基于集成学习技术的青海高原地表温度反演研究
辛萍萍1,2(
), 陈国茜1,3(), 周生蓉4, 文生祥1,5, 程俊清2, 田媛2
), 陈国茜1,3(), 周生蓉4, 文生祥1,5, 程俊清2, 田媛2
Research on land surface temperature retrieval over the Qinghai Plateau based on ensemble leaning technology
XIN Pingping1,2(), CHEN Guoqian1,3(), ZHOU Shengrong4, WEN Shengxiang1,5, CHENG Junqing2, TIAN Yuan2
), CHEN Guoqian1,3(), ZHOU Shengrong4, WEN Shengxiang1,5, CHENG Junqing2, TIAN Yuan2
图4. RF（a）、XGBoost（b）、LightGBM（c）模型反演及实际观测（d）的2021—2023年青海高原年平均地表温度空间分布
Fig.4. The spatial distribution of the annual land average surface temperature of the Qinghai Plateau during 2021-2023 based on the inversion of RF (a), XGBoost (b), and LightGBM (c) models and actual observations (d)
