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绿洲生态系统生物量与植被指数分析

刘卫国1;高炜1,2;高志强3;郭凯1;吕光辉1   

  1. 1新疆大学资源与环境科学学院 干旱半干旱可持续发展国际研究中心, 乌鲁木齐 830046;2美国科罗拉多洲立大学,科罗拉多洲 80309;3中国科学院地理科学与资源研究所, 北京 100101

  • 收稿日期:2005-05-30 修回日期:2006-05-10 出版日期:2006-09-10 发布日期:2006-09-10

Plant biomass and vegetation index of oasis ecosystem

LIU Weiguo1; GAO Wei1,2;GAO Zhiqiang3; GUO Kai1; LU Guanghui1   

  1. 1International Center for Desert Affairs-Research for Sustainable Development in Semi-Arid and Arid Land, College of Resources and Environment Science,Xinjiang University, Urumqi 830046, China; 2Natural Resource Ecology Laboratory, Colorado State University, Fort Collins Colorado, 80309, USA; 3Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

  • Received:2005-05-30 Revised:2006-05-10 Online:2006-09-10 Published:2006-09-10

摘要: 利用阜康绿洲野外实测的53个样方的植物生物量数据与同期陆地卫星MODIS影像的第1,2通道250 m遥感数据,分析植被指数与绿洲植物生物量的相关关系,建立植被指数与绿洲植物生物量的一元线性和非线性回归模型。结果表明,植被指数NDVI和MSAVI与绿洲生态系统植物生物量之间存在较好的相关性;所建植被指数与植物生物量的回归模型中,三次方程为所得到的回归模型中最适合用于绿洲生态系统植物生物量和生长监测。

关键词: 变差函数, 克立格插值法, 褐飞虱, 空间结构

Abstract: By using the measured data from 53 sampling sites in Fukang oasis and the related remote sensing data with 250 m resolution from 1-2 band of MODIS Thematic Mapper, this paper analyzed the relationships between plant biomass and vegetation index of oasis ecosystem, and established their monadic linear and non-linear regression models. The results showed that there was a significant correlation between the plant biomass and vegetation indices NDVI and MSAVI. Among the established models, cubic equation was the most available in monitoring oasis ecosystem plant biomass and growth.

Key words: Variograms, Ordinary Kriging, Nilaparvata lugens, Spatial structure