基于PIE-Engine云计算平台的黄河流域郑州段监测系统
河南工业大学, 信息科学与工程学院, 河南郑州 450001
| 摘 要： | 本研究旨在充分利用PIE-Engine Studio遥感实时计算云平台，对黄河流域的生态环境进行全面评估。在此平台中，我们构建了专门用于黄河流域的监测系统，该系统整合了多源遥感数据，以提供全面的生态环境监测和评估。在黄河流域监测系统中，我们建立了河道变化、水体监测、植被覆盖、遥感生态指数分析等模块，以综合评估黄河流域生态系统长时间演变的趋势。河道变化模块通过实时遥感数据追踪河道形态的变化，为水资源管理提供重要信息。水体监测模块专注于监测水体质量和分布，以全面了解水资源的动态变化。植被覆盖模块利用遥感数据监测植被的覆盖情况，评估生态系统的健康状况。遥感生态指数对热度、干度、湿度、绿度进行分析，对得到的结果再进行评估，得到最后的分析评价。通过采用预警点识别方法，我们跨足不同的时空尺度，全面评估了黄河生态环境的质量。这一综合评估为地方提供了科学依据，并为生态环境的保护和规划决策提供了有力支持，为黄河流域的生态可持续发展提供了详实的数据和科学依据。 |
| 关 键 词： | PIE-Engine; 水体监测; 河道变化; 植被覆盖; 评估分析 |
| DOI： | 10.57237/j.wjese.2024.01.002 |
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收稿日期: 2023-12-31
接受日期: 2024-02-05
在线出版日期: 2024-03-11
Monitoring System of Zhengzhou Section of Yellow River Basin Based on PIE-Engine Cloud Computing Platform
College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| Abstract: | 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. |
| Keywords: | PIE-Engine; Water Monitoring; River Course Change; Vegetation Cover; Evaluation and Analysis |
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