地理学报 ›› 2014, Vol. 69 ›› Issue (s1): 86-89.doi: 10.11821/dlxb2014S017

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长江中下游地区冬闲田地理分布数据

徐新良1, 翟孟源2, 刘洛3, 4   

  1. 1. 中国科学院地理科学与资源研究所, 北京 100101;
    2. 南京农业大学资源与环境科学学院, 南京 100095;
    3. 中国科学院新疆生态与地理研究所, 乌鲁木齐 830011;
    4. 中国科学院大学, 北京 100049
  • 收稿日期:2014-03-17 修回日期:2014-06-20 出版日期:2014-12-26 发布日期:2020-04-07

Dataset of winter fallow land in middle and lower reaches of Yangtze River (2007-2008)

SUN Wei1, GUO Chunxia1, 2, ZHU Yunqiang1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Science, Beijing 100049, China
  • Received:2014-03-17 Revised:2014-06-20 Published:2014-12-26 Online:2020-04-07
  • Supported by:
    National Key Project of Scientific and Technical Supporting Programs, No.2013BAC03B01

摘要: 近20年以来,随着中国经济结构的调整和农村劳动力的转移,部分地区冬闲田的面积呈明显增长态势。长江中下游地区冬闲田地理分布数据 (WFL_MLYR) 是利用长时间序列SPOT NDVI数据,结合研究区耕地空间分布和农作物在出苗期和成熟期NDVI变化特征,基于NDVI动态阈值法提取的。该数据包括长江中下游地区2007年农作物收获时间、2008年农作物播种时间以及2007-2008年冬闲田闲置时间。该数据是掌握中国区域农业生产活动状况,挖掘农业生产潜力,科学、合理及高效利用冬闲田资源,保证农业可持续发展的重要参考数据和基础性数据。

关键词: 长江中下游地区, 冬闲田, 遥感监测

Abstract: The dataset of soil potential productivity of Hunan province of China is produced at 1km resolution based on progressively calculating models and the data of climate, soil and terrain by using GIS (Geographic Information System) technology. The aim of this study is to get the pixel based soil potential productivity data in 1km resolution from the table based statistical data in administrative regions and polygon based in administrative county boundary GIS data. The dataset includes data about the photosynthetic potential productivity, light and temperature potential productivity, climatic potential productivity and soil potential productivity. The data also covers temperature correction coefficients, moisture correction coefficients and soil correction coefficients. The geographic distribution of predicting soil potential productivity coincides with the one of actual crop productivity.

Key words: Hunan province, photosynthetic potential productivity, light and temperature potential productivity, climate potential productivity, soil potential productivity