Retrieval and application of leaf area index over China using HJ-1 data
文献类型：期刊论文
| 作者 | Zhao, Xiaojie; Cao, Chunxiang; Ni, Xiliang; Chen, Wei |
| 出版日期 | 2016 |
| 卷号 | 0期号:0页码:1-18 |
| 英文摘要 | Although leaf area index (LAI) is one of the essential parameters employed to monitor global vegetation, no global LAI products which use a fine spatial resolution yet exist. To remedy this, we herein outline an adapted LAI retrieval algorithm which employs HuanJing-1 charge-coupled device (HJ-1 CCD) data, which was originally determined using Landsat thematic mapper (TM) data. Validation of this adapted LAI retrieval algorithm via field measurements demonstrates that errors for ∼72% of the sample sites were within a range of 0.2 for the Bashang Grassland in Hebei Province, and within 1.0 for the Taihe region in Jiangxi Province. In addition, the correlation coefficients (R) of HJ-1 LAI and ground-measured LAI data were similar to those of MODIS LAI and ground-measured LAI datasets for both regions. These results demonstrate the potential for transposing a mature Landsat LAI-retrieval algorithm to HJ-1 data. Furthermore, we generated 30 m HJ-1 LAI datasets for China for the summer of 2012. An analytical comparison between retrieved HJ-1 LAI and MODIS LAI data showed the coherence of the LAI distribution. Finally, a specific post-forest fire area was mapped using HJ-1 LAI datasets. © 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group |
| 收录类别 | EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20164302930097 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39635]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 推荐引用方式 GB/T 7714 | Zhao, Xiaojie,Cao, Chunxiang,Ni, Xiliang,et al. Retrieval and application of leaf area index over China using HJ-1 data[J],2016,0(0):1-18. |
| APA | Zhao, Xiaojie,Cao, Chunxiang,Ni, Xiliang,&Chen, Wei.(2016).Retrieval and application of leaf area index over China using HJ-1 data.,0(0),1-18. |
| MLA | Zhao, Xiaojie,et al."Retrieval and application of leaf area index over China using HJ-1 data".0.0(2016):1-18. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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。