基于无人机多光谱影像的海滨景区浒苔信息提取研究
文献类型：期刊论文
| 作者 | 李冬雪; 高志强 ; 尚伟涛; 姜晓鹏; 宋德彬; 张媛媛
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| 刊名 | 海洋环境科学
 |
| 出版日期 | 2020-05-26 |
| 卷号 | 39期号:03页码:438-446 |
| 关键词 | 浒苔 海滨景区 无人机 植被指数 生物量 |
| ISSN号 | 1007-6336 |
| 其他题名 | Information extraction of Ulva Prolifera from coastal landscape using UAV m ultispectral remote sensing images |
| 产权排序 | (1) 中国科学院烟台海岸带研究所 ; (2) 中国科学院大学 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Since 2007,green tides（also called Ulva prolifera） occurred every summer in the Yellow Sea,causing ecological problems in the coastal environment of Shandong Peninsula.A large number of Ulva prolifera on shore will rot and stink if not handled in time,which seriously affects the tourism and the health of residents in coastal landscape.In order to improve the accuracy of monitoring green tide disasters,and to improve the efficiency of the cleaning up and disposal of Ulva prolifera at key prevention and control area,In this study,the high-precision image of UAV is used to monitor the green tide disaster in Yintan landscape of Rushan City.With the spectral characteristics of Ulva prolifera and coastal vegetation measured by spectroradiometer,four vegetation indices were used to analyze and identify the Ulva prolifera and coastal vegetation,and to verify the extraction of Ulva prolifera and coastal vegetation under different vegetation indices,and based on this extraction method,the biomass of coastal green tide algae was estimated.The results show that in the red-edge band,Ulva prolifera and coastal vegetation can be distinguished. MTCI（MERIS terrestrial chlorophyll index） is more suitale,with the accuracy of 91.3%,followed by SRredge,NDVIredge and MSRredge,with the accuracy of 85.3%,83.8% and 81.2%,respectively; Estimation model of biomass based on MTCI index showed that about 600 tons of Ulva prolifera were estimated in 300 m study area.An effective method for dynamic monitoring and cleaning up of green tide disaster is provided. |
| 语种 | 中文 |
| 资助机构 | 国家自然科学基金项目(41876107) ; 山东省联合基金项目(U1706219) ; 科技部基础支撑项目(2014FY210600) ; 青岛海洋科学与技术国家实验室鳌山科技创新计划项目(2016ASKJ02) |
| 源URL | [http://ir.yic.ac.cn/handle/133337/25172]  |
| 专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 烟台海岸带研究所_海岸带信息集成与综合管理实验室 |
| 作者单位 | 1.中国科学院烟台海岸带研究所; 2.中国科学院大学 |
| 推荐引用方式 GB/T 7714 | 李冬雪,高志强,尚伟涛,等. 基于无人机多光谱影像的海滨景区浒苔信息提取研究[J]. 海洋环境科学,2020,39(03):438-446. |
| APA | 李冬雪,高志强,尚伟涛,姜晓鹏,宋德彬,&张媛媛.(2020).基于无人机多光谱影像的海滨景区浒苔信息提取研究.海洋环境科学,39(03),438-446. |
| MLA | 李冬雪,et al."基于无人机多光谱影像的海滨景区浒苔信息提取研究".海洋环境科学 39.03(2020):438-446. |
入库方式： OAI收割
来源：烟台海岸带研究所
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