DocumentCode :
3088635
Title :
Assessing the impact of sharp shift from drought to flood on vegetation using remote sensing
Author :
Lin Wang ; Yuanshu Jing
Author_Institution :
Coll. of Appl. Meteorol., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
fYear :
2012
fDate :
16-18 Dec. 2012
Firstpage :
356
Lastpage :
358
Abstract :
This study examined the impact of rapid shift from drought to flood on vegetation using Moderate Resolution Imaging Spectroradiometer (MODIS) and meteorological data, taking Jiangxi province as example. The Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI) and Standardized Precipitation Index (SPI) were extracted to evaluate the spatial and temporal characteristics of meteorological extremes and vegetation condition. The results of the SPI and vegetation indices analysis revealed that vegetation growth was controlled by rainfall and vegetation indices could reflect the temporal and spatial variability of moisture conditions.
Keywords :
floods; rain; remote sensing; vegetation; China; Jiangxi province; MODIS; Moderate Resolution Imaging Spectroradiometer; Normalized Difference Vegetation Index; Standardized Precipitation Index; Vegetation Condition Index; drought; flood; meteorological extremes; remote sensing; vegetation; Vegetation mapping; MODIS; drought; flood; vegetation index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision in Remote Sensing (CVRS), 2012 International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4673-1272-1
Type :
conf
DOI :
10.1109/CVRS.2012.6421289
Filename :
6421289
Link To Document :
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