Extracting multiple cropping index based on NDVI time series: A method integrating temporal and spatial information
文献类型：会议论文
| 作者 | Liang Shouzhen; Yang Chunhua; Yu Dingfeng; Ma Wandong |
| 出版日期 | 2014 |
| 会议名称 | 2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014 |
| 会议地点 | Beijing, China |
| 英文摘要 | Multiple cropping index (MCI) can be extracted from satellite-derived Normalized Difference Vegetation Index (NDVI) time-series data. However, NDVI time-series data are often affected by noise, e.g. cloud, aerosol. The reconstruction of high-quality NDVI time series is a key to get accuracy MCI. A method integrating temporal and spatial information is developed to remove or reduce the effect of noises on time series. The proposed method mainly consists of two steps: (i) processing of cloudy pixel in spatial domain based on land cover information; and (ii) data processing in the temporal domain (HANTS algorithm). The results show this method can effectively reconstruct NDVI time series and MCI is highly consistent with statistical data. Nevertheless, this method needs ancillary information - land cover data and the quality of reconstructed time series depends on the accuracy of landcover to a certain degree, which may limit the application of the method. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6221]  |
| 专题 | 深圳先进技术研究院_其他 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Liang Shouzhen,Yang Chunhua,Yu Dingfeng,et al. Extracting multiple cropping index based on NDVI time series: A method integrating temporal and spatial information[C]. 见:2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014. Beijing, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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