%0 Journal Article
	%A Meng-Lung Lin and  Qiubing Wang and  Fujun Sun and  Tzu-How Chu and  Yi-Shiang Shiu
	%D 2010
	%J International Journal of Geological and Environmental Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 43, 2010
	%T Quick Spatial Assessment of Drought Information Derived from MODIS Imagery Using Amplitude Analysis
	%U https://publications.waset.org/pdf/7720
	%V 43
	%X 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.
	%P 271 - 275