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| DOI | 10.1080/19475683.2024.2360213 |
| Rapid monitoring of the spatial distribution of soil organic matter using unmanned aerial vehicle imaging spectroscopy | |
| 发表日期 | 2024 |
| ISSN | 1947-5683 |
| EISSN | 1947-5691 |
| 英文摘要 | An existing technique for quickly obtaining the spatial distribution data of soil organic matter (SOM) involves combining an unmanned aerial vehicle (UAV) platform and imaging spectroscopy technology; this technique is suitable for precision agricultural management and real-time monitoring. In this study, the average spectral data were first extracted via circular regions of interest (ROIs) of different radii and modelled using the measured SOM to determine the optimal extraction range for the spectral data. Partial least-squares regression (PLSR) and support vector machine (SVM) models were constructed based on the raw spectra, standard normal transform spectra, multiple scattering-corrected spectra, and first-order differential spectra. The difference index, ratio index, and normalized index were calculated and analysed for their correlation with SOM content, and the spectral indices were screened to establish the SOM prediction model. Finally, the accuracy of the model was evaluated, and we selected the optimal model to map the spatial distribution of SOM. The results of our study show that 1) the radius of the ROI significantly affects the model's accuracy; 2) the accuracy of the nonlinear SVM model is much higher than that of the linear PLSR model; 3) the prediction model based on spectral indices is better than full-band model. This study can serve as a model for the application of UAV imaging spectroscopy technology to field-scale SOM estimations and rapid monitoring, as well as provide technical support for precision agriculture and climate change studies. |
| 英文关键词 | UAV; imaging spectroscopy; spectral index; coastal soil; soil organic matter |
| 语种 | 英语 |
| WOS研究方向 | Geography ; Physical Geography ; Remote Sensing |
| WOS类目 | Geography ; Geography, Physical ; Remote Sensing |
| WOS记录号 | WOS:001235426200001 |
| 来源期刊 | ANNALS OF GIS
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/298353 |
| 作者单位 | Nanjing University of Information Science & Technology; Ministry of Natural Resources of the People's Republic of China |
| 推荐引用方式 GB/T 7714 | . Rapid monitoring of the spatial distribution of soil organic matter using unmanned aerial vehicle imaging spectroscopy[J],2024. |
| APA | (2024).Rapid monitoring of the spatial distribution of soil organic matter using unmanned aerial vehicle imaging spectroscopy.ANNALS OF GIS. |
| MLA | "Rapid monitoring of the spatial distribution of soil organic matter using unmanned aerial vehicle imaging spectroscopy".ANNALS OF GIS (2024). |
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