Retrieval of a Temporal High-Resolution Leaf Area Index (LAI) by Combining MODIS LAI and ASTER Reflectance Data
文献类型：期刊论文
| 作者 | Qu, Yonghua1; Han, Wenchao1; Ma, Mingguo1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 7期号:1页码:505-518 |
| 关键词 | leaf area index dynamic Bayesian network uncertainty analysis high spatial resolution high temporal resolution |
| 通讯作者 | Qu, YH (reprint author), Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China. |
| 英文摘要 | This paper aims to retrieve temporal high-resolution LAI derived by fusing MOD15 products (1 km resolution), field-measured LAI and ASTER reflectance (15-m resolution). Though the inversion of a physically based canopy reflectance model using high-resolution satellite data can produce high-resolution LAI products, the obstacle to producing temporal products is obvious due to the low temporal resolution of high resolution satellite data. A feasible method is to combine different source data, taking advantage of the spatial and temporal resolution of different sensors. In this paper, a high-resolution LAI retrieval method was implemented using a dynamic Bayesian network (DBN) inversion framework. MODIS LAI data with higher temporal resolution were used to fit the temporal background information, which is then updated by new, higher resolution data, herein ASTER data. The interactions between the different resolution data were analyzed from a Bayesian perspective. The proposed method was evaluated using a dataset collected in the HiWater (Heihe Watershed Allied Telemetry Experimental Research) experiment. The determination coefficient and RMSE between the estimated and measured LAI are 0.80 and 0.43, respectively. The research results suggest that even though the coarse-resolution background information differs from the high-resolution satellite observations, a satisfactory estimation result for the temporal high-resolution LAI can be produced using the accumulated information from both the new observations and background information. |
| 研究领域[WOS] | Remote Sensing |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000348401900010 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38524]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Qu, Yonghua 2.Han, Wenchao] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 3.[Qu, Yonghua 4.Han, Wenchao] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100875, Peoples R China 5.[Qu, Yonghua 6.Han, Wenchao] Beijing Normal Univ, Beijing Key Lab Remote Sensing Environm & Digital, Beijing 100875, Peoples R China 7.[Qu, Yonghua 8.Han, Wenchao] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China 9.[Ma, Mingguo] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lab Remote Sensing & Geospatial Sci, Lanzhou 730000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qu, Yonghua,Han, Wenchao,Ma, Mingguo. Retrieval of a Temporal High-Resolution Leaf Area Index (LAI) by Combining MODIS LAI and ASTER Reflectance Data[J]. REMOTE SENSING,2015,7(1):505-518. |
| APA | Qu, Yonghua,Han, Wenchao,&Ma, Mingguo.(2015).Retrieval of a Temporal High-Resolution Leaf Area Index (LAI) by Combining MODIS LAI and ASTER Reflectance Data.REMOTE SENSING,7(1),505-518. |
| MLA | Qu, Yonghua,et al."Retrieval of a Temporal High-Resolution Leaf Area Index (LAI) by Combining MODIS LAI and ASTER Reflectance Data".REMOTE SENSING 7.1(2015):505-518. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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