地球信息科学学报 ›› 2018, Vol. 20 ›› Issue (11): 1631-1643.doi: 10.12082/dqxxkx.2018.180247

• 遥感科学与应用技术 • 上一篇    下一篇

红树林遥感动态监测研究进展

周振超1,2(), 李贺2, 黄翀2,*(), 刘庆生2, 刘高焕2, 何云2, 于涵1   

  1. 1. 吉林大学地球探测科学与技术学院,长春 130026
    2. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101
  • 收稿日期:2018-05-16 修回日期:2018-09-14 出版日期:2018-11-20 发布日期:2018-11-20
  • 通讯作者: 黄翀 E-mail:657492111@qq.com;huangch@lreis.ac.cn
  • 作者简介:

    作者简介:周振超(1992-),女,硕士生,主要从事林业遥感研究。E-mail: 657492111@qq.com

  • 基金资助:
    中国科学院战略性先导科技专项(A 类)(XDA19060302);红树林资源遥感监测与评估(2017FY100706);中国地质调查局“一带一路”地区资源环境卫星遥感解译与应用基金资助项目(DD20160117)

Review on Dynamic Monitoring of Mangrove Forestry Using Remote Sensing

ZHOU Zhenchao1,2(), LI He2, HUANG Chong2,*(), LIU Qingsheng2, LIU Gaohuan2, HE Yun2, YU Han1   

  1. 1. College of Geo-Exploration Science and Technology,Jilin University,Changchun 130026,China
    2. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2018-05-16 Revised:2018-09-14 Online:2018-11-20 Published:2018-11-20
  • Contact: HUANG Chong E-mail:657492111@qq.com;huangch@lreis.ac.cn
  • Supported by:
    Strategic Priority Research Program of the Chinese Academy of Sciences(A class), No.XDA19060302;Mangrove Resources Remote Sensing Monitoring and Evaluation, No.2017FY100706;China Geological Survey “Belt and Road” Regional Resource and Environment Satellite Remote Sensing Interpretation and Application Funding Project, No.DD20160117.

摘要:

红树林动态是地理学、生态学和湿地学等学科关注的热点之一。遥感技术具有宏观性、高效性和经济性等特点,在红树林动态监测中发挥日益重要的作用。本文通过关键词对Web of Science和中国知网2个数据库自2000年以来发表的文章进行梳理和归纳,从研究区域分布、文献数量、遥感监测数据源与方法、全球红树林动态以及全国红树林动态变化分析5个方面总结了近20年来国内外对于红树林遥感动态监测研究进展。研究结果表明,多传感器高时空分辨率数据将成为红树林遥感动态监测的重要数据源。将雷达数据和光学遥感数据进行融合,有助于进一步提升红树林卫星遥感监测能力。无人机平台搭载多种类型的传感器(如多光谱、高光谱或激光雷达传感器),可以从不同方面获取红树林生态系统参数,结合遥感智能分析算法,有助于推动红树林遥感研究向纵深方向发展。红树林遥感动态监测相关研究表明,全球红树林总面积范围大致在1.1×108 ~2.4×108 hm2,总体仍呈减少趋势,而在区域上中国红树林面积则有所恢复。本文最后对红树林遥感动态监测的发展趋势进行了展望。

关键词: 红树林, 遥感, 分类, 传感器, 动态监测

Abstract:

:Mangrove dynamics is one of the hotspots of geography, ecology and wetland science. Remote sensing technology is characterized by macroscopicity, high efficiency and economy, and plays an increasingly important role in the dynamic monitoring of mangroves. This paper searches and summarizes the articles published by Web of Science and China Knowledge Network from 2000 on the basis of keywords, from research area distribution, number of documents, remote sensing data sources and methods, global mangrove dynamics and national red The five aspects of dynamic change analysis of forests summarize the research progress on dynamic monitoring of mangrove remote sensing in the past 20 years. The research results show that multi-sensor high spatial and temporal resolution data will become an important data source for mangrove remote sensing dynamic monitoring. The fusion of radar data and optical remote sensing data will help to further enhance the mangrove satellite remote sensing monitoring capability. The UAV platform is equipped with various types of sensors (such as multi-spectral, hyperspectral or lidar sensors), which can obtain mangrove ecosystem parameters from different aspects. Combined with remote sensing intelligent analysis algorithms, it helps mangrove remote sensing research in the depth direction. development of. The total area of ??mangrove forests monitored by mangrove remote sensing is roughly 11 million to 24 million hectares , and the overall trend is still decreasing. In the region, the area of ??mangroves in China has recovered. At the end of this paper, the development trend of mangrove remote sensing dynamic monitoring is prospected.

Key words: mangrove, remote sensing, classification, sensor, dynamic monitoring