Monitoring Spatio-Temporal Variations of Ponds in Typical Rural Area in the Huai River Basin of China
文献类型：期刊论文
| 作者 | Ji, Zhonglin; Ren, Hongyan1; Zha, Chenfeng2; Adem, Eshetu Shifaw3,4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024 |
| 卷号 | 16期号:1页码:39 |
| 关键词 | remote sensing ALOS GF object-oriented machine learning |
| DOI | 10.3390/rs16010039 |
| 产权排序 | 2 |
| 英文摘要 | Ponds constitute a pivotal component of aquatic ecosystems. The aquatic ecosystem of the Huai River Basin (HRB) in China was once damaged by severe pollution, and numerous ponds in the basin have not been secured. In this paper, Shenqiu County, a typical county in HRB with many ponds, is selected. Based on high-resolution images with ALOS in 2010, GF-2 in 2016, and GF-1 in 2022, we employed discriminant analysis (DA), classification and regression tree, support vector machine, and random forest to extract the ponds based on object-oriented and further analyzed the spatial-temporal variations of the ponds in this county. The results of the DA in these three years exhibited a higher kappa coefficient (>0.7), and overall accuracy (>75%), signifying superior performance when compared to the other three methods. There were 4625, 5315, and 4748 ponds in 2010, 2016, and 2022, with a total area of 12.87, 11.99, and 9.37 km2, respectively. The number of ponds had a trend of rising in the initial period (2010-2016) and falling later (2016-2022), while the total area revealed a continuous decline. Meanwhile, these ponds showed a clustering phenomenon with three main clustering areas, and the scope of the clustering areas also changed to a certain extent from 2010 to 2022. Our study offers valuable methodological support for the ecological monitoring and management of water environments in regions characterized by a dense concentration of ponds. The crucial data related to ponds in this study will help inform both environmental and social development initiatives within the area. |
| WOS关键词 | IMAGE SEGMENTATION ; AQUACULTURE PONDS ; WATER-QUALITY ; CLASSIFICATION ; EXTRACTION ; CONSERVATION ; ECOLOGY ; SURFACE ; SYSTEM ; CANCER |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001141484700001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201684]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Liaocheng Univ, Sch Geog & Environm, Liaocheng 252059, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Beijing Goldenwater Informat Technol Co Ltd, Beijing 100101, Peoples R China 4.Fujian Normal Univ, Sch Geog Sci, Fuzhou 350007, Peoples R China 5.Wollo Univ, Dept Geog & Environm Studies, Dessie 1145, Ethiopia |
| 推荐引用方式 GB/T 7714 | Ji, Zhonglin,Ren, Hongyan,Zha, Chenfeng,et al. Monitoring Spatio-Temporal Variations of Ponds in Typical Rural Area in the Huai River Basin of China[J]. REMOTE SENSING,2024,16(1):39. |
| APA | Ji, Zhonglin,Ren, Hongyan,Zha, Chenfeng,&Adem, Eshetu Shifaw.(2024).Monitoring Spatio-Temporal Variations of Ponds in Typical Rural Area in the Huai River Basin of China.REMOTE SENSING,16(1),39. |
| MLA | Ji, Zhonglin,et al."Monitoring Spatio-Temporal Variations of Ponds in Typical Rural Area in the Huai River Basin of China".REMOTE SENSING 16.1(2024):39. |
入库方式： OAI收割
来源：地理科学与资源研究所
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