首页 | 本学科首页   官方微博 | 高级检索  
     检索      

青海湖流域草地产草量与MODIS植被指数的相关性分析
引用本文:周薇薇,殷青军.青海湖流域草地产草量与MODIS植被指数的相关性分析[J].盐湖研究,2012,20(4):8-12.
作者姓名:周薇薇  殷青军
作者单位:青海师范大学生命与地理科学学院,青海西宁,810008
摘    要:借鉴国内外基于遥感手段监测植被的方法,利用MODIS-NDVI遥感影像数据,探讨如何对草地变化进行监测。提取青海湖流域典型草原遥感影像植被指数,并与野外调查获得的79个样方生物量数据进行对比分析,建立了多个回归模型用于研究植被指数与草地产草量的相关关系。结果表明,植被指数与草地产草量之间存在较好的相关性,但是不同的回归模型与草地产草量相关性程度存在一定的差别,非线性回归模型优于一元线性回归模型,该方法的提出有助于监测青海湖流域草地变化情况。

关 键 词:草地产草量  植被指数  回归模型

Correlation Analysis of MODIS Vegetation Index and Grass Production in Qinghai Lake Basin
ZHOU Wei-wei,YIN Qing-jun.Correlation Analysis of MODIS Vegetation Index and Grass Production in Qinghai Lake Basin[J].Journal of Salt Lake Research,2012,20(4):8-12.
Authors:ZHOU Wei-wei  YIN Qing-jun
Institution:(College of Life and Geography Science,Qinghai Normal University,Xining,810008,China)
Abstract:By referring to domestic and international methods based on remote sensing to monitor vegetation,we focus on how to monitor grassland change using the MODIS-NDVI remote sensing data.Vegetation index of typical grasslands in the Qinghai Lake watershed has been extracted from remote sensing images and compared with grass production data of 79 plots.Multiple regression models are established to study the correlation between MODIS vegetation index and grass production.The results show that these two factors have good correlation,even if there are certain differences in the degree of correlation by different regression models.The nonlinear regression model has obvious superiority in comparison with the linear regression model.This method is conductive to monitor grassland change in the Qinghai lake watershed.
Keywords:Grass production  Vegetation index  Regression mode
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《盐湖研究》浏览原始摘要信息
点击此处可从《盐湖研究》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号