主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2018, Vol. 34 ›› Issue (4): 112-118.doi: 10.3969/j.issn.1673-503X.2018.04.015

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Relationship between fractional vegetation and climate factors in spring over the mid-west of DPR Korea

WU Gang-zhe1, 2  YAN Jin-zhe1, 3  REN Guo-yu 1, 4   SUONAN Kan-zhuo 1   

  1. 1. Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China;2. Department of Meteorology, Faculty of Agricultural Science, Wonsan Agriculture University, Wonsan, Kangwon Province, DPR Korea;3. Department of Meteorology, Faculty of Global environmental Science, Kim Il Sung University, Pyongyang, DPR Korea;4. Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China
  • Received:2017-05-09 Revised:2017-07-03 Online:2018-08-31 Published:2018-09-03

Abstract:

 Based on the Landsat5 satellite data in 1992, 2003 and 2007 as well as temperature and precipitation data from the 13 weather stations in the mid-west of DPR Korea during 1992-2007, the variation characteristics of fractional vegetation (FV) in spring and their relationships with climate abnormality were investigated. The results show that the regionally averaged FV in the studied area increases significantly with a rate of about 17.5%. More specifically, the increasing magnitude of FV in plain area is about 20.0% higher than that in mountain area. In addition, FV has a negative correlation with the spring mean surface temperature (correlation coefficient: r = -0.43) and a positive correlation with the spring precipitation (r = 0.43). Moreover, there is a negative and positive correlation between the variations of the spring mean temperature, precipitation and FV (correlation coefficient: r = -0.53 and r = 0.79), respectively, with a very significant level (p<0.05). So, the variation of spring FV in the mid-west of DPR Korea may be mainly affected by spring mean temperature and precipitation.

Key words: Landsat5 TM, Remote sensing, GIS, Fractional Vegetation, Temperature, Precipitation, correlation analysis

CLC Number: