Detecting different types of directional land cover changes using modis ndvi time series dataset
文献类型：期刊论文
| 作者 | Xu, Lili1,2; Li, Baolin1,3; Yuan, Yecheng1; Gao, Xizhang1; Zhang, Tao1,2; Sun, Qingling1,2 |
| 刊名 | Remote sensing
 |
| 出版日期 | 2016-06-01 |
| 卷号 | 8期号:6页码:23 |
| 关键词 | Time series Land cover change detection Ndvi Multi-targets Directional change Abrupt change Trend change |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs8060495 |
| 通讯作者 | Li, baolin(libl@lreis.ac.cn) |
| 英文摘要 | This study proposed a multi-target hierarchical detection (mthd) method to simultaneously and automatically detect multiple directional land cover changes. mthd used a hierarchical strategy to detect both abrupt and trend land cover changes successively. first, grubbs' test eliminated short-lived changes by considering them outliers. then, the brown-forsythe test and the combination of tome's method and the chow test were applied to determine abrupt changes. finally, sen's slope estimation coordinated with the mann-kendall test detection method was used to detect trend changes. results demonstrated that both abrupt and trend land cover changes could be detected accurately and automatically. the overall accuracy of abrupt land cover changes was 87.0% and the kappa index was 0.74. detected trends of land cover change indicated high consistency between ndvi (normalized difference vegetation index), change trends from lts (landsat thematic mapper and enhanced thematic mapper plus time series dataset), and modis (moderate resolution imaging spectroradiometer) time series datasets with the percentage of samples indicating consistency of 100%. for cropland, trends of millet yield per unit and average ndvi of cropland indicated high consistency with a linear regression determination coefficient of 0.94 (p < 0.01). compared with other multi-target change detection methods, the changes detected by the mthd could be related closely with specific ecosystem changes, reducing the risk of false changes in the area with frequent and strong interannual fluctuations. |
| WOS关键词 | HORQIN SANDY LAND ; FOREST DISTURBANCE ; VEGETATION ACTIVITY ; SHELTER FORESTS ; TREND ANALYSIS ; CHINA ; DEGRADATION ; ECOSYSTEMS ; IMPACTS ; CLIMATE |
| WOS研究方向 | Remote Sensing |
| WOS类目 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000379985300054 |
| 出版者 | MDPI AG |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374534 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Li, Baolin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Lili,Li, Baolin,Yuan, Yecheng,et al. Detecting different types of directional land cover changes using modis ndvi time series dataset[J]. Remote sensing,2016,8(6):23. |
| APA | Xu, Lili,Li, Baolin,Yuan, Yecheng,Gao, Xizhang,Zhang, Tao,&Sun, Qingling.(2016).Detecting different types of directional land cover changes using modis ndvi time series dataset.Remote sensing,8(6),23. |
| MLA | Xu, Lili,et al."Detecting different types of directional land cover changes using modis ndvi time series dataset".Remote sensing 8.6(2016):23. |
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来源：中国科学院大学
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