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

乌鲁木齐市主城区绿量的遥感估算
引用本文:周芳,安放舟,王虎贤.乌鲁木齐市主城区绿量的遥感估算[J].广西科学院学报,2010,26(2):124-127.
作者姓名:周芳  安放舟  王虎贤
作者单位:1. 新疆大学资源与环境科学学院,新疆乌鲁木齐,830046
2. 新疆建材设计研究院,新疆乌鲁木齐,830006
摘    要:对2008年8月覆盖乌鲁木齐市主城区的IKONOS遥感影像进行预处理提取植被信息,再用代表性样地法采集主城区乔木树种的样点数据计算主城区绿量,选定归一化植被指数(NDVI)、土壤调节植被指数(SAVI)、修正土壤调节指数(MSAVI)和比值植被指数(RVI)做为自变量,以实测样本数据作为应变量,采用多元回归分析法建立基于遥感影像的乌鲁木齐市绿量遥感估算模型:Y=449.6NDVI+285.82SAVI-161.51,R=0.67,绿量与植被指数之间存在一定的相关关系(F=15.4872F0.05=6.07),模型有一定的可行性。

关 键 词:绿量  遥感  IKONOS卫星图像  植被指数
收稿时间:2009/5/13 0:00:00
修稿时间:2009/10/15 0:00:00

Green Volumes Measurement in Urumqi City Based on Remote Sensing
ZHOU Fang,AN Fang-zhou and WANG Hu-xian.Green Volumes Measurement in Urumqi City Based on Remote Sensing[J].Journal of Guangxi Academy of Sciences,2010,26(2):124-127.
Authors:ZHOU Fang  AN Fang-zhou and WANG Hu-xian
Institution:1.Xinjiang University Resources and Environmental Science Institute,Urumqi,Xinjiang,830046,China;2.Xinjiang Building Materials Design Institute,Urumqi,Xinjiang,830006,China)
Abstract:The IKONOS remote sensing images of August 2008 which covered the main city area in Urumqi is preprocessed firstly,then sampled data of arbors in main city area collected by representative plot sampling method to calculate the living vegetation volumes in main area.Furthermore,Normalized Difference Vegetation(NDVI),Soil-Adjusted Vegetation(SAVI),Modified Soil-Adjusted Index(MSAVI) and Ratio Vegetation Index(RVI) is setted for independent variable and survey samples for dependant variable,then the living vegetation volume estimation model of Urumqi based on remote sense is constructed by multiple regression: Y=449.6NDVI+285.82SAVI-161.51(F=15.4872F0.05=6.07).Sort of correlative relationship does exist between living vegetation volume and vegetation index,and the model be provided feasible in a sense.
Keywords:living vegetation volume  remote sensing  IKONOS images  vegetation index
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《广西科学院学报》浏览原始摘要信息
点击此处可从《广西科学院学报》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