Potential of Drought Monitoring with Multi-Temporal Normalized Difference Vegetation Index in North-East Asia

  • Shin, Soo-Hyun (Department of Geoinformatic Engineering, Inha University) ;
  • Ryu, Joung-Mi (Department of Geoinformatic Engineering, Inha University) ;
  • Park, Yoon-Il (Department of Geoinformatic Engineering, Inha University) ;
  • Lee, Kyu-Sung (Department of Geoinformatic Engineering, Inha University)
  • Published : 2003.11.03

Abstract

This study attempts to analyze the potential of global scale NDVI data archive to monitor regional scale droughts. Ten-days maximum value NDVI composite data of the northeast Asia region were acquired for the growing seasons from 1993 to 2003. Two NDVI-derived drought indices (SVI, VCI), reported from previous studies, were applied to the study area. Although the SVI and VCI are mainly developed for monitoring the drought condition at the agriculture crop and grasslands, it turned out that they were also effective to reveal the drought condition over the temperate mixed forest. The drought symptom lasts at least one or two months even after the normal raining begins.

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