乌鲁木齐市主城区绿量的遥感估算

Green Volumes Measurement in Urumqi City Based on Remote Sensing

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=15.4872>F0.05=6.07),模型有一定的可行性。

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.