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机构地区:[1]北京师范大学资源学院地表过程与资源生态国家重点实验室,北京100875 [2]中国科学院地理科学与资源研究所,北京100101 [3]北京师范大学资源学院世界资源研究所,北京100875
出 处:《资源科学》2009年第10期1662-1669,共8页Resources Science
摘 要:中国珠江三角洲以及东南亚地区的红河三角洲、湄公河三角洲、湄南河三角洲和伊洛瓦底江三角洲土壤肥沃,河网密布,皆是重要的农业生产基地。随着人口的快速增长,粮食的需求也随之大幅度增长,在耕地数量有限的情况下,多熟种植制度在解决粮食问题上起着决定性的作用。本文基于时间序列的MODIS-NDVI数据对五大三角洲地区的熟制进行了遥感反演,并对其时空格局进行了分析,结果表明:空间分辨率为250m的16天合成MODIS-NDVI时间序列数据能够准确地定量反演出农业熟制的时空格局;五大三角洲地区作物种植以多熟制为主,NDVI峰值出现的时间主要集中在1月~2月、4月~6月、8月~10月,这种时间分布格局主要受到降水和灌溉条件的影响;五大三角洲地区复种指数由大到小依次为:湄公河三角洲、红河三角洲、湄南河三角洲、珠江三角洲和伊洛瓦底江三角洲,这种格局是自然因素以及社会经济因素共同作用的结果。Since the 1990s, regional economic integration has been attracting more and more attentions from countries all over the world. The Framework Agreement on Comprehensive Economic Co-operation signed in 2002 initiates the process of establishing the free trade area between China and Association of Southeastern Asian Nations (ASEAN). There is a wide-ranging cooperation on agriculture between China and ASEAN. In order to further promote a mutually beneficial cooperation between two areas, it is necessary to get to know each other in their agricultural resources. In this paper, we identified the cropping information of the Pearl River delta, Red River delta, Mekong delta, Chao Phraya delta and Ayeyarwady delta, which are considerably intensive paddy-based regions in the world. With a rapid development of economy, the demand for food in Southeast Asia increased greatly in recent years. Multiple cropping systems which represent the degree of utilizing agriculture resources play an important role in conciliating the contradiction between the demand of food and limitation in paddy land.. Traditionally, cropping systems were usually obtained from statistical data. In recent years, remote sensing technique providing timely large-scale surface and lower atmosphere information compared with traditional methods has been widely appiied to crop monitoring. Normalized Difference Vegetation Index (NDVI) curves of different cropping systems have their inherent change characteristics. Single cropping system exhibits a unimodal NDVI periodical variation while double cropping system exhibits bimodal NDVI one. On the basis of these characteristics, cropping intensity maps can be produced by determining how many peaks are detected in a smoothed NDVI profile on a pixel-by-pixel basis. In the present work, time-series Terra/ Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI data sets (16-day composite MODI3Q1 V005) from 2006 to 2007 were used to derive the cropping intensity. Results showed that multiple cropping s
关 键 词:珠江三角洲 东南亚三角洲 农业种植制度 MODIS-NDVI
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