【摘要】 区域下垫面热力状态是研究防灾减灾、气候变化、环境演变以及人地相互作用等一系列地球科学问题的重要出发点与纽带。地表温度是中巴经济走廊冰川、冻土、水文、生态以及灾害等众多环境问题的关键因子和基础数据。本数据集基于Landsat 8卫星热红外波段,采用多模型集成比较的方法,制备了中巴经济走廊地区2013年以来的高分辨率地表温度反演数据集,空间分辨率为30 m,时间分辨率为16天。采用的模型包括单通道反演模型、双通道劈窗反演模型以及数据融合模型,依据误差最小原则,自动制备了地表温度序列产品。为了控制数据的产品质量,将反演的地表温度与MODIS地表温度产品进行了全面比较。数据抽样结果表明:样本的一致性指数均大于0.84,Kling-Gupta系数在0.72以上。此外,通过对比验证,本数据产品在空间分辨率上具有明显优势。本数据集可用于中巴经济走廊区域地表温度时空变化监测,为科学研究、工程建设以及社会服务提供基础数据资料。更多还原

【Abstract】 Land surface temperature provides important basic data for research on, for example, hydrology, ecology, climate, natural disasters, environment and resources. A series of scientific issues in earth sciences, including disaster prevention and mitigation, climate change, environmental evolution and human-land interaction, all require a complete understanding of the thermal state of ground surface. Based on the thermal infrared bands of LANDSAT 8, a high-resolution temperature inversion dataset for the China–Pakistan Economic Corridor from 2013 to 2018 was built by using multiple LST inversion models. The data has a spatial resolution of 30 m and a temporal resolution of 16 days. The study uses different models to retrieve land surface temperature data, such as single-channel inversion model, double-channel split-window inversion model and data fusion model. For data quality verification, the temperature data are validated against MODIS MOD11 A1 V6 surface temperature products. A sample test shows that the agreement index is greater than 0.84 and the Kling-Gupta coefficient is greater than 0.72. A comparison and verification shows that this data product has a higher spatial resolution. The dataset can be used to study the spatiotemporal change of natural environment, providing basic data for relevant scientific research, engineering construction and social service along the China–Pakistan Economic Corridor.更多还原