地理学报 ›› 2014, Vol. 69 ›› Issue (s1): 25-29.doi: 10.11821/dlxb2014S003

• • 上一篇    下一篇

世界屋脊生态地理区地形坡度分级数据集内容与成果

刘闯1, 石瑞香1, 吕婷婷2, 陈文波3, 王正兴1, 周翔2   

  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 100101;
    3. 日本庆应义塾大学SFC研究所, 日本藤泽 2520882
  • 收稿日期:2014-03-25 修回日期:2014-06-20 出版日期:2014-01-20 发布日期:2020-04-07
  • 作者简介:刘闯 (1948-), 女, 研究员, 主要从事全球变化信息、数据共享等研究。E-mail: lchuang@igsnrr.ac.cn
  • 基金资助:
    中国科学院项目 (2010): 人地系统主题数据库建设与服务 (INF0-115-C01-SDB3-02)

Land slope cluster dataset of the eco-region of the Roof of the World

JIANG Dong1, FU Jingying1, 2, HUANG Yaohuan1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2014-03-25 Revised:2014-06-20 Online:2014-01-20 Published:2020-04-07
  • Supported by:
    Chinese Academy of Sciences (2010): Human and Environment Database and Services, No.INF0-115-C01-SDB3-02

摘要: 世界屋脊生态地理区地形坡度分级数据集 (ROTWSLC) 是在ASTER GDEM 2数据基础上,对原数据进行预处理后,根据倾斜角度、百分比升高两种类型,计算坡度后再进行分级得到的。结果表明,在世界屋脊生态地理区,坡度在7º以上的区域约占总面积的72.02%;坡度在10%以上的区域约占到总面积的77.05%。该数据对于了解世界屋脊地理区的地形特征、进行生态、环境等的适宜性、脆弱性评价等具有重要意义。两种类型的数据均为栅格格式,每种包括475个1×1度的数据块。压缩后的数据量约为2.22GB。

关键词: 世界屋脊, 青藏高原, 兴都库什喜马拉雅, 生态地理区, 地形坡度, 分类数据

Abstract: Biodiesel from bio-energy crops is expected to play an increase role in solving energy crisis. Thus, large-scale cultivation of bio-energy crops causes worldwide attention. Asia is the most populous continent and has a really fast speed of economic growth which causes a massive increase in energy demand. This dataset from the suitability assessment of marginal land resources for cultivating bio-energy crops without affecting food security. A multi-factor analysis method was applied to identify marginal land available for bioenergy development and multiple datasets were used as background including the natural characteristics of bio-energy crops and geographic data. The results indicate that the marginal land resources in Asia are about 16.99 million km2. The validations were conducted in Wuhan Botanical Garden of the Chinese Academy of Sciences and South China Botanical Garden with the accuracy higher than 85%. This dataset provides important support to the large-scale cultivation of energy plants and sustainable development of bioenergy.

Key words: Asia, bio-energy crops, marginal land, data