Review of global studies on the remote sensing of wetlands from 1975 to 2020
- Vol. 27, Issue 6, Pages: 1270-1280(2023)
Published： 07 June 2023
DOI： 10.11834/jrs.20231022
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摘要
在显著气候变化叠加人类活动干扰的背景下，可持续的湿地生态系统管理对于湿地空间信息的需求不断提升，湿地遥感作为重要的交叉学科方向，研究成果日益增多。本文以Web of Science核心合集为数据库，通过检索过去50年湿地遥感论文成果，总结了湿地遥感研究全球发文量和引文量的变化情况；进行文献计量分析，探讨湿地遥感研究的发展历程和发展趋势。论文将湿地遥感研究划分为潜力探索期、框架成形期、快速增长期3个阶段，进而总结分析了不同阶段湿地遥感的研究主题和主要数据源；最后基于VOCviewer软件对湿地遥感研究热点关键词进行综述，从大数据时代背景下的湿地遥感分类及景观动态、精细化的湿地生态参量遥感观测、湿地可持续管理空间决策支持3个方面进行了未来研究趋势的展望。本研究将为理解国际湿地遥感研究发展历史、把握湿地遥感研究国际前沿、进行国内湿地遥感研究布局提供借鉴。
Abstract
Sustainable ecosystem management requires considerable wetland spatial information given the evident climate change impacts and human disturbances on wetlands. Remote sensing of wetlands
as an important interdiscipline
has increasing publications. Here
we searched for published papers in the past 50 years from the “Web of Science Core Collection” database. We summarized the changes in the number of publications and citations and the development process and trend in remote sensing of wetlands. We divided the development history into three research periods including potential exploration phase
framework emerging phase
and rapid growth phase. Based on the development history over the past 50 years and facing the background of wetland ecosystem protection demand in the era of big data
studies on remote sensing of wetlands have developed in the direction of fast
multisource
and fine
such as wetland intelligent classification
remote sensing inversion of large-scale wetland vegetation ecological parameters
and wetland ecosystem health assessment. However
the spectral and backscattering characteristics of wetlands are complex due to the interaction of water
vegetation
and soil
and their annual/inter-annual variation characteristics are notable
aggravating the difficulty of remote sensing detection of wetlands. This condition is a key issue that requires resolution at present. Thus
the multimodal remote sensing experiments of wetlands should be strengthened. We also concluded the main research topics and data sources in different phases and analyzed the hotspots in remote sensing of wetlands by the extracted keywords from 500 latest and top-cited papers. Three outlook bullets were presented from the wetland classification and landscape dynamics in the era of big data
the fine remote sensing observations in wetland ecological variables
and the spatial decision support for sustainable wetland management. Based on cloud platforms (such as GEE)
carrying out large-scale and long-term wetland mapping and landscape dynamic analysis by means of time series remotely sensed data (i.e.
Landsat and Sentinel)
investigating the application potential of diverse machine learning algorithms (i.e.
random forest and deep learning) for wetland ecological parameter inversion at different geographic scales
establishing a scientific indicator system
and fully applying the multisource and multiplatform remote sensing observation technology to solve the actual ecological environment problems are important development trends and research hotspots of future wetland remote sensing studies. We hope that this review not only provides a glimpse
but also a framework understanding of wetland remote sensing research. With the improvement on the awareness of the importance of wetland ecosystem
the number of scholars engaged in research of remote sensing of wetlands increases. The review is expected to be beneficial for understanding the development history and international frontiers for studies in remote sensing of wetlands and to support their layout domestically and abroad.
关键词
全球尺度湿地遥感综述长时序大数据人工智能云平台可持续发展
Keywords
global scaleremote sensing of wetlandsreviewlong time seriesbig dataartificial intelligencecloud platformsustainable development
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Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University
Tsinghua Urban Institute, Tsinghua University
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