Literature DB >> 15224932

Assessment of crown condition in eucalypt vegetation by remotely sensed optical indices.

Nicholas C Coops1, Christine Stone, Darius S Culvenor, Laurie Chisholm.   

Abstract

Leaf and crown damage and discoloration characteristics are important variables when defining the health of eucalypt tree species and have been used as key indicators of environmental quality. These indicators can vary significantly over a few hectares, especially in mixed-species forests, making field-based environmental surveillance of crown condition an extremely expensive and logistically impractical task. Reflectance in narrow spectral wavelengths obtained from a field-based spectroradiometer and a Compact Airborne Spectrographic Imager 2 (CASI-2) were collected over eucalypt vegetation of varying condition in southeastern Australia and compared with leaf- and crown-based attributes including percent red foliage discoloration, percent leaf damage, and crown density and crown foliage condition. Of the leaf attributes sampled, percent leaf damage was well correlated with a red-green spectral index (r = 0.68, p < 0.01), and percent red discoloration was well correlated with the slope of the red-edge for selected species (r = 0.89, p < 0.001). Within-tree crown density was well correlated with the slope of the red-edge (r = 0.77, p < 0.001) and a previously published index of plant stress with crown foliage condition (r = 0.88, p < 0.01) for selected species. Despite evidence of strong interspecific variability, a set of narrow spectral wavelengths in the visible and near-infrared regions of the spectrum have been identified that will be useful in the development of forest ecosystem environmental quality indicators.

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Year:  2004        PMID: 15224932     DOI: 10.2134/jeq2004.0956

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  2 in total

1.  Assessing Steady-state Fluorescence and PRI from Hyperspectral Proximal Sensing as Early Indicators of Plant Stress: The Case of Ozone Exposure.

Authors:  Michele Meroni; Micol Rossini; Valentina Picchi; Cinzia Panigada; Sergio Cogliati; Cristina Nali; Roberto Colombo
Journal:  Sensors (Basel)       Date:  2008-03-13       Impact factor: 3.576

2.  Hyperspectral imaging to characterize plant-plant communication in response to insect herbivory.

Authors:  Leandro do Prado Ribeiro; Adriana Lídia Santana Klock; João Américo Wordell Filho; Marco Aurélio Tramontin; Marília Almeida Trapp; Axel Mithöfer; Christian Nansen
Journal:  Plant Methods       Date:  2018-07-06       Impact factor: 4.993

  2 in total

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