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5. 归一化植被指数(NDVI)与影响因子相关分析。A, 耕地比例; AT, 年平均气温; D, 荒漠比例; F, 林地比例; G, 草地比例; GI, 放牧强度; HT, 年最高气温; LT, 年最低气温; P, 年累计降水量; U, 城市比例; W, 水体比例。
Fig. 5. Correlation coefficient between normalized differential vegetation index (NDVI) and impact factors. A, arable proportion; AT, annual average temperature; D, desert proportion; F, forest proportion; G, grassland proportion; GI, grazing intensity; HT, annual maximum temperature; LT, annual minimum temperature; P, annual cumulative precipitation; U, urban proportion; W, water body proportion.
