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Mapping giant salvinia with satellite imagery and image analysis

Overview of attention for article published in Environmental Monitoring and Assessment, May 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
18 Mendeley
Title
Mapping giant salvinia with satellite imagery and image analysis
Published in
Environmental Monitoring and Assessment, May 2007
DOI 10.1007/s10661-007-9807-y
Pubmed ID
Authors

J. H. Everitt, R. S. Fletcher, H. S. Elder, C. Yang

Abstract

QuickBird multispectral satellite imagery was evaluated for distinguishing giant salvinia (Salvinia molesta Mitchell) in a large reservoir in east Texas. The imagery had four bands (blue, green, red, and near-infrared) and contained 11-bit data. Color-infrared (green, red, and near-infrared bands), normal color (blue, green and red bands), and four-band composite (blue, green, red, and near-infrared bands) images were studied. Unsupervised image analysis was used to classify the imagery. Accuracy assessments performed on the classification maps of the three composite images had producer's and user's accuracies for giant salvinia ranging from 87.8 to 93.5%. Color-infrared, normal color, and four-band satellite imagery were excellent for distinguishing giant salvinia in a complex field habitat.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Student > Bachelor 3 17%
Researcher 3 17%
Student > Ph. D. Student 2 11%
Unspecified 1 6%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Environmental Science 5 28%
Agricultural and Biological Sciences 4 22%
Earth and Planetary Sciences 2 11%
Unspecified 1 6%
Computer Science 1 6%
Other 1 6%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 May 2013.
All research outputs
#5,017,235
of 23,854,458 outputs
Outputs from Environmental Monitoring and Assessment
#281
of 2,748 outputs
Outputs of similar age
#13,918
of 72,354 outputs
Outputs of similar age from Environmental Monitoring and Assessment
#3
of 15 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,748 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 72,354 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.