基于随机森林模型的内陆干旱区植被指数变化与驱动力分析: 以北天山北坡中段为例
张文强1,2, 罗格平1,2,3,*(
), 郑宏伟1,2, 王浩4, HAMDI Rafiq1,5,6, 何惠丽1,2, 蔡鹏1,2, 陈春波1,2
), 郑宏伟1,2, 王浩4, HAMDI Rafiq1,5,6, 何惠丽1,2, 蔡鹏1,2, 陈春波1,2
Analysis of vegetation index changes and driving forces in inland arid areas based on random forest model: a case study of the middle part of northern slope of the north Tianshan Mountains
ZHANG Wen-Qiang1,2, LUO Ge-Ping1,2,3,*(), ZHENG Hong-Wei1,2, WANG Hao4, HAMDI Rafiq1,5,6, HE Hui-Li1,2, CAI Peng1,2, CHEN Chun-Bo1,2
), ZHENG Hong-Wei1,2, WANG Hao4, HAMDI Rafiq1,5,6, HE Hui-Li1,2, CAI Peng1,2, CHEN Chun-Bo1,2
图6. 多元线性回归模型(MLR)(A)和随机森林(RF)归一化植被指数(NDVI)拟合值(B)在2000 (1)、2005 (2)、2010 (3)和2015年(4)的验证散点图。MAE, 平均绝对误差; RMSE, 均方根误差。
Fig. 6. Scatter plot of normalized differential vegetation index (NDVI) fitting values of Multiple Linear Regression (MLR)(A) and Random Forest (RF)(B) in 2000 (1), 2005 (2), 2010 (3) and 2015 (4). MAE, mean absolute error; RMSE, root mean square error.
