Improved Surface Soil Organic Carbon Mapping of SoilGrids250m Using Sentinel-2 Spectral Images in the Qinghai-Tibetan Plateau
文献类型：期刊论文
| 作者 | Yang, Jiayi5,6; Fan, Junjian5; Lan, Zefan5,6; Mu, Xingmin5,6; Wu, Yiping4; Xin, Zhongbao3; Miping, Puqiong2; Zhao, Guangju1,5,6 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023 |
| 卷号 | 15期号:1页码:17 |
| 关键词 | soil organic carbon Sentinel-2 digital soil mapping machine learning Qinghai-Tibetan Plateau |
| DOI | 10.3390/rs15010114 |
| 通讯作者 | Zhao, Guangju(gjzhao@ms.iswc.ac.cn) |
| 英文摘要 | Soil organic carbon (SOC) is a critical indicator for the global carbon cycle and the overall carbon pool balance. Obtaining soil maps of surface SOC is fundamental to evaluating soil quality, regulating climate change, and global carbon cycle modeling. However, efficient approaches for obtaining accurate SOC information remain challenging, especially in remote or inaccessible regions of the Qinghai-Tibet Plateau (QTP), which is influenced by complex terrains, climate change, and human activities. This study employed field measurements, SoilGrids250m (SOC_250m, a spatial resolution of 250 m x 250 m), and Sentinel-2 images with different machine learning methods to map SOC content in the QTP. Four machine learning methods including partial least squares regression (PLSR), support vector machines (SVM), random forest (RF), and artificial neural network (ANN) were used to construct spatial prediction models based on 396 field-collected sampling points and various covariates from remote sensing images. Our results revealed that the RF model outperformed the PLSR, SVM, and ANN models, with a higher determination coefficient (R-2 of 0.82 is from the training datasets) and the ratio of performance to deviation (RPD = 2.54). The selected covariates according to the variable importance in projection (VIP) were: SOC_250m, B2, B11, Soil-Adjusted Vegetation Index (SAVI), Normalized Difference Vegetation Index (NDVI), B5, and Soil-Adjusted Total Vegetation Index (SATVI). The predicted SOC map showed an overall decrease in SOC content ranging from 69.30 g center dot kg(-1) in the southeast to 1.47 g center dot kg(-1) in the northwest. Our prediction showed spatial heterogeneity of SOC content, indicating that Sentinel-2 images were acceptable for characterizing the variability of SOC. The findings provide a scientific basis for carbon neutrality in the QTP and a reference for the digital mapping of SOC in the alpine region. |
| WOS关键词 | ARTIFICIAL NEURAL-NETWORKS ; RANDOM FOREST ; CLIMATE-CHANGE ; PREDICTION ; REGRESSION ; STOCKS ; VEGETATION ; MOISTURE ; MATTER ; CLASSIFICATION |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000909244900001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188920]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhao, Guangju |
| 作者单位 | 1.Nanjing Hydraul Res Inst, Sate Key Lab Hydrol Water Resources & Hydraul Engn, Nanjing 210029, Peoples R China 2.Hydrol & Water Resources Geol Bur Tibet Autonomous, Hydrol & Water Resources Branch Bur Shigatsa, Shigatsa 857000, Peoples R China 3.Beijing Forestry Univ, Inst Soil & Water Conservat, Beijing 100083, Peoples R China 4.Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Dept Earth & Environm Sci, Xian 710049, Peoples R China 5.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Xianyang 712100, Peoples R China 6.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Framing Loess Pl, Xianyang 712100, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Jiayi,Fan, Junjian,Lan, Zefan,et al. Improved Surface Soil Organic Carbon Mapping of SoilGrids250m Using Sentinel-2 Spectral Images in the Qinghai-Tibetan Plateau[J]. REMOTE SENSING,2023,15(1):17. |
| APA | Yang, Jiayi.,Fan, Junjian.,Lan, Zefan.,Mu, Xingmin.,Wu, Yiping.,...&Zhao, Guangju.(2023).Improved Surface Soil Organic Carbon Mapping of SoilGrids250m Using Sentinel-2 Spectral Images in the Qinghai-Tibetan Plateau.REMOTE SENSING,15(1),17. |
| MLA | Yang, Jiayi,et al."Improved Surface Soil Organic Carbon Mapping of SoilGrids250m Using Sentinel-2 Spectral Images in the Qinghai-Tibetan Plateau".REMOTE SENSING 15.1(2023):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。