Extracting multiple cropping index based on NDVI time series: A method integrating temporal and spatial information
Liang Shouzhen; Yang Chunhua; Yu Dingfeng; Ma Wandong
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
内容类型会议论文
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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace