Skip to main content

Stability, normalization and accuracy of MODIS-derived estimates of live fuel moisture for southern California chaparral

Buy Article:

$55.00 plus tax (Refund Policy)

Time series of spectral vegetation indices (SVIs) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and live fuel moisture (LFM) data for chaparral vegetation of southern California were extended to include one of the driest (2004) and one of the wettest (2005) years on record. Independent, spatially varying field-based estimates of LFM enabled accuracy of MODIS-derived estimates to be quantified. Pixel-based scaling of SVI values based on maximum and minimum values of the time series reduced effects of varying vegetation cover and substantially reduced root mean square errors for two of the three SVIs tested.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: Department of Geography, San Diego State University, San Diego, CA 92182-4493

Publication date: 2007-01-01

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