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  • ISSN 1000-694X
  • 双月刊 创刊于1981年
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生态与经济

青藏工程走廊多年冻土段植被覆盖度动态快速测量方法研究

  • 龚大鑫1 ,
  • 贠汉伯2 ,
  • 窦学诚3 ,
  • 吴青柏2 ,
  • 刘永智2 ,
  • 孙志忠2 ,
  • 陈 浩4 ,
  • 芮鹏飞2 ,
  • 李国臣5
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  • 1.甘肃农业大学 农学院, 甘肃 兰州 730070;
    2.中国科学院寒区旱区环境与工程研究所 冻土工程国家重点实验室,  甘肃 兰州 730000;
    3.甘肃农业大学 经济管理学院, 甘肃 兰州 730070;
    4.中国科学院寒区旱区环境与工程研究所, 冰冻圈科学国家重点实验室, 甘肃 兰州 730000;
    5.青藏铁路公司格尔木工务段, 青海 格尔木 816000

收稿日期: 2012-08-23

  修回日期: 2012-09-25

  网络出版日期: 2012-09-25

A Test on the Computing-model-aided Photograph-Reading Method for Conveniently Measuring the Vegetation Cover in the Permafrost Area along the Qinghai-Tibet Engineering Corridor

  • GONG Da-xin1 ,
  • YUN Han-bo2 ,
  • DOU Xue-cheng3 ,
  • WU Qing-bai2 ,
  • LIU Yong-zhi2 ,
  • SUN Zhi-zhong2 ,
  • CHEN Hao4 ,
  • RUI Peng-fei2 ,
  • LI Guo-chen5
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  • 1.College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China;
    2.State Key Laboratory of Frozen Soil Engineering, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
    3.College of Economics and Management, Gansu Agricultural University, Lanzhou 730070, China;
    4.State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
    5.Golmud Railway Administration of Qinghai-Tibet Railway Corporation, Golmud 816000, China

Received date: 2012-08-23

  Revised date: 2012-09-25

  Online published: 2012-09-25

摘要

植被盖度的变化动态可以在一定程度上反映气候环境的变化,是表征生态环境变化特征的一个直接的主导性指标, 对其测量的准确性可以在很大程度上影响对生态环境变化预报的精度。本研究利用普通照相法结合数字图像处理技术对青藏铁路和青藏公路沿线多年冻土段高寒植被的盖度进行调查研究, 并与传统的目估法、目视解译法进行了对比, 在此基础上对青藏工程走廊多年冻土段植被盖度进行简单评估。结果表明, 无论是青藏铁路沿线还是青藏公路沿线, 用模型处理法和目视解译法得到的植被盖度结果之间相关系数都最高,分别为R2=0.96和R2=0.97;比较结果表明, 用模型处理法比用简单目测法获得的植被盖度更接近实际覆盖度, 说明模型处理法适合应用于青藏工程走廊多年冻土段植被覆盖度动态快速测量。

本文引用格式

龚大鑫1 , 贠汉伯2 , 窦学诚3 , 吴青柏2 , 刘永智2 , 孙志忠2 , 陈 浩4 , 芮鹏飞2 , 李国臣5 . 青藏工程走廊多年冻土段植被覆盖度动态快速测量方法研究[J]. 中国沙漠, 2013 , 33(2) : 412 -418 . DOI: 10.7522/j.issn.1000-694X.2013.00057

Abstract

Vegetation cover may vary with climate change in some degree. The varitioan of vegetation cover was therefore regarded as a primary index for indicating ecological enviornmental change, and the accuracy of the measurement on the vegetation cover change is essential to forecasting ecological environmental changes resonably. By taking photographs of the vegetation in the permafrost area along the Qinghai-Tibet Engineering Corridor, then reading and analyzing the photos with a computing model, we achieved the caverage of the vegetation. At the same time when the photos were taken, we estimated the coverage by simple eye observing and cross eye observing. The result of comparison among the three methods showed that the coverage gotten by the computing-model aided method could be linearly regressed to that by cross eye observing mehtod (R2≥0.96), suggesting that the computing-model-aided photograph-reading method could be employed to monitor the variation of the vegetation in the permafrost area along the Qinghai-Tibet Engineering Corridor reliably and conviniently, sopposed the coverage obtained with the cross eye observing method was the actual coverage.

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