Front Plant Sci       Date:  2017-05-31       Impact factor: 5.753

  2 in total

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