Monitoring System of Zhengzhou Section of Yellow River Basin Based on PIE-Engine Cloud Computing Platform

This is the authors' abstract. We don't add key points for this paper.

This study aims to make full use of the PIE-Engine Studio remote sensing real-time computing cloud platform to comprehensively assess the ecological environment of the Yellow River Basin. In this platform, we constructed a monitoring system specifically for the Yellow River basin, which integrates multi-source remote sensing data to provide comprehensive ecological environmental monitoring and assessment. In the monitoring system of the Yellow River Basin, we have established modules such as river course change, water body monitoring, vegetation cover, and remote sensing ecological index analysis to comprehensively evaluate the trend of long-term evolution of the Yellow River Basin ecosystem. The channel change module tracks the changes in channel morphology through real-time remote sensing data, providing important information for water resources management. The water body monitoring module focuses on monitoring water quality and distribution to obtain a comprehensive understanding of the dynamics of water resources. The vegetation cover module uses remote sensing data to monitor vegetation cover and assess ecosystem health. The remote sensing ecological index analyzes heat, dryness, humidity, and greenness, and then evaluates the obtained results to obtain the final analysis and evaluation. By using the early warning point identification method, we comprehensively evaluated the ecological environment quality of the Yellow River across different spatial and temporal scales. This comprehensive assessment provides the local scientific basis, and provides strong support for the protection and planning decisions of the ecological environment, and provides detailed data and scientific basis for the ecological sustainable development of the Yellow River Basin.