论文

NDVI对降水季节性和年际变化的敏感性

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  • 1. 北京师范大学环境演变与自然灾害教育部重点实验室,北京师范大学资源科学研究所,北京100875;
    2. 中国科学院地理科学与资源研究所,北京100101

收稿日期: 2000-07-03

  修回日期: 2000-09-26

  网络出版日期: 2000-12-15

基金资助

“九五”国家攻关项目(96-908-03-03);国家自然科学基金项目(30000027);高等学校骨干教师资助计划;国

NDVI Sensitivity to Seasonal and Interannual Rainfall Variations in Northern China

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  • 1. Key Laboratory of Environmental Change and Natural Disaster, the Ministry of Education of China, Beijing Normal University, Institute of Resources Science of Beijing Normal University, Beijing 100875;
    2. Institute of Geographic Sciences and Natural Resources Research. CAS, Beijing 100101

Received date: 2000-07-03

  Revised date: 2000-09-26

  Online published: 2000-12-15

Supported by

Supported by the National Key project of the National Ninth Five Year Plan (96-908-03-03);National Natural Science Foundation (030000027); Teacher Foundation by the Ministry of Education; Key Project of the National Natural Science Foundation (39899374)

摘要

利用气候变量实现对NDVI所表示的植被绿度信息的预测,以表达生物圈过去和未来状态,对全球变化研究是非常重要的。分析了1983~1992年降水的年际动态、季节动态与中国北方几种典型植被类型NDVI的关系,以及降水的空间分异对植被的影响。结果表明,降水的年际变化对植被生长的影响存在着明显的区域差异;在不同植被类型分布区,10年间降水的季节分配动态不同,降水季节分配的变化对不同类型植被生长有重要的影响;地表植被NDVI对降水的时空变化敏感。

关键词: 降水变化; NDVI; 敏感性

本文引用格式

李晓兵, 王瑛, 李克让 . NDVI对降水季节性和年际变化的敏感性[J]. 地理学报, 2000 , 55(s1) : 82 -89 . DOI: 10.11821/xb2000S1013

Abstract

It is very important to research on global change to predict vegetation green--up information showed by NDVI using climate variations, because the relationship between NDVI and climate variations can be used to predict past and future status on earth. In this research, the relationship between NDVI and seasonal and inter -- annual precipitation change from 1983 to 1992, and impact of spatial distribution of precipitation on vegetation were studied for several typically vegetation types in northern China. The results showed impact of precipitation inter--annual change on vegetation growth were very different for regions of several vegetation types. Seasonal precipitation distribution was different for different vegetation types in 10 years, vegetation growth were influenced strongly by seasonal precipitation distribution. NDVI was sensitive to temporal -- spatial change of precipitation.
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