Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/IGARSS.2012.6351057 |
COMPARISON OF THREE TIME-SERIES NDVI RECONSTRUCTION METHODS BASED ON TIMESAT | |
Song Chunqiao; Huang Bo; You Songcai | |
通讯作者 | You Songcai |
会议名称 | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
会议日期 | JUL 22-27, 2012 |
会议地点 | Munich, GERMANY |
英文摘要 | This paper has presented the reconstructing performances of AG, D-L and S-G methods for different types of vegetation cover and quantitatively comparing residuals and RMSE between raw and reconstructing NDVI. Time-series NDVI curves of six vegetation cover types of desert, desert steppe, meadow, shrub, crop, and forest. The results show that AG and D-L have better performances in keeping overall shape of curves. However, D-L may generate slightly more deviations in fitting the peak points of growing season curve than AG in general. The highest correlation coefficients of reconstructing curve with raw curve are of AG, followed by D-L, S-G. The AG method reconstructed the NDVI curves slightly better than D-L and better than S-G, particularly for greenup and dormancy period of growing season (RMSE (AG) < RMSE (D-L) < RMSE(S-G)). However, in peak of curves, the RMSE value of S-G was lower than that of other two methods. |
英文关键词 | NDVI image reconstruction filter TIMESAT |
来源出版物 | 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
ISSN | 2153-6996 |
出版年 | 2012 |
页码 | 2225-2228 |
EISBN | 978-1-4673-1159-5 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | CPCI-S |
WOS记录号 | WOS:000313189402103 |
WOS关键词 | EXTRACTION |
WOS类目 | Engineering, Electrical & Electronic ; Geosciences, Multidisciplinary ; Remote Sensing |
WOS研究方向 | Engineering ; Geology ; Remote Sensing |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/301226 |
作者单位 | Minist Agr, Key Lab Agr Informat Technol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Song Chunqiao,Huang Bo,You Songcai. COMPARISON OF THREE TIME-SERIES NDVI RECONSTRUCTION METHODS BASED ON TIMESAT[C]:IEEE,2012:2225-2228. |
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