School of Resources and Environmental Science, Hubei University, Wuhan 430062, China.
Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan, Hubei 430062, China.
Comput Intell Neurosci. 2022 May 30;2022:6815102. doi: 10.1155/2022/6815102. eCollection 2022.
In order to study a big data technology research for the evaluation of wetland resource ecosystem value. This paper proposes a wetland dimension oriented to the evaluation of wetland ecosystem services space attribute through big data coupling analysis framework. The framework used China's coastal wetlands as a case for empirical research and summarized the future direction of the research on the value evaluation of wetland ecosystem services in the era of big data. The result shows: Wetland Ecosystem Observation Network can obtain long-term series of dynamic data, remote sensing Earth observation can realize the integrated observation of space, space, and Earth, the combination of the two will help to build a wetland ecological big data observation system. The service value of China's coastal wetland ecosystem is 5010.32 × 108 yuan. The research results can effectively solve the problem of geographical heterogeneity and have reference value for the protection and management of the wetland ecosystem.
为了研究大数据技术对湿地资源生态系统价值的评价。本文通过大数据耦合分析框架，提出了一种面向湿地生态系统服务空间属性评价的湿地维度。该框架以中国沿海湿地为例进行实证研究，并总结了大数据时代湿地生态系统服务价值评价的未来研究方向。结果表明：湿地生态观测网络可以获取长期的动态数据，遥感地球观测可以实现空间、空间和地球的综合观测，两者的结合将有助于建立湿地生态大数据观测系统。中国沿海湿地生态系统的服务价值为 5010.32×108 元。研究结果可以有效解决地理异质性问题，对湿地生态系统的保护和管理具有参考价值。
Zotero 插件