{"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.