地理学报 ›› 2014, Vol. 69 ›› Issue (s1): 69-71.doi: 10.11821/dlxb2014S013

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青藏高原植被变化区域分异数据

于伯华1, 吕昌河1, 吕婷婷2, 杨阿强2, 刘闯1   

  1. 1. 中国科学院地理科学与资源研究所, 北京 100101;
    2. 中国科学院遥感与数字地球研究所, 北京 100094
  • 收稿日期:2014-03-20 修回日期:2014-06-20 出版日期:2014-12-26 发布日期:2020-04-07

Dataset of regional vegetation changes from 1981 to 2006 in the Qinghai-Tibet Plateau

YU Xinfang1, ZHUANG Dafang1, WANG Qiankun1, 2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. The College of Forestry, Southwest Forestry University, Kunming 650224, China
  • Received:2014-03-20 Revised:2014-06-20 Online:2014-12-26 Published:2020-04-07
  • Supported by:
    Ministry of Science and Technology, Project No.2006BAC01A01-02

摘要: 青藏高原植被变化区域分异数据是在国家科技攻关计划的支持下完成的,它反映了1981-2006年青藏高原植被变化的区域分异特征——植被指数上升区、植被指数稳定区和植被指数减少区,可以作为青藏高原植被变化、生态脆弱性等研究的参考数据。本数据集包含栅格和矢量两种格式,总数据量约161 KB。

关键词: 植被变化, 区域分异, 青藏高原

Abstract: Phenology is a discipline and comprehensive indicator of climate and environment changes. Forest phenology is a comprehensive biological index to reflect the influence of short-term or long-term climate change on forest growth stages. With the aid of remote sensing technology, we develop a model to calculate the data from phenological observation points into region scale. MODIS provides time-series information both in seasonal and annual changes to study the phenology. Based on MODIS Enhanced Vegetation Index (EVI) from 2000-2010, we extracted forest phenological variables using percentage thresholds method in Northeast China, which include start of growing season (SOS), end of growing season (EOS) and length of growing season (LOS). The phenological data from published papers and field observed data in the same area were used to validate the results. The validation indicates that forest phenophase from MODIS EVI data is feasible.

Key words: MODIS EVI, forest, phenology, Northeast China