Literature DB >> 17109183

Point sampling digital imagery with 'SamplePoint'.

D Terrance Booth1, Samuel E Cox, Robert D Berryman.   

Abstract

Measuring percent occurrence of objects from digital images can save time and expense relative to conventional field measurements. However, the accuracy of image analysis had, until now, not reached the level of the best conventional field measurements. Additionally, most image-analysis software programs require advanced user training to successfully analyze images. Here we present a new software program, 'SamplePoint,' that provides the user a single-pixel sample point and the ability to view and identify the pixel context. We found SamplePoint to allow accuracy comparable with the most accurate field-methods for ground-cover measurements. Expert use of the program requires minimal training and its ease of use allows rapid measurements from image data. We recommend SamplePoint for calibrating the threshold-detection level of image-analysis software or for making direct measurements of percent occurrence from digital images.

Mesh:

Year:  2006        PMID: 17109183     DOI: 10.1007/s10661-005-9164-7

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


  3 in total

1.  Precision measurements from very-large scale aerial digital imagery.

Authors:  D Terrance Booth; Samuel E Cox; Robert D Berryman
Journal:  Environ Monit Assess       Date:  2006-01       Impact factor: 2.513

2.  Color appearance depends on the variance of surround colors.

Authors:  R O Brown; D I MacLeod
Journal:  Curr Biol       Date:  1997-11-01       Impact factor: 10.834

Review 3.  Color appearance: on seeing red--or yellow, or green, or blue.

Authors:  I Abramov; J Gordon
Journal:  Annu Rev Psychol       Date:  1994       Impact factor: 24.137

  3 in total
  16 in total

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2.  Dual-camera, high-resolution aerial assessment of pipeline revegetation.

Authors:  D Terrance Booth; Samuel E Cox
Journal:  Environ Monit Assess       Date:  2008-10-18       Impact factor: 2.513

3.  Shadow attenuation with high dynamic range images. Creating RGB images that allow feature classification in areas otherwise obscured by shadow or oversaturation.

Authors:  Samuel E Cox; D Terrance Booth
Journal:  Environ Monit Assess       Date:  2008-10-30       Impact factor: 2.513

4.  Ground-cover measurements: assessing correlation among aerial and ground-based methods.

Authors:  D Terrance Booth; Samuel E Cox; Tim Meikle; Hans R Zuuring
Journal:  Environ Manage       Date:  2008-04-30       Impact factor: 3.266

5.  An automated (novel) algorithm for estimating green vegetation cover fraction from digital image: UIP-MGMEP.

Authors:  J B Hu; M X Dai; S T Peng
Journal:  Environ Monit Assess       Date:  2018-10-30       Impact factor: 2.513

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Journal:  Microb Ecol       Date:  2021-03-22       Impact factor: 4.552

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Authors:  Brett Howland; Dejan Stojanovic; Iain J Gordon; Adrian D Manning; Don Fletcher; David B Lindenmayer
Journal:  PLoS One       Date:  2014-12-11       Impact factor: 3.240

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Authors:  Laura A McMahon; Janet L Rachlow; Lisa A Shipley; Jennifer S Forbey; Timothy R Johnson; Peter J Olsoy
Journal:  PLoS One       Date:  2017-03-16       Impact factor: 3.240

9.  Spatiotemporal Effects of Supplementary Feeding of Wild Boar (Sus scrofa) on Artificial Ground Nest Depredation.

Authors:  Ragne Oja; Karoline Zilmer; Harri Valdmann
Journal:  PLoS One       Date:  2015-08-05       Impact factor: 3.240

10.  Exogenous N addition enhances the responses of gross primary productivity to individual precipitation events in a temperate grassland.

Authors:  Qun Guo; Zhong-Min Hu; Sheng-Gong Li; Gui-Rui Yu; Xiao-Min Sun; Ling-Hao Li; Nai-Shen Liang; Wen-Ming Bai
Journal:  Sci Rep       Date:  2016-06-06       Impact factor: 4.379

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