The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
A five‐year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States
Abstract
A five‐year (2001–2005) history of moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) data was analyzed for grassland drought assessment within the central United States, specifically for the Flint Hills of Kansas and Oklahoma. Initial results show strong relationships among NDVI, NDWI, and drought conditions. During the summer over the Tallgrass Prairie National Preserve, the average NDVI and NDWI were consistently lower (NDVI < 0.5 and NDWI < 0.3) under drought conditions than under non‐drought conditions (NDVI>0.6 and NDWI>0.4). NDWI values exhibited a quicker response to drought conditions than NDVI. Analysis revealed that combining information from visible, near infrared, and short wave infrared channels improved sensitivity to drought severity. The proposed normalized difference drought index (NDDI) had a stronger response to summer drought conditions than a simple difference between NDVI and NDWI, and is therefore a more sensitive indicator of drought in grasslands than NDVI alone.
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Cites
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Cited by
Remote sensing of drought: Progress, challenges and opportunities
AghaKouchak, A., Farahmand, A., Melton, F. S., Teixeira, J., Anderson, M. C., Wardlow, B. D., & Hain, C. R. (2015) · Reviews of Geophysics · doi:10.1002/2014rg000456 · Cited by 989
Self-citationForecasting crop yield using remotely sensed vegetation indices and crop phenology metrics
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Development of a Combined Drought Indicator to detect agricultural drought in Europe
Sepulcre-Canto, G., Horion, S., Singleton, A., Carrao, H., & Vogt, J. (2012) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-12-3519-2012 · Cited by 334
Drought indicators revisited: the need for a wider consideration of environment and society
Bachmair, S., Stahl, K., Collins, K., Hannaford, J., Acreman, M., Svoboda, M., Knutson, C., Smith, K. H., Wall, N., Fuchs, B., et al. (2016) · WIREs Water · doi:10.1002/wat2.1154 · Cited by 316
Rhee, J., & Im, J. (2017) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2017.02.011 · Cited by 245
Metadata
- Authors
- Gu, Y., Brown, J. F., Verdin, J. P., & Wardlow, B.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2007-03
- Volume
- 34
- Issue
- 6
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2021365919
- Cited by
- 718
- References
- 14
- FWCI
- 8.82
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gu, Y., Brown, J. F., Verdin, J. P., & Wardlow, B. (2007). A five‐year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States. Geophysical Research Letters. https://doi.org/10.1029/2006gl029127
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