基于随机森林算法的青藏高原AMSR2被动微波雪深反演

王健顺, 王云龙, 周敏强, 刘畅宇, 黄晓东

Retrieved snow depth over the Tibetan Plateau using random forest algorithm with AMSR2 passive microwave data

Jianshun WANG, Yunlong WANG, Minqiang ZHOU, Changyu LIU, Xiaodong HUANG

表2 模拟退火算法变量筛选结果

Table 2 The results of selected variables with simulate annealing algorithm

地形、 地理 参数 亮温（BT） 亮温差（BTD） La √ 10H √ 10H10V √ 10H18H √ 10H18V × Lon × 10H23H × 10H23V × 10H36H √ Ele √ 10H36V × 10H89H × 10H89V √ 10V √ 10V18H × 10V18V × 10V23H × 10V23V × 10V36H × 10V36V × 10V89H × 10V89V × 18H × 18H18V × 18H23H √ 18H23V × 18H36H × 18H36V × 18H89H × 18H89V √ 18V × 18V23H × 18V23V √ 18V36H × 18V36V √ 18V89H × 18V89V × 23H × 23H23V √ 23H36H × 23H36V √ 23H89H × 23H89V √ 23V √ 23V36H × 23V36V × 23V89H × 23V89V × 36H × 36H36V √ 36H89H √ 36H89V × 36V × 36V89H × 36V89V × 89H × 89H89V × 89V √