EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Determination of Drought Threshold for Agricultural Land-use using Satellite Image Analysis Techniques

Jieun Kim1, Jaehyung Yu2, Sang Kee Seo3, Jin-Hee Baek3, and Byung Chil Jeon3
Jieun Kim et al.
  • 1Department of Astronomy, Space Science and Geology, Chungnam National University, Daejeon, Republic of Korea (
  • 2Department of Geology and Earth Environmental Sciences, Chungnam National University, Daejeon, Republic of Korea
  • 3Groundwater and Geological Technology Office, Korea Rural Community Corporation, Naju, Republic of Korea

The climate change causes major problems in natural disasters such as storms and droughts and has significant impacts on agricultural activities. Especially, global warming changed crops cultivated causing changes in agricultural land-use, and droughts along with land-use change accompanied serious problems in irrigation management. Moreover, it is very problematic to detect drought impacted areas with field survey and it burdens irrigation management. In South Korea, drought in 2012 occurred in western area while 2015 drought occurred in eastern area. The drought cycle in Korea is irregular but the drought frequency has shown an increasing pattern. Remote sensing approaches has been used as a solution to detect drought areas in agricultural land-use and many approaches has been introduced for drought monitoring. This study introduces remote sensing approaches to detect agricultural drought by calculation of local threshold associated with agricultural land-use. We used Landsat-8 satellite images for drought and non-drought years, and Vegetation Health Index(VHI) was calculated using red, near-infrared, and thermal-infrared bands. The comparative analysis of VHI values for the same agricultural land-use between drought year and non-drought year derived the threshold values for each type of land-use. The results showed very effective detection of drought impacted areas showing distinctive differences in VHI value distributions between drought and non-drought years.

How to cite: Kim, J., Yu, J., Seo, S. K., Baek, J.-H., and Jeon, B. C.: Determination of Drought Threshold for Agricultural Land-use using Satellite Image Analysis Techniques, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12421,, 2020