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FOREST RESOURCES WANAGEMENT ›› 2018, Vol. 0 ›› Issue (1): 109-116.doi: 10.13466/j.cnki.lyzygl.2018.01.016

• Scientific Research • Previous Articles     Next Articles

Spatio-temporal Variation of NDVI and Its Response to Regional Climate in Gansu Province

WANG Nayun1(), JIANG Jianjun1,2(), CHEN Mengqi1, BAI Shibiao1   

  1. 1. Key Laboratory of Virtual Geographic Environment of Ministry of Education,Nanjing Normal University,Nanjing,210023,China
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing,210023,China
  • Received:2017-12-29 Revised:2018-01-26 Online:2018-02-28 Published:2020-09-27
  • Contact: JIANG Jianjun E-mail:sgyb_93720@163.com;09106@njnu.edu.cn

Abstract:

Long time NDVI sequences can indicate the characteristics of vegetation cover on the surface and are widely used in the study of large scale surface vegetation cover changes.This study used MODIS-NDVI data sets in 2001 to 2015 to quantitatively study the spatio-temporal variations of vegetation cover in Gansu Province based on ENVI and ArcGIS spatial analysis techniques.According to the natural geographical region,Gansu Province was divided into three parts,which were combined with the temperature and precipitation data of the same period to study the response relationship between vegetation cover change and regional climate.The results showed that:(1) Vegetation coverage in Gansu Province increased by the rate of 0.004 1 per year from 2001 to 2015,indicating that the vegetation cover in Gansu Province has improved during the study period,while there are obvious spatial differences.(2) The annual precipitation in Gansu Province shows a decreasing trend,while the annual average temperature shows an upward trend.But the change rates of the both were relatively low,indicating that the trend of dry heating in Gansu Province had eased during the study period.(3) Vegetation cover is positively correlated with precipitation,negatively correlated with temperature,and the influence of precipitation on vegetation coverage is greater than the temperature at the regional scale.

Key words: NDVI, trend analysis, correlation analysis, regional climate, Gansu Province

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