全球湿地遥感研究综述：1975年—2020年

毛德华; 王宗明; 贾明明; 罗玲; 牛振国; 蒋卫国; 孙伟伟

doi:10.11834/jrs.20231022

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全球湿地遥感研究综述：1975年—2020年
Review of global studies on the remote sensing of wetlands from 1975 to 2020
2023年27卷第6期页码：1270-1280
收稿：2021-01-20，

纸质出版：2023-06-07
DOI： 10.11834/jrs.20231022
稿件说明：

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毛德华，王宗明，贾明明，罗玲，牛振国，蒋卫国，孙伟伟.2023.全球湿地遥感研究综述：1975年—2020年.遥感学报，27（6）： 1270-1280 DOI： 10.11834/jrs.20231022.

Mao D H， Wang Z M， Jia M M， Luo L， Niu Z G， Jiang W G and Sun W W. 2023 Review of global studies on the remote sensing of wetlands from 1975 to 2020. National Remote Sensing Bulletin， 27（6）：1270-1280 DOI： 10.11834/jrs.20231022.

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

Keywords

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