Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data

Yingxin Gu, Eric Hunt, Brian Wardlow, Jeffrey B. Basara, Jesslyn F. Brown, James P. Verdin

Research output: Contribution to journalArticlepeer-review

221 Scopus citations

Abstract

The evaluation of the relationship between satellite-derived vegetation indices (normalized difference vegetation index and normalized difference water index) and soil moisture improves our understanding of how these indices respond to soil moisture fluctuations. Soil moisture deficits are ultimately tied to drought stress on plants. The diverse terrain and climate of Oklahoma, the extensive soil moisture network of the Oklahoma Mesonet, and satellite-derived indices from the Moderate Resolution Imaging Spectroradiometer (MODIS) provided an opportunity to study correlations between soil moisture and vegetation indices over the 2002-2006 growing seasons. Results showed that the correlation between both indices and the fractional water index (FWI) was highly dependent on land cover heterogeneity and soil type. Sites surrounded by relatively homogeneous vegetation cover with silt loam soils had the highest correlation between the FWI and both vegetation-related indices (r∼0.73), while sites with heterogeneous vegetation cover and loam soils had the lowest correlation (r∼0.22).

Original languageEnglish (US)
Article numberL22401
JournalGeophysical Research Letters
Volume35
Issue number22
DOIs
StatePublished - Nov 28 2008
Externally publishedYes

ASJC Scopus subject areas

  • Geophysics
  • General Earth and Planetary Sciences

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