Advancing Sustainable Ecological Environmental Monitoring: Strategies and Innovations

Dear Colleagues,

Global climate change and intensified human activities are exerting unprecedented pressure on ecosystems, posing severe challenges to the achievement of the United Nations Sustainable Development Goals (SDGs). In this context, the integration and application of innovative methods such as remote sensing, artificial intelligence (AI), and big data analytics provide critical technical support for accurately monitoring ecological dynamics, quantifying ecological risks, tracking pollution distribution, and assessing the impacts of climate change. These technologies are increasingly becoming vital forces in promoting sustainable ecological development.

This Special Issue aims to systematically explore the key roles and application potential of cutting-edge technologies—including remote sensing, AI, and big data analytics—in global ecological environment monitoring and assessment. The scope encompasses technology-enabled environmental state monitoring, ecological evaluation, risk assessment, and conservation planning, among other areas. The Issue will focus on how to deeply integrate advanced technologies into the entire "monitoring–assessment–decision-making" chain of ecological management. This will strengthen the scientific foundation for environmental governance, ecological restoration, and sustainable development policy-making.

By introducing innovative technologies, representative case studies, and forward-looking strategies, this Special Issue seeks to advance the field of ecological and environmental monitoring toward greater efficiency, intelligence, and sustainability, thereby providing a valuable supplement to existing research. We welcome submissions of original research articles and reviews for this Issue.

Prof. Dr. Xiuhong Li
Guest Editor

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