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Remote SensingRemote Sensing
  • Article
  • Open Access

27 July 2019

21 Pages

Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea

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1
Department of Applied Plant Science, Chonnam National University, 77 Yongbong-ro, Gwangju 61186, Korea
2
Department of Spatial Information Engineering, Pukyong National University, 45 Yongso-ro, Namgu, Busan 48513, Korea
3
Department of Geoinformatic Engineering, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea
4
Department of Environment, Energy, and Geoinformatics, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea
This article belongs to the Special Issue Remote Sensing of Drought Monitoring

Abstract

Satellite-based remote sensing techniques have been widely used to monitor droughts spanning large areas. Various agricultural drought indices have been developed to assess the intensity of agricultural drought and to detect damaged crop areas. However, to better understand the responses of agricultural drought to meteorological drought, agricultural management practices should be taken into consideration. This study aims to evaluate the responses to drought under different forms of agricultural management for the extreme drought that occurred on the Korean Peninsula in 2014 and 2015. The 3-month standardized precipitation index (SPI3) and the 3-month vegetation health index (VHI3) were selected as a meteorological drought index and an agricultural drought index, respectively. VHI3, which comprises the 3-month temperature condition index (TCI3) and the 3-month vegetation condition index (VCI3), differed significantly in the study area during the extreme drought. VCI3 had a different response to the lack of precipitation in South and North Korea because it was affected by irrigation. However, the time series of TCI3 were similar in South and North Korea. These results meant that each drought index has different characteristics and should be utilized with caution. Our results are expected to help comprehend the responses of the agricultural drought index on meteorological drought depending on agricultural management.

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