Skip to main content
padlock icon - secure page this page is secure

Geospatial analysis of the association between bedrock fractures and vegetation in an arid environment

Buy Article:

$60.00 + tax (Refund Policy)

Remote sensing and GIS techniques were applied to a high resolution air photograph from Arches National Park, Utah in order to quantify the spatial correlation between bedrock fractures and the distribution of surface vegetation. Field surveys conducted on the north-east limb of Salt Valley anticline reveal four distinct fracture sets in massive sandstone beds of the Curtis Formation. The most pervasive fractures belong to two sets of mega-scale joints (J1 and J2) that trend NW-SE. Over 10 000 joint traces were digitized from the rectified air photographs encompassing an area of 0.72 km2. Joint orientations were extracted in the GIS, allowing for their division into discrete sets and the calculation of mean orientations. A raster map of vegetation was derived from unsupervised classification of the air photograph. Clusters of vegetation, enhanced by filtering, are preferentially aligned in linear trends that closely correspond to the NW-SE joints. Further, a buffer analysis applied to the J1 and J2 joint sets indicates a systematic decrease in vegetation with increasing distance from the mega-scale joints. Strong correlations in orientation and proximity demonstrate that bedrock fractures may strongly influence the distribution of vegetation in arid environments, especially where bedrock constitutes the majority of land cover and soils are thin.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: Department of Earth Sciences, Florida International University, Miami, Florida 33199, USA

Publication date: December 1, 2008

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more