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

被引:172
作者
Gu, Yingxin [1 ]
Hunt, Eric [2 ]
Wardlow, Brian [2 ]
Basara, Jeffrey B. [3 ]
Brown, Jesslyn F.
Verdin, James P.
机构
[1] USGS, Earth Resources Observat & Sci Ctr, ASRC Res & Technol Solut, Sioux Falls, SD 57198 USA
[2] Univ Nebraska, Natl Drought Mitigat Ctr, Lincoln, NE 68583 USA
[3] Univ Oklahoma, Oklahoma Climatol Survey, Norman, OK 73019 USA
关键词
D O I
10.1029/2008GL035772
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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 similar to 0.73), while sites with heterogeneous vegetation cover and loam soils had the lowest correlation (r similar to 0.22). Citation: Gu, Y., E. Hunt, B. Wardlow, J. B. Basara, J. F. Brown, and J. P. Verdin (2008), Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data, Geophys. Res. Lett., 35, L22401, doi: 10.1029/2008GL035772.
引用
收藏
页数:5
相关论文
共 18 条
[1]  
ADEGOKE JO, 2001, AM METEOROL SOC, V3, P395
[2]  
Basara J.B., 1998, EOS T AM GEOPHYS UN, V79, P258
[3]   The Vegetation Drought Response Index (VegDRI): A new integrated approach for monitoring drought stress in vegetation [J].
Brown, Jesslyn F. ;
Wardlow, Brian D. ;
Tadesse, Tsegaye ;
Hayes, Michael J. ;
Reed, Bradley C. .
GISCIENCE & REMOTE SENSING, 2008, 45 (01) :16-46
[4]   Analysis of feedback mechanisms in land-atmosphere interaction [J].
Brubaker, KL ;
Entekhabi, D .
WATER RESOURCES RESEARCH, 1996, 32 (05) :1343-1357
[5]   Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands [J].
Chen, DY ;
Huang, JF ;
Jackson, TJ .
REMOTE SENSING OF ENVIRONMENT, 2005, 98 (2-3) :225-236
[6]   NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space [J].
Gao, BC .
REMOTE SENSING OF ENVIRONMENT, 1996, 58 (03) :257-266
[7]   A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States [J].
Gu, Yingxin ;
Brown, Jesslyn F. ;
Verdin, James P. ;
Wardlow, Brian .
GEOPHYSICAL RESEARCH LETTERS, 2007, 34 (06)
[8]   Development of a 2001 National Land-Cover Database for the United States [J].
Homer, C ;
Huang, CQ ;
Yang, LM ;
Wylie, B ;
Coan, M .
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2004, 70 (07) :829-840
[9]   Seasonal to interannual variations of soil moisture measured in Oklahoma [J].
Illston, BG ;
Basara, JB ;
Crawford, KC .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2004, 24 (15) :1883-1896
[10]   Mesoscale monitoring of soil moisture across a statewide network [J].
Illston, Bradley G. ;
Basara, Jeffrey B. ;
Fisher, Daniel K. ;
Elliot, Ronald ;
Fiebrich, Christopher A. ;
Crawford, Kenneth C. ;
Humes, Karen ;
Hunt, Eric .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2008, 25 (02) :167-182