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基于MODIS数据的北京植被叶面积指数的时空变化

谢军飞1,2**,许蕊2   

  1. (1中国科学院大气物理研究所, 北京 100029; 2北京市园林科学研究所, 北京 100102)
  • 出版日期:2014-05-10 发布日期:2014-05-10

Spatiotemporal variation of leaf area index in Beijing based on MODIS data.

XIE Jun-fei1,2**, XU Rui2   

  1. (1Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 2Beijing Institute of Landscape Architecture, Beijing 100102, China)
  • Online:2014-05-10 Published:2014-05-10

摘要:

利用MODIS产品中分辨率为1 km的LAI数据,结合植被功能型分类,分析了2010—2012年北京植被LAI的月际变化与空间分布特征;并在GIS与Timesat软件的支持下,探讨了各种植被类型LAI的多年变化。结果表明:在2010—2012年的不同月份中,北京的植被LAI较高值均出现在西北山地、东北山地、怀柔北部等林地,并呈现从东北山地至西南向中心城区的递减分布;其次,基于LAI叠加分析的结果显示,各种植被类型LAI年平均值的波动均较小,在2010—2012年,针叶林、阔叶林、草地、作物LAI的年均值波动范围分别在1.45~1.50、1.24~1.27、0.90~0.92和0.48~0.51;此外,Savitzky-Golay平滑滤波结果表明,针叶林、阔叶林、草地、作物LAI的月际变化基本体现了植被的生长轨迹。

 

关键词: 生物量, 林龄, 碳储量, 杉木

Abstract:

In this paper, the monthly spatial dynamics of vegetation LAI during 2010-2012 in Beijing, China, were estimated based on the MODISLAI data and the functional classification of vegetation. The yearly dynamics and differences of vegetation LAI of various vegetations were also investigated based on Geographic Information System and Timesat software. The results suggested that the higher values of monthly vegetation LAI during 2010-2012 mainly occurred in the forest zones of the northwest and northeast mountains as well as the northern areas of Huairou District. The spatially descended trend was found from the northeast mountains to southwest area and then to the central Beijing City. Additionally, the changes of annual average LAI of various vegetations were not obvious during the study period. The annual average of LAI varied in the ranges of 1.45-1.50, 1.24-1.27, 0.90-0.92, and 0.48-0.51 for coniferous forest, broadleaf forest, grassland, and crop, respectively. The results of SavitzkyGolay filtering indicated that the growth trajectories of coniferous forest, broadleaf forest, grass, and crop could be reflected by the inter-monthly variation of LAI.
 

Key words: Cunninghamia lanceolata., biomass, carbon storage, stand age