Outlier Reconstruction of NDVI for Vegetation-Cover Dynamic Analyses
文献类型：期刊论文
| 作者 | Sun, Zhengbao1,4; Wang, Lizhen4; Chu, Chen2; Zhang, Yu3 |
| 刊名 | APPLIED SCIENCES-BASEL
 |
| 出版日期 | 2022-05-01 |
| 卷号 | 12期号:9页码:15 |
| 关键词 | outlier reconstruction tensor decomposition tensor stream analysis normalized difference vegetation index (NDVI) Salween River estuary |
| DOI | 10.3390/app12094412 |
| 通讯作者 | Wang, Lizhen(lzhwang@ynu.edu.cn) |
| 英文摘要 | The normalized difference vegetation index (NDVI) contains important data for providing vegetation-cover information and supporting environmental analyses. However, understanding long-term vegetation cover dynamics remains challenging due to data outliers that are found in cloudy regions. In this article, we propose a sliding-window-based tensor stream analysis algorithm (SWTSA) for reconstructing outliers in NDVI from multitemporal optical remote-sensing images. First, we constructed a tensor stream of NDVI that was calculated from clear-sky optical remote-sensing images corresponding to seasons on the basis of the acquired date. Second, we conducted tensor decomposition and reconstruction by SWTSA. Landsat series remote-sensing images were used in experiments to demonstrate the applicability of the SWTSA. Experiments were carried out successfully on the basis of data from the estuary area of Salween River in Southeast Asia. Compared with random forest regression (RFR), SWTSA has higher accuracy and better reconstruction capabilities. Results show that SWTSA is reliable and suitable for reconstructing outliers of NDVI from multitemporal optical remote-sensing images. |
| WOS关键词 | LAND-SURFACE TEMPERATURE ; CLOUD COVER ; SATELLITE DATA ; MODIS ; REFLECTANCE ; PRODUCTS ; IMAGERY ; FUSION ; MODEL ; MAPS |
| 资助项目 | National Natural Science Foundation of China (NSFC)[41906148] ; National Natural Science Foundation of China (NSFC)[61966036] ; Project of Innovative Research Team of Yunnan Province[2018HC019] |
| WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000794683000001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China (NSFC) ; Project of Innovative Research Team of Yunnan Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/176280]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Lizhen |
| 作者单位 | 1.Yunnan Univ, Sch Engn, Kunming 650500, Yunnan, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Yunnan Univ, Sch Earth Sci, Kunming 650500, Yunnan, Peoples R China 4.Yunnan Univ, Sch Informat Sci & Engn, Kunming 650500, Yunnan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Zhengbao,Wang, Lizhen,Chu, Chen,et al. Outlier Reconstruction of NDVI for Vegetation-Cover Dynamic Analyses[J]. APPLIED SCIENCES-BASEL,2022,12(9):15. |
| APA | Sun, Zhengbao,Wang, Lizhen,Chu, Chen,&Zhang, Yu.(2022).Outlier Reconstruction of NDVI for Vegetation-Cover Dynamic Analyses.APPLIED SCIENCES-BASEL,12(9),15. |
| MLA | Sun, Zhengbao,et al."Outlier Reconstruction of NDVI for Vegetation-Cover Dynamic Analyses".APPLIED SCIENCES-BASEL 12.9(2022):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
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。