Evaluating the Impact of Different Spatial Resolutions of UAV Imagery on Mapping Tidal Marsh Vegetation Using Multiple Plots of Different Complexity
文献类型：期刊论文
| 作者 | Liu, Qingsheng2,3,4; Huang, Chong4; Zhang, Xin1,5; Li, He4; Peng, Yu5; Wang, Shuxuan4; Gao, Lijing1; Li, Zishen1,5 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2025-10-30 |
| 卷号 | 17期号:21页码:3598 |
| 关键词 | unmanned aerial vehicle different spatial resolution vegetation composition vegetation structure tidal marsh |
| DOI | 10.3390/rs17213598 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Highlights What are the main findings? The classification accuracy of vegetation varied with images at different spatial resolution. Vegetation complexity affected classification accuracy. What are the implications of the main findings? Mapping tidal marshes with different vegetation complexities should use images of different spatial resolutions. UAV data with 5 cm resolution was recommended for tidal marsh vegetation classification in the Yellow River Delta or regions of similar vegetation complexity.Highlights What are the main findings? The classification accuracy of vegetation varied with images at different spatial resolution. Vegetation complexity affected classification accuracy. What are the implications of the main findings? Mapping tidal marshes with different vegetation complexities should use images of different spatial resolutions. UAV data with 5 cm resolution was recommended for tidal marsh vegetation classification in the Yellow River Delta or regions of similar vegetation complexity.Abstract Unmanned aerial vehicle (UAV) images have increasingly become important data for accurate mapping of tidal marsh vegetation. They are particularly important for determining what spatial resolution is needed because UAV imaging requires a trade-off between spatial resolution and imaging extent. However, there are still insufficient studies for assessing the effects of spatial resolution on the classification accuracy of tidal marsh vegetation. This study utilized UAV images with spatial resolutions of 2 cm, 5 cm, and 10 cm, respectively, to classify seven tidal marsh plots with different vegetation complexities in the Yellow River Delta (YRD), China, using the object-oriented example-based feature extraction with support vector machine approach and the pixel-based random forest classifier, and compared the differences in vegetation classification accuracy. This study indicated the following: (1) Vegetation classification varied at different spatial resolutions, with a difference of 0.95-8.76% between the highest and lowest classification accuracy for different plots. (2) Vegetation complexity influenced classification accuracy. Classification accuracy was lower when the relative dominance and proportional abundance of P. australis and T. chinensis were higher in the plots. (3) Considering the trade-off between classification accuracy and imaging extent, UAV data with 5 cm spatial resolution were recommended for tidal marsh vegetation classification in the YRD or similar vegetation complexity regions. |
| URL标识 | 查看原文 |
| WOS关键词 | COASTAL PLANT-COMMUNITIES ; CLASSIFICATION |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001613157000001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217756]  |
| 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 | Liu, Qingsheng |
| 作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China; 2.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China; 3.Key Lab Nat Resource Coupling Proc & Effects, Beijing 100055, 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; 5.Qilu Aerosp Informat Res Inst, Jinan 250132, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Qingsheng,Huang, Chong,Zhang, Xin,et al. Evaluating the Impact of Different Spatial Resolutions of UAV Imagery on Mapping Tidal Marsh Vegetation Using Multiple Plots of Different Complexity[J]. REMOTE SENSING,2025,17(21):3598. |
| APA | Liu, Qingsheng.,Huang, Chong.,Zhang, Xin.,Li, He.,Peng, Yu.,...&Li, Zishen.(2025).Evaluating the Impact of Different Spatial Resolutions of UAV Imagery on Mapping Tidal Marsh Vegetation Using Multiple Plots of Different Complexity.REMOTE SENSING,17(21),3598. |
| MLA | Liu, Qingsheng,et al."Evaluating the Impact of Different Spatial Resolutions of UAV Imagery on Mapping Tidal Marsh Vegetation Using Multiple Plots of Different Complexity".REMOTE SENSING 17.21(2025):3598. |
入库方式： OAI收割
来源：地理科学与资源研究所
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