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Predicting Soil Organic Carbon Stock in Plateau Swamp Wetlands Using Multisource Remote Sensing and Spectral Measurements: A Case Study of the Dianchi Basin

文献类型：期刊论文

作者Cai, Fangliang1,2,3; Tang, Bo-Hui1,2,3,4; Ji, Xinran1,2,3; Chen, Junyi1,2,3; Fu, Zhitao1,2,3; Ge, Zhongxi1,2,3
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2025
卷号63页码:4403914
关键词Wetlands Soil Carbon Remote sensing Soil measurements Monitoring Predictive models Prediction algorithms Accuracy Vegetation mapping Multisource remote sensing Sentinel-2 (S2) soil organic carbon density (SOCD) spectral information swamp wetlands
ISSN号0196-2892
DOI10.1109/TGRS.2025.3541122
产权排序4
文献子类Article
英文摘要Soil organic carbon density (SOCD) in swamp wetlands is a critical indicator for assessing global carbon stocks. In plateau wetlands, challenges such as dense vegetation cover and fragmented land distribution complicate SOCD research. The availability of high-resolution optical and radar satellite data introduces new possibilities for precise carbon stock predictions. This study proposes a framework that combines multisource remote sensing data with the sparrow search algorithm random forest (SSA-RF) algorithm to predict SOCD in plateau swamp wetlands. It also compares the effectiveness of laboratory spectroscopy and multisource remote sensing in monitoring SOCD. We integrated 24 features from Sentinel-1 (S1), Sentinel-2 (S2), topographic, and climatic data, along with spectral data ranging from 550 to 1400 nm, to construct the SSA-RF model and map the SOCD distribution of swamp wetlands in Dianchi Basin. Additionally, we estimated the total soil organic carbon (SOC) stock in these wetlands. The results indicate that the multisource remote sensing SSA-RF model (S1+ S2+ topographic + climatic SSA-RF) achieved an R-2 of 0.76, a root-mean-square error (RMSE) of 1.14, a mean absolute error (MAE) of 0.65, and a residual predictive deviation (RPD) of 1.98. Compared to the spectral model, this model improved the R-2 by 0.24 and the RPD by 0.5. Relative to the S1+ S2 SSA-RF model, the R-2 is increased by 0.15, and the RMSE is decreased by 0.46. The total SOC stock of the swamp wetlands in the Dianchi Basin was estimated to be 1.32x 10(5) t. This study provides a new framework for predicting carbon stocks in plateau wetlands, offering a reference for global wetland carbon sink assessments.
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WOS关键词REFLECTANCE SPECTROSCOPY ; AGRICULTURAL SOILS ; RANDOM FOREST ; RIVER DELTA ; CLASSIFICATION ; VEGETATION ; PEATLANDS ; AIRBORNE ; MATTER
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001500411900026
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://ir.igsnrr.ac.cn/handle/311030/214561]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Tang, Bo-Hui
作者单位1.Kunming Univ Sci & Technol, Fac Land & Resource Engn, Kunming 650093, Peoples R China;
2.Yunnan Key Lab Quantitat Remote Sensing, Kunming 650093, Peoples R China;
3.Yunnan Int Joint Lab Integrated Sky Ground Intelli, Kunming 650093, Peoples R China;
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Cai, Fangliang,Tang, Bo-Hui,Ji, Xinran,et al. Predicting Soil Organic Carbon Stock in Plateau Swamp Wetlands Using Multisource Remote Sensing and Spectral Measurements: A Case Study of the Dianchi Basin[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2025,63:4403914.
APA Cai, Fangliang,Tang, Bo-Hui,Ji, Xinran,Chen, Junyi,Fu, Zhitao,&Ge, Zhongxi.(2025).Predicting Soil Organic Carbon Stock in Plateau Swamp Wetlands Using Multisource Remote Sensing and Spectral Measurements: A Case Study of the Dianchi Basin.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,63,4403914.
MLA Cai, Fangliang,et al."Predicting Soil Organic Carbon Stock in Plateau Swamp Wetlands Using Multisource Remote Sensing and Spectral Measurements: A Case Study of the Dianchi Basin".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63(2025):4403914.

入库方式： OAI收割

来源：地理科学与资源研究所

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