Comparison of three NDVI time-series fitting methods in crop phenology detection in Northeast China | |
Tao Fulu | |
2014 | |
会议名称 | 35th International Symposium on Remote Sensing of Environment, ISRSE 2013, April 22, 2013 - April 26, 2013 |
会议地点 | Beijing, China |
关键词 | Crops Climate change Remote sensing |
英文摘要 | Phenological changes of cropland are the pivotal basis for farm management, agricultural production, and climate change research. Over the past decades, a range of methods have been used to extract phenological events based on satellite derived continuous vegetation index time series, however, large uncertainties still exist. In this study, three smoothing methods were compared to reduce the potential uncertainty and to quantify crop green-up dates over Northeast China. The results indicated that the crop spring onset dates estimated by three methods show variance in the dates, but with similar spatial pattern. In 60% of the study area, the standard deviation (SD) of the estimated starting date from different method is less than 10 days, while 39.5% of total pixels have SDs between 10days and 30 days. Through comparative analysis against the observation phenological data, we concluded that Asymmetric Gaussians produced the most approximative results of all, followed by Double Logistic algorithm, and Savizky-Glolay algorithm performed worst. The starting dates of crops occur mostly between May and June in this region. The Savitzky-Golay has the earliest estimates, while the Asymmetric Gaussians and Double logistic fitting method show similar and later estimates, which are more consistent with the observed data. |
收录类别 | EI |
会议录出版者 | Institute of Physics Publishing |
语种 | 英语 |
ISSN号 | 17551307 |
内容类型 | 会议论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/31071] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Tao Fulu. Comparison of three NDVI time-series fitting methods in crop phenology detection in Northeast China[C]. 见:35th International Symposium on Remote Sensing of Environment, ISRSE 2013, April 22, 2013 - April 26, 2013. Beijing, China. |
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