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