Remote Sensing Application in Ecological Restoration Monitoring: A Systematic Review

• Published in: Remote sensing (Basel, Switzerland) Vol. 16; no. 12; p. 2204
• Main Authors: Wang, Ruozeng, Sun, Yonghua, Zong, Jinkun, Wang, Yihan, Cao, Xuyue, Wang, Yanzhao, Cheng, Xinglu, Zhang, Wangkuan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2024
• Subjects: 21st century; Air pollution; Climate change; Data integration; Delphi method; Ecological monitoring; ecological restoration monitoring; Ecosystems; Effectiveness; Environmental degradation; Environmental governance; Environmental monitoring; Environmental restoration; evaluation method; Forests; Geographic information systems; Grasslands; Indicators; Keywords; Leopold, Aldo (1886-1948); Machine learning; Methods; Multisensor fusion; Remote monitoring; Remote sensing; Remote sensors; Restoration; satellite remote sensing; Soil water; Spatial discrimination; Spatial resolution; Technology assessment; Vegetation; Wetlands; China
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs16122204

In the context of the continuous degradation of the global environment, ecological restoration has become a primary task in global environmental governance. In this process, remote sensing technology, as an advanced monitoring and analysis tool, plays a key role in monitoring ecological restoration. This article reviews the application of remote sensing technology in ecological restoration monitoring. Based on a comprehensive analysis of the literature in the field of ecological remote sensing, it systematically summarizes the major in-orbit spaceborne and airborne sensors and their related products. This article further proposes a series of evaluation indicators for ecological restoration from four aspects: forests, soil, water, and the atmosphere, and elaborates on the calculation methods for these indicators. In addition, this paper also summarizes the methods for evaluating the effectiveness of ecological restoration, including subjective evaluation, objective evaluation, and comprehensive evaluation methods. Finally, we analyze the challenges faced by remote sensing technology in evaluating ecological restoration effectiveness, such as issues with the precision of indicators extraction, the limitations of spatial resolution, and the diversity of evaluation methods. This review also looks forward to future ecological restoration technologies, such as the potential applications of integrated aerospace and terrestrial remote sensing, multi-data fusion, and machine learning technologies. This study reveals the effectiveness of remote sensing technology in ecological restoration monitoring, aiming to provide efficient tools and innovative strategies for future remote sensing monitoring and assessment of ecological restoration.