Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data
文献类型：期刊论文
| 作者 | Li, Qingting1; Wang, Cuizhen1; Zhang, Bing1; Lu, Linlin1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 7期号:12页码:15318-15339 |
| 关键词 | object-based feature selection decision tree satellite time series crop classification |
| 通讯作者 | Li, QT (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China. |
| 英文摘要 | Cropland mapping via remote sensing can provide crucial information for agri-ecological studies. Time series of remote sensing imagery is particularly useful for agricultural land classification. This study investigated the synergistic use of feature selection, Object-Based Image Analysis (OBIA) segmentation and decision tree classification for cropland mapping using a finer temporal-resolution Landsat-MODIS Enhanced time series in 2007. The enhanced time series extracted 26 layers of Normalized Difference Vegetation Index (NDVI) and five NDVI Time Series Indices (TSI) in a subset of agricultural land of Southwest Missouri. A feature selection procedure using the Stepwise Discriminant Analysis (SDA) was performed, and 10 optimal features were selected as input data for OBIA segmentation, with an optimal scale parameter obtained by quantification assessment of topological and geometric object differences. Using the segmented metrics in a decision tree classifier, an overall classification accuracy of 90.87% was achieved. Our study highlights the advantage of OBIA segmentation and classification in reducing noise from in-field heterogeneity and spectral variation. The crop classification map produced at 30 m resolution provides spatial distributions of annual and perennial crops, which are valuable for agricultural monitoring and environmental assessment studies. |
| 研究领域[WOS] | Remote Sensing |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000367534000015 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38047]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Li, Qingting 2.Zhang, Bing 3.Lu, Linlin] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 4.[Wang, Cuizhen] Univ S Carolina, Dept Geog, Columbia, SC 29208 USA |
| 推荐引用方式 GB/T 7714 | Li, Qingting,Wang, Cuizhen,Zhang, Bing,et al. Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data[J]. REMOTE SENSING,2015,7(12):15318-15339. |
| APA | Li, Qingting,Wang, Cuizhen,Zhang, Bing,&Lu, Linlin.(2015).Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data.REMOTE SENSING,7(12),15318-15339. |
| MLA | Li, Qingting,et al."Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data".REMOTE SENSING 7.12(2015):15318-15339. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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