Estimation of Aboveground Vegetation Carbon Storage in Coastal Salt Marshes based on ZhuHai-1 Hyperspectral Satellite Images

Yue Zou, Huan Li, W. Lin, Jiabao Zhang
{"title":"Estimation of Aboveground Vegetation Carbon Storage in Coastal Salt Marshes based on ZhuHai-1 Hyperspectral Satellite Images","authors":"Yue Zou, Huan Li, W. Lin, Jiabao Zhang","doi":"10.1145/3594692.3594696","DOIUrl":null,"url":null,"abstract":"Since the carbon reserve of salt marsh vegetation is a key parameter for studying the carbon cycle of coastal wetland ecosystem, it is of great practical significance to study the carbon reserve of multi-species salt marsh vegetation under the background of \"carbon peak and carbon neutrality\". In this paper, the image of ZhuHai-1 in the core area of Yancheng Wetland Rare Birds National Nature Reserve in Jiangsu, China was taken as the data source. In this paper, Support Vector Machine was used to distinguish vegetation types. Based on PROSAIL radiation transfer model, the forward relationship between vegetation carbon reserve and reflectivity of canopy spectral response was quantitatively analyzed, and the paired data set of the two was constructed. In addition, this paper quantified the relationship between simulated carbon reserve and simulated reflectivity of canopy spectral through neural network model, which was used in the remote sensing image of ZhuHai-1, so as to obtain the spatial and temporal distribution of carbon reserve of salt marsh. According to the statistics, the total carbon reserve of the Spartina alterniflora was 5.74×104 tons, the total carbon reserve of the suaeda was 0.21×104 tons, and the total carbon reserve of the breed was 2.9×104 tons. This study can provide technical support for ecological protection and restoration of coastal salt marshes and carbon sequestration and storage by vegetation.","PeriodicalId":207141,"journal":{"name":"Proceedings of the 2023 12th International Conference on Informatics, Environment, Energy and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 12th International Conference on Informatics, Environment, Energy and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3594692.3594696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Since the carbon reserve of salt marsh vegetation is a key parameter for studying the carbon cycle of coastal wetland ecosystem, it is of great practical significance to study the carbon reserve of multi-species salt marsh vegetation under the background of "carbon peak and carbon neutrality". In this paper, the image of ZhuHai-1 in the core area of Yancheng Wetland Rare Birds National Nature Reserve in Jiangsu, China was taken as the data source. In this paper, Support Vector Machine was used to distinguish vegetation types. Based on PROSAIL radiation transfer model, the forward relationship between vegetation carbon reserve and reflectivity of canopy spectral response was quantitatively analyzed, and the paired data set of the two was constructed. In addition, this paper quantified the relationship between simulated carbon reserve and simulated reflectivity of canopy spectral through neural network model, which was used in the remote sensing image of ZhuHai-1, so as to obtain the spatial and temporal distribution of carbon reserve of salt marsh. According to the statistics, the total carbon reserve of the Spartina alterniflora was 5.74×104 tons, the total carbon reserve of the suaeda was 0.21×104 tons, and the total carbon reserve of the breed was 2.9×104 tons. This study can provide technical support for ecological protection and restoration of coastal salt marshes and carbon sequestration and storage by vegetation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于珠海一号高光谱卫星影像的滨海盐沼地上植被碳储量估算
盐沼植被碳储量是研究滨海湿地生态系统碳循环的关键参数,研究“碳峰碳中和”背景下多物种盐沼植被的碳储量具有重要的现实意义。本文以中国江苏省盐城湿地珍稀鸟类国家级自然保护区核心区珠海一号影像为数据源。本文采用支持向量机对植被类型进行识别。基于PROSAIL辐射传输模型,定量分析了植被碳储量与冠层光谱响应反射率的正演关系,构建了两者的配对数据集。此外,通过神经网络模型量化模拟碳储量与模拟冠层光谱反射率之间的关系,并将其应用于珠海一号遥感影像,从而获得盐沼碳储量的时空分布。经统计,互花米草总碳储量为5.74×104吨,甜田总碳储量为0.21×104吨,品种总碳储量为2.9×104吨。本研究可为海岸带盐沼生态保护与恢复、植被固碳储汇等提供技术支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research and Design of Intelligent Farmland Irrigation System Based on Neural Network Mean estimation of electricity consumption data based on PID and local differential privacy Air Path Flow And Concentration Distribution Simulation Of Particulate Pollutants In A Data Center Using Air-side Economizer Reducing QoE Loss and Data Wastage of Short-form Video Streaming with HTTP/3 Prioritization Anomaly Detection Method for Time Series Data Based on Transformer Reconstruction
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1