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Modelling and mapping eye-level greenness visibility exposure using multi-source data at high spatial resolutions.

S M Labib1, Jonny J Huck2, Sarah Lindley2

  • 1Department of Geography, School of Environment, Education and Development (SEED), University of Manchester, Arthur Lewis building (1st Floor), Oxford Road, Manchester M13 9PL, United Kingdom; Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge, Clifford Allbutt Building, CB2 0AH, Cambridge, United Kingdom.

The Science of the Total Environment
|November 1, 2020
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Summary
This summary is machine-generated.

New methods accurately measure eye-level greenness visibility, crucial for health benefits. This approach improves upon traditional metrics by capturing a more comprehensive view of green space exposure from the ground.

Keywords:
Environmental exposureEye level greenness visibilityGeographic Information SystemsGreenspaceStreet viewUrban health

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Area of Science:

  • Environmental Science
  • Urban Planning
  • Public Health

Background:

  • Natural greenness visibility is linked to health benefits like stress recovery and attention restoration.
  • Existing methods fail to capture detailed, ground-level eye-level greenness visibility at high resolutions.

Purpose of the Study:

  • To develop and validate an innovative methodology for modeling and mapping eye-level greenness visibility exposure.
  • To introduce a novel Viewshed Greenness Visibility Index (VGVI) for precise spatial assessment.

Main Methods:

  • Utilized multi-source spatial data and viewshed analysis combined with a distance decay model.
  • Computed the VGVI at over 86 million ground-level observer locations.
  • Compared VGVI with traditional metrics like NDVI and street-level SGVI.

Main Results:

  • Found moderate to strong correlations between eye-level greenness visibility and NDVI, decreasing with distance.
  • Demonstrated that street-only greenness visibility (SGVI) is not fully representative of total neighborhood visibility.
  • VGVI showed strong agreement with SGVI but captured additional greenness from areas like backyards and parks.

Conclusions:

  • Eye-level greenness visibility is a distinct metric from top-down measurements.
  • The new VGVI methodology offers a more accurate and comprehensive assessment of greenness exposure.
  • This approach overcomes underestimations of traditional methods and is transferable and computationally efficient.