Literature DB >> 17072550

Canopy spectra and remote sensing of Ashe juniper and associated vegetation.

J H Everitt1, C Yang, H B Johnson.   

Abstract

A study was conducted in central Texas to determine the potential of using remote sensing technology to distinguish Ashe juniper (Juniperus ashei Buchholz) infestations on rangelands. Plant canopy reflectance measurements showed that Ashe juniper had lower near-infrared reflectance than other associated woody plant species and lower visible reflectance than mixed herbaceous species in spring and summer. Ashe juniper could be distinguished on color-infrared aerial photographs acquired in March, April, June, and August and on QuickBird false color satellite imagery obtained in June, where it had a distinct dark reddish-brown tonal response. Unsupervised classification techniques were used to classify aerial photographic and satellite imagery of study sites. An accuracy assessment performed on a computer classified map of a photographic image showed that Ashe juniper had producer's and user's accuracies of 100% and 92.9%, respectively, whereas an accuracy assessment performed on a classified map of a satellite image of the same site showed that Ashe juniper had producer's and user's accuracies of 94.1% and 88.1%, respectively. Accuracy assessments performed on classified maps of satellite images of two additional study sites showed that Ashe juniper had producer's and user's accuracies that ranged from 87.1% to 96.4%. These results indicate that both color-infrared photography and false color satellite imagery can be used successfully for distinguishing Ashe juniper infestations.

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Year:  2006        PMID: 17072550     DOI: 10.1007/s10661-006-9407-2

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   3.307


  1 in total

1.  Measurement of reflectance factors under daily and intermittent irradiance variations.

Authors:  A J Richardson
Journal:  Appl Opt       Date:  1981-10-01       Impact factor: 1.980

  1 in total
  1 in total

1.  Assessment of plant species diversity based on hyperspectral indices at a fine scale.

Authors:  Yu Peng; Min Fan; Jingyi Song; Tiantian Cui; Rui Li
Journal:  Sci Rep       Date:  2018-03-19       Impact factor: 4.379

  1 in total

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