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Analysis of the Possibility for Drought Detection of Spring Season Using SPI and NDVI

  • Journal of the Association of Korean Geographers
  • Abbr : JAKG
  • 2017, 6(2), pp.165-174
  • DOI : 10.25202/JAKG.6.2.5
  • Publisher : Association of Korean Geographers
  • Research Area : Social Science > Geography
  • Received : June 25, 2017
  • Accepted : August 16, 2017

Dongwoo Kim 1,  Park, Jongchul 2,  Dong-Ho Jang 1

1공주대학교
2한국환경정책·평가연구원

Accredited

ABSTRACT

As a method of monitoring and predicting droughts, the drought index and the normalized difference vegetation index (NDVI) of satellite images are being used. This study analyzed the possibility of detecting droughts through an analysis of the correlation between the standard precipitation index (SPI) and the NDVI using the regular spaced grid precipitation data and MODIS images data. The study was conducted on the entire region of South Korea and the types of droughts where vegetation sensitively responds during March and May were proposed in each region. As a result of study, it was displayed different correlations of the two indexes by season and region. The vegetation in the mountainous regions of Mt. Halla and Mt. Jiri was sensitive to all types of droughts in March, and the farming region of Honam was sensitive to short-term droughts and the mountainous regions of the central region were sensitive to mid-term droughts. Through which, it was indicated that the analysis of the correlation of the two indexes is useful in ascertaining the regions sensitive to spring droughts. The result of this study is expected for use in studies that predict spring droughts by analyzing the future correlation of NDVI and SPI.

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This paper was written with support from the National Research Foundation of Korea.
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