Estimation of grazing intensity of grasslands on the northern Tianshan Mountains based on LOESS and DTW algorithm
文献类型：期刊论文
| 作者 | Xu, Huiting2; Yu, Rui2; Wu, Feng1 |
| 刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
 |
| 出版日期 | 2026-06-01 |
| 卷号 | 236页码:606-621 |
| 关键词 | Leaf area index (LAI) Grazed areas Local weighted regression Dynamic time warping |
| ISSN号 | 0924-2716 |
| DOI | 10.1016/j.isprsjprs.2026.04.026 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Accurate estimation of grazing intensity is essential for understanding grassland dynamics and supporting sustainable grazing management. However, traditional estimation methods rely heavily on field surveys or statistical yearbooks and are constrained by low spatial resolution, infrequent updates, and limited adaptability to large-scale dynamic management. Moreover, many large-scale assessments fail to consider the spatial heterogeneity of livestock foraging behavior, leading to misrepresentation of localized grazing impacts. In this study, we used MODIS LAI data to construct a full-growth curve via a sliding window and locally estimated scatterplot smoothing. Dynamic Time Warping (DTW) was further applied to correct for climatic disturbances, enabling a more accurate differentiation between LAI variations induced by grazing and those driven by climate fluctuations. Deviations from this curve allowed us to identify grazed pixel and estimate actual grazing intensity on the northern Tianshan Mountains. Key findings include: (1) Grazing intensity on the northern Tianshan Mountains was estimated at 0-41.07, 0-32.80, 0-35.54, and 0-35.00 SU & centerdot;ha(-1) in 2005, 2010, 2015, and 2020, respectively. (2) The estimated grazing intensity showed a significant positive correlation with county-level livestock census data (R-2 = 0.65-0.69, p < 0.01). (3) Compared with the LHGI dataset, estimates achieved high consistency (R-2 = 0.77-0.86; RMSE = 0.60-0.68). This study provides a scientific basis for the management of grassland ecosystems and the optimization of grazing on the northern Tianshan Mountains, contributing to the improved sustainable utilization of grassland resources. |
| URL标识 | 查看原文 |
| WOS关键词 | LEAF-AREA INDEX ; MODEL ; CHINA ; LIGHT |
| WOS研究方向 | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001745664400001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221480]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Yu, Rui |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Hainan Univ, Sch Ecol, Hainan Baoting Trop Forest Ecosyst Observat & Res, Hainan, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Xu, Huiting,Yu, Rui,Wu, Feng. Estimation of grazing intensity of grasslands on the northern Tianshan Mountains based on LOESS and DTW algorithm[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2026,236:606-621. |
| APA | Xu, Huiting,Yu, Rui,&Wu, Feng.(2026).Estimation of grazing intensity of grasslands on the northern Tianshan Mountains based on LOESS and DTW algorithm.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,236,606-621. |
| MLA | Xu, Huiting,et al."Estimation of grazing intensity of grasslands on the northern Tianshan Mountains based on LOESS and DTW algorithm".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 236(2026):606-621. |
入库方式： OAI收割
来源：地理科学与资源研究所
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