Using NDVI to define thermal south in several mountainous landscapes of California

Yongxin Deng, Michael Goodchild, Xianfeng Chen

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

We combined normalized difference vegetation index (NDVI) and digital terrain analysis to detect thermal south (defined in this paper as the warmest slope azimuth, especially for plant growth) in three mountainous landscapes of California. Two methods, respectively, defined topography-controlled thermal south as corresponding to (1) the maximum NDVI contrast between opposite topographic aspects or (2) the maximum covariance between NDVI and deviated southness. Southness was obtained from aspect (slope azimuth in degrees) by taking its negative cosine value. A multi-scale approach using multi-seasonal NDVI images of the three study areas defined that thermal south would vary with seasons, spatial scales, and study areas, but it deviated from 0° to 180° azimuth line towards southwest in all cases. A deviation angle should thereby be applied when aspect is used as a topographic proxy indicating local thermal conditions. However, the angle must be defined in a way specific to the landscape, scale, and season that are under investigation, hence requiring rapid, easy-to-use tools. The two methods, suggested in this paper, reported comparable thermal south and, together with resultant findings, they may contribute to the study of mountain landscapes, since direct meteorological observations are usually sparse or non-existent in mountains.

Original languageEnglish (US)
Pages (from-to)327-336
Number of pages10
JournalComputers and Geosciences
Volume35
Issue number2
DOIs
StatePublished - Feb 1 2009
Externally publishedYes

Fingerprint

NDVI
azimuth
tool use
mountain
Topography
topography
Hot Temperature
method

Keywords

  • Aspect
  • DEM
  • Thermal deviation
  • Vegetation greenness

ASJC Scopus subject areas

  • Information Systems
  • Computers in Earth Sciences

Cite this

Using NDVI to define thermal south in several mountainous landscapes of California. / Deng, Yongxin; Goodchild, Michael; Chen, Xianfeng.

In: Computers and Geosciences, Vol. 35, No. 2, 01.02.2009, p. 327-336.

Research output: Contribution to journalArticle

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