为精准把握区域旱灾时空变化规律，并探索土壤湿度在线感知与精细化监测的新方法，通过真实、客观、动态的土壤湿度实测数据，通过集成多土壤湿度传感器与环境数据采集平台，实现同一区域、不同时间的土壤湿度数据精准采集与在线提取。基于Landsat 8卫星遥感数据，依托PIE-Engine平台优化算法，采用改进型垂直干旱指数（modified perpendicular drought index, MPDI），选取美国内布拉斯加州部分区域为研究对象，进行土壤湿度遥感提取，通过地面实测数据与遥感反演结果的对比，开展精度验证，相关系数达到0.694 4。不仅验证了PIE-Engine平台在MPDI在线土壤湿度提取中的可行性，更构建了多源数据协同的土壤湿度在线监测模式。可实现区域尺度的土壤湿度在线感知，为农业旱涝灾害预警提供了可推广的技术路径。

In order to accurately capture the spatiotemporal patterns of regional drought and explore innovative methods for online soil moisture perception, authentic, objective, and dynamic field measurements of soil moisture were obtained by implementing an integrated Sensor Web, enabling real-time monitoring of soil moisture data across different time ranges. Landsat 8 satellite data were processed through the PIE-Engine platform, and the modified perpendicular drought index (MPDI) was employed for soil moisture extraction in selected areas of Nebraska, USA. An integrated monitoring framework combining Sensor Web and remote sensing technologies was successfully established, enabling dynamic perception of spatiotemporal soil moisture data. The results show that the correlation coefficient between the remote sensing-derived soil moisture and the actual measurements reached 0.694 4, indicating relatively high accuracy. The feasibility of the PIE-Engine platform for the online extraction of soil moisture using MPDI was verified, an online soil moisture monitoring model based on multi-source data collaboration was established. Online perception of soil moisture at the regional scale can be achieved through this research, and a scalable technical pathway is provided for the early warning of agricultural drought and flood disasters.