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FOREST RESOURCES WANAGEMENT ›› 2023›› Issue (3): 98-104.doi: 10.13466/j.cnki.lyzygl.2023.03.013

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Analysis of Vegetation Cover Changes in Beijing from 2005 to 2020

YU Shiyong1(), XU Qian2(), YU Xiaofei3   

  1. 1. Academy of Forest Inventory and Planning,National Forestry and Grassland Administration,Beijing 100714,China
    2. Information Center of National Forestry and Grassland Administration,Beijing 100714,China
    3. Dalian Territory Spatial Planning and Design Co.,Ltd.,Dalian,Liaoning 116011,China
  • Received:2023-03-28 Revised:2023-05-16 Online:2023-06-28 Published:2023-08-09

Abstract:

Based on NDVI data from 2005—2020,the spatial distribution characteristics,temporal distribution characteristics and spatio-temporal characteristics of vegetation were analysed using NDVI classification and difference analysis to reveal the spatio-temporal patterns of NDVI changes in Beijing,and to explore the reasons for the changes by analysing the vegetation cover changes in Beijing in the past 15 years.Through analysis,it is found that,the overall vegetation cover in the Beijing area is at a high level.From a regional perspective,the areas with very high NDVI mean coverage classes in Beijing from 2005 to 2020 were all located in the Jundu and Xishan mountain ranges.The vegetation coverage of Mentougou District,Huairou District,Yanqing District,Fangshan District,Changping District and Pinggu District was at the highest level in Beijing.In terms of time,the level of vegetation coverage changed significantly from 2005 to 2020,with the average annual NDVI value increasing from 0.659 0 to 0.756 6,an increase of 14.81%.The proportion of area with "very high" vegetation coverage increased from 5.31% to 47.79%,and the proportion of area with "low" vegetation coverage decreased from 5.91% to 1.25%.In terms of spatiotemporal change characteristics of vegetation,the area with obvious improvement and slight improvement accounted for more than 80%.Two "million mu afforestation" projects and mountain forest management were the main driving forces to improve the quality of vegetation coverage in Beijing.

Key words: NDVI, vegetation cover, difference analysis, Beijing

CLC Number: