利用地形、土壤和作物信息辅助提高东北漫岗地数字高程模型精度的新方法

马雨阳,官海翔,杨昊轩,邵帅,邵逸群,刘焕军

A New Method to Improve the Accuracy of Digital Elevation Model in Northeast China by Using Terrain, Soil and Crop Information

MA YuYang,GUAN HaiXiang,YANG HaoXuan,SHAO Shuai,SHAO YiQun,LIU HuanJun

表5 预选变量和输入变量的共线性诊断

Table 5 Collinear diagnosis of pre-selected variables and input variables

共线性统计 Collinearity statistics 容忍度 Tolerance 方差膨胀因子VIF 预选因子Preselected variable 归一化植被指数NDVI 0.676 1.479 归一化湿度指数NDMI 0.021 47.941 湿度TCW 0.004 226.167 亮度TCB 0.002 410.595 绿度TCG 0.349 2.862 潜在太阳辐射PSR 0.885 1.131 航天飞机雷达地形测绘任务SRTM 0.193 5.177 输入因子Input variables 归一化植被指数NDVI 0.717 1.394 归一化湿度指数NDMI 0.136 7.366 亮度TCB 0.124 8.071 潜在太阳辐射PSR 0.786 1.273 SRTM 0.901 1.110