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7720
Quick Spatial Assessment of Drought Information Derived from MODIS Imagery Using Amplitude Analysis
Abstract:
The normalized difference vegetation index (NDVI) and normalized difference moisture index (NDMI) derived from the moderate resolution imaging spectroradiometer (MODIS) have been widely used to identify spatial information of drought condition. The relationship between NDVI and NDMI has been analyzed using Pearson correlation analysis and showed strong positive relationship. The drought indices have detected drought conditions and identified spatial extents of drought. A comparison between normal year and drought year demonstrates that the amplitude analysis considered both vegetation and moisture condition is an effective method to identify drought condition. We proposed the amplitude analysis is useful for quick spatial assessment of drought information at a regional scale.
Digital Object Identifier (DOI):

References:

[1] L.S. Unganai, and F.N. Kogan, "Drought Monitoring and Corn Yield Estimation in Southern Africa from AVHRR Data", Remote Sensing of Environment, vol. 63, no. 3, pp. 219-232, 1998.
[2] H.C. Claudio, Y. Cheng, D.A. Fuentes, J.A. Gamon, H. Luo, W. Oechel, H.L. Qiu, A.F. Rahman, and D.A. Sims, "Monitoring drought effects on vegetation water content and fluxes in chaparral with the 970 nm water band index", Remote Sensing of Environment, vol. 103, no. 3, pp. 304-311, 2006.
[3] S.M. Herrmann, A. Anyamba, and C.J. Tucker, "Recent trends in vegetation dynamics in the African Sahel and their relationship to climate", Global Environmental Change Part A, vol. 15, no. 4, pp. 394-404, 2005.
[4] A.J. Peters, D.C. Rundquist, and D.A. Wilhite, "Satellite detection of the geographic core of the 1988 Nebraska drought", Agricultural and Forest Meteorology, vol. 57, no. 1-3, pp. 35-47, 1991.
[5] M.L. Lin, and C.W. Chen, "Application of fuzzy models for the monitoring of ecologically sensitive ecosystems in a dynamic semi-arid landscape from satellite imagery", Engineering Computations: International Journal for Computer-Aided Engineering and Software, vol. 27, no. 1, pp. 5-19, 2010.
[6] M.L. Lin, C.W. Chen, Q.B. Wang, Y. Cao, J.Y. Shih, Y.T. Lee, C.Y. Chen, and S. Wang, "Fuzzy model-based assessment and monitoring of desertification using MODIS satellite imagery", Engineering Computations: International Journal for Computer-Aided Engineering and Software, vol. 26, no. 7, pp. 745-760, 2009.
[7] S.M. Quiring, and S. Ganesh, "Evaluating the utility of the Vegetation Condition Index (VCI) for monitoring meteorological drought in Texas", Agricultural and Forest Meteorology, vol. 150, no. 3, pp. 330-339, 2010.
[8] Y. Bayarjargal, A. Karnieli, M. Bayasgalan, S. Khudulmur, C. Gandush, and C.J. Tucker, "A comparative study of NOAA-AVHRR derived drought indices using change vector analysis", Remote Sensing of Environment, vol. 105, no. 1, pp. 9-22, 2006.
[9] C. Bhuiyan, R.P. Singh, and F.N. Kogan, "Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data", International Journal of Applied Earth Observation and Geoinformation, vol. 8, no. 4, pp. 289-302, 2006.
[10] F.N. Kogan, "Global drought and flood-watch from NOAA polar-orbitting satellites", Advances in Space Research, vol. 21, no. 3, pp. 477-480, 1998.
[11] P.R. Bajgiran, A.A. Darvishsefat, A. Khalili, and M.F. Makhdoum, "Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran", Journal of Arid Environments, vol. 72, no., pp. 1086-1096, 2008.
[12] S. Jin, and S.A. Sader, "MODIS time-series imagery for forest disturbance detection and quantification of patch size effects", Remote Sensing of Environment, vol. 99, no., pp. 462-470, 2005.
[13] B.C. Gao, "NDWI - A Normalized Difference Water Index for remote sensing of vegetation liquid water from space", Remote Sensing of Environment, vol. 58, no., pp. 257-266, 1996.
[14] E.H. Wilson, and S.A. Sader, "Detection of forest harvest type using multiple dates of Landsat TM imagery", Remote Sensing of Environment, vol. 80, no., pp. 385-396, 2002.
[15] D.J. Hayes, and W.B. Cohen, "Spatial, spectral and temporal patterns of tropical forest cover change as observed with multiple scales of optical satellite data", Remote Sensing of Environment, vol. 106, no., pp. 1-16, 2007.
[16] N.R. Goodwin, N.C. Coops, M.A. Wulder, S. Gillanders, T.A. Schroeder, and T. Nelson, "Estimation of insect infestation dynamics using a temporal sequence of Landsat data", Remote Sensing of Environment, vol. 112, no., pp. 3680-3689, 2008.
[17] D.J. Hayes, W.B. Cohen, S.A. Sader, and D.E. Irwin, "Estimating proportional change in forest cover as a continuous variable from multi-year MODIS data", Remote Sensing of Environment, vol. 112, no., pp. 735-749, 2008.
[18] A. Anyamba, C.J. Tucker, and J.R. Eastman, "NDVI anomaly patterns over Africa during the 1997/98 ENSO warm event", International Journal of Remote Sensing, vol. 22, no. 10, pp. 1847-1859, 2001.
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