|
| 中国近海鱼类栖息地遥感研究进展 |
| Research Progress on Remote Sensing for Chinas Inshore Fish Habitats |
| |
| DOI： |
| 中文关键词: 鱼类栖息地 遥感监测 环境因子 多参数应用 多源数据融合 中国近海 |
| 英文关键词: Fish habitats Remote sensing monitoring Environmental factors Multi parameter application Multi source data fusion Chinas inshore |
| 基金项目:国家自然科学基金资助项目（62071457）；湖北省重点研发计划基金资助项目（2023BCB104）；三峡工程鱼类资源保护湖北省重点实验室开放基金资助项目（2022055-ZHX） |
|
| 摘要点击次数: 29 |
| 全文下载次数: 14 |
| 中文摘要: |
| 总结了我国近海鱼类栖息地遥感监测的研究热点和发展趋势，归纳了近海鱼类栖息地的主要影响因子及其功能与遥感监测数据来源。概述了我国近海环境因子遥感监测方法，介绍了海表温度（SST）、海表盐度（SSS）、叶绿素a（Chl a）等典型环境因子，以及多参数综合的遥感监测应用实例。分析了未来近海鱼类栖息地遥感监测亟待解决的关键问题及发展方向，主要包括提升卫星遥感数据的质量与精度，实现多源数据的有效融合；突破现有反演方法的局限，推进多算法的协同耦合应用；应对海洋污染与水质恶化等对遥感监测的挑战；加强跨学科交叉融合，推动近海环境因子数据的开放共享。 |
| 英文摘要: |
| This study summarized the research hotspots and development trends of remote sensing monitoring for Chinas inshore fish habitats， concluded the main influencing factors and their functions to inshore fish habitats， and the sources of remote sensing monitoring data. It outlined the remote sensing methods for monitoring inshore environmental factors in China， described typical environmental factors such as sea surface temperature（SST）， sea surface salinity（SSS）， chlorophyll a（Chl a）， as well as practical applications of comprehensive multi parameter remote sensing monitoring. It analyzed pressing issues and future development directions in remote sensing monitoring of inshore fish habitats， mainly including improving the quality and accuracy of satellite remote sensing data， achieving effective fusion of multi source data， breaking through the limitations of existing inversion methods， promoting the collaborative coupling application of multiple algorithms， strengthening interdisciplinary integration and promoting the open sharing of inshore environmental factor data to address the challenges of remote sensing monitoring posed by marine pollution and water quality degradation. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
